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Memory
Memory
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Overview of the forms and functions of memory

Memory is the faculty of the mind by which data or information is encoded, stored, and retrieved when needed. It is the retention of information over time for the purpose of influencing future action.[1] If past events could not be remembered, it would be impossible for language, relationships, or personal identity to develop.[2] Memory loss is usually described as forgetfulness or amnesia.[3][4][5][6][7][8]

Memory is often understood as an informational processing system with explicit and implicit functioning that is made up of a sensory processor, short-term (or working) memory, and long-term memory.[9] This can be related to the neuron. The sensory processor allows information from the outside world to be sensed in the form of chemical and physical stimuli and attended to various levels of focus and intent. Working memory serves as an encoding and retrieval processor. Information in the form of stimuli is encoded in accordance with explicit or implicit functions by the working memory processor. The working memory also retrieves information from previously stored material. Finally, the function of long-term memory is to store through various categorical models or systems.[9]

Declarative, or explicit memory, is the conscious storage and recollection of data.[10] Under declarative memory resides semantic and episodic memory. Semantic memory refers to memory that is encoded with specific meaning.[2] Meanwhile, episodic memory refers to information that is encoded along a spatial and temporal plane.[11][12][13] Declarative memory is usually the primary process thought of when referencing memory.[2] Non-declarative, or implicit, memory is the unconscious storage and recollection of information.[14] An example of a non-declarative process would be the unconscious learning or retrieval of information by way of procedural memory, or a priming phenomenon.[2][14][15] Priming is the process of subliminally arousing specific responses from memory and shows that not all memory is consciously activated,[15] whereas procedural memory is the slow and gradual learning of skills that often occurs without conscious attention to learning.[2][14]

Memory is not a perfect processor and is affected by many factors. The ways by which information is encoded, stored, and retrieved can all be corrupted. Pain, for example, has been identified as a physical condition that impairs memory, and has been noted in animal models as well as chronic pain patients.[16][17][18][19] The amount of attention given new stimuli can diminish the amount of information that becomes encoded for storage.[2] Also, the storage process can become corrupted by physical damage to areas of the brain that are associated with memory storage, such as the hippocampus.[20][21] Finally, the retrieval of information from long-term memory can be disrupted because of decay within long-term memory.[2] Normal functioning, decay over time, and brain damage all affect the accuracy and capacity of the memory.[22][23]

Sensory memory

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Sensory memory holds information, derived from the senses, less than one second after an item is perceived. The ability to look at an item and remember what it looked like with just a split second of observation, or memorization, is an example of sensory memory. It is out of cognitive control and is an automatic response. With very short presentations, participants often report that they seem to "see" more than they can actually report. The first precise experiments exploring this form of sensory memory were conducted by George Sperling (1963)[24] using the "partial report paradigm." Subjects were presented with a grid of 12 letters, arranged into three rows of four. After a brief presentation, subjects were then played either a high, medium or low tone, cuing them which of the rows to report. Based on these partial report experiments, Sperling was able to show that the capacity of sensory memory was approximately 12 items, but that it degraded very quickly (within a few hundred milliseconds). Because this form of memory degrades so quickly, participants would see the display but be unable to report all of the items (12 in the "whole report" procedure) before they decayed. This type of memory cannot be prolonged via rehearsal.

Three types of sensory memories exist. Iconic memory is a fast decaying store of visual information, a type of sensory memory that briefly stores an image that has been perceived for a small duration. Echoic memory is a fast decaying store of auditory information, also a sensory memory that briefly stores sounds that have been perceived for short durations.[25][26] Haptic memory is a type of sensory memory that represents a database for touch stimuli.

Short-term memory

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Short-term memory, not to be confused with working memory, allows recall for a period of several seconds to a minute without rehearsal. Its capacity, however, is very limited. In 1956, George A. Miller (1920–2012), when working at Bell Laboratories, conducted experiments showing that the store of short-term memory was 7±2 items. (Hence, the title of his famous paper, "The Magical Number 7±2.") Modern perspectives estimate the capacity of short-term memory to be lower, typically on the order of 4–5 items,[27] or argue for a more flexible limit based on information instead of items.[28] Memory capacity can be increased through a process called chunking.[29] For example, in recalling a ten-digit telephone number, a person could chunk the digits into three groups: first, the area code (such as 123), then a three-digit chunk (456), and, last, a four-digit chunk (7890). This method of remembering telephone numbers is far more effective than attempting to remember a string of 10 digits; this is because we are able to chunk the information into meaningful groups of numbers. This is reflected in some countries' tendencies to display telephone numbers as several chunks of two to four numbers.

Short-term memory is believed to rely mostly on an acoustic code for storing information, and to a lesser extent on a visual code. Conrad (1964)[30] found that test subjects had more difficulty recalling collections of letters that were acoustically similar, e.g., E, P, D. Confusion with recalling acoustically similar letters rather than visually similar letters implies that the letters were encoded acoustically. Conrad's (1964) study, however, deals with the encoding of written text. Thus, while the memory of written language may rely on acoustic components, generalizations to all forms of memory cannot be made.

Long-term memory

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Olin Levi Warner's 1896 illustration, Memory, now housed in the Thomas Jefferson Building at the Library of Congress in Washington, D.C.

The storage in sensory memory and short-term memory generally has a strictly limited capacity and duration. This means that information is not retained indefinitely. By contrast, while the total capacity of long-term memory has yet to be established, it can store much larger quantities of information. Furthermore, it can store this information for a much longer duration, potentially for a whole life span. For example, given a random seven-digit number, one may remember it for only a few seconds before forgetting, suggesting it was stored in short-term memory. On the other hand, one can remember telephone numbers for many years through repetition; this information is said to be stored in long-term memory.

While short-term memory encodes information acoustically, long-term memory encodes it semantically: Baddeley (1966)[31] discovered that, after 20 minutes, test subjects had the most difficulty recalling a collection of words that had similar meanings (e.g. big, large, great, huge) long-term. Another part of long-term memory is episodic memory, "which attempts to capture information such as 'what', 'when' and 'where'".[32] With episodic memory, individuals are able to recall specific events such as birthday parties and weddings.

Short-term memory is supported by transient patterns of neuronal communication, dependent on regions of the frontal lobe (especially dorsolateral prefrontal cortex) and the parietal lobe. Long-term memory, on the other hand, is maintained by more stable and permanent changes in neural connections widely spread throughout the brain. The hippocampus is essential (for learning new information) to the consolidation of information from short-term to long-term memory, although it does not seem to store information itself. It was thought that without the hippocampus new memories were unable to be stored into long-term memory and that there would be a very short attention span, as first gleaned from patient Henry Molaison[33][34] after what was thought to be the full removal of both his hippocampi. More recent examination of his brain, post-mortem, shows that the hippocampus was more intact than first thought, throwing theories drawn from the initial data into question. The hippocampus may be involved in changing neural connections for a period of three months or more after the initial learning.

Research has suggested that long-term memory storage in humans may be maintained by DNA methylation,[35] and the 'prion' gene.[36][37]

Further research investigated the molecular basis for long-term memory. By 2015 it had become clear that long-term memory requires gene transcription activation and de novo protein synthesis.[38] Long-term memory formation depends on both the activation of memory promoting genes and the inhibition of memory suppressor genes, and DNA methylation/DNA demethylation was found to be a major mechanism for achieving this dual regulation.[39]

Rats with a new, strong long-term memory due to contextual fear conditioning have reduced expression of about 1,000 genes and increased expression of about 500 genes in the hippocampus 24 hours after training, thus exhibiting modified expression of 9.17% of the rat hippocampal genome. Reduced gene expressions were associated with methylations of those genes.[40]

Considerable further research into long-term memory has illuminated the molecular mechanisms by which methylations are established or removed, as reviewed in 2022.[41] These mechanisms include, for instance, signal-responsive TOP2B-induced double-strand breaks in immediate early genes. Also the messenger RNAs of many genes that had been subjected to methylation-controlled increases or decreases are transported by neural granules (messenger RNP) to the dendritic spines. At these locations the messenger RNAs can be translated into the proteins that control signaling at neuronal synapses.[41]

Memory consolidation

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The transition of a memory from short term to long term is called memory consolidation. Little is known about the physiological processes involved. Two propositions of how the brain achieves this task are backpropagation or backprop and positive feedback from the endocrine system. Backprop has been proposed as a mechanism the brain uses to achieve memory consolidation and has been used, for example by Geoffrey E. Hinton, Nobel Prize laureate for Physics in 2024, to build AI software. It implies a feedback to neurons consolidating a given memory to erase that information when the brain learns that that information is misleading or wrong. However, empirical evidence of its existence is not available.[42]

On the contrary, positive feedback for consolidating a certain short-term memory registered in neurons, and considered by the neuro-endocrine systems to be useful, will make that short-term memory to consolidate into a permanent one. This has been shown to be true experimentally first in insects,[43][44][45][46][47] which use arginine and nitric oxide levels in their brains and endorphin receptors for this task. The involvement of arginine and nitric oxide in memory consolidation has been confirmed in birds, mammals and other creatures, including humans.[48]

Glial cells have also an important role in memory formation, although how they do their work remains to be unveiled.[49][50]

Other mechanisms for memory consolidation can not be discarded.

Multi-store model

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Multi-store model

The multi-store model (also known as Atkinson–Shiffrin memory model) was first described in 1968 by Atkinson and Shiffrin.

The multi-store model has been criticised for being too simplistic. For instance, long-term memory is believed to be actually made up of multiple subcomponents, such as episodic and procedural memory. It also proposes that rehearsal is the only mechanism by which information eventually reaches long-term storage, but evidence shows us capable of remembering things without rehearsal.

The model also shows all the memory stores as being a single unit whereas research into this shows differently. For example, short-term memory can be broken up into different units such as visual information and acoustic information. In a study by Zlonoga and Gerber (1986), patient 'KF' demonstrated certain deviations from the Atkinson–Shiffrin model. Patient KF was brain damaged, displaying difficulties regarding short-term memory. Recognition of sounds such as spoken numbers, letters, words, and easily identifiable noises (such as doorbells and cats meowing) were all impacted. Visual short-term memory was unaffected, suggesting a dichotomy between visual and audial memory.[51]

Working memory

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The working memory model

In 1974 Baddeley and Hitch proposed a "working memory model" that replaced the general concept of short-term memory with active maintenance of information in short-term storage. In this model, working memory consists of three basic stores: the central executive, the phonological loop, and the visuo-spatial sketchpad. In 2000 this model was expanded with the multimodal episodic buffer (Baddeley's model of working memory).[52]

The central executive essentially acts as an attention sensory store. It channels information to the three component processes: the phonological loop, the visuospatial sketchpad, and the episodic buffer.

The phonological loop stores auditory information by silently rehearsing sounds or words in a continuous loop: the articulatory process (for example the repetition of a telephone number over and over again). A short list of data is easier to remember. The phonological loop is occasionally disrupted. Irrelevant speech or background noise can impede the phonological loop. Articulatory suppression can also confuse encoding and words that sound similar can be switched or misremembered through the phonological similarity effect. the phonological loop also has a limit to how much it can hold at once which means that it is easier to remember a lot of short words rather than a lot of long words, according to the word length effect.

The visuospatial sketchpad stores visual and spatial information. It is engaged when performing spatial tasks (such as judging distances) or visual ones (such as counting the windows on a house or imagining images). Those with aphantasia will not be able to engage the visuospatial sketchpad.

The episodic buffer is dedicated to linking information across domains to form integrated units of visual, spatial, and verbal information and chronological ordering (e.g., the memory of a story or a movie scene). The episodic buffer is also assumed to have links to long-term memory and semantic meaning.

The working memory model explains many practical observations, such as why it is easier to do two different tasks, one verbal and one visual, than two similar tasks, and the aforementioned word-length effect. Working memory is also the premise for what allows us to do everyday activities involving thought. It is the section of memory where we carry out thought processes and use them to learn and reason about topics.[52]

Types

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Researchers distinguish between recognition and recall memory. Recognition memory tasks require individuals to indicate whether they have encountered a stimulus (such as a picture or a word) before. Recall memory tasks require participants to retrieve previously learned information. For example, individuals might be asked to produce a series of actions they have seen before or to say a list of words they have heard before.

By information type

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Topographical memory involves the ability to orient oneself in space, to recognize and follow an itinerary, or to recognize familiar places.[53] Getting lost when traveling alone is an example of the failure of topographic memory.[54]

Flashbulb memories are clear episodic memories of unique and highly emotional events.[55] People remembering where they were or what they were doing when they first heard the news of President Kennedy's assassination in 1963 [56] the 9/11 or Sydney Siege are examples of flashbulb memories.

Long-term

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Anderson (1976)[57] divides long-term memory into declarative (explicit) and procedural (implicit) memories.

Declarative

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Declarative memory requires conscious recall, in that some conscious process must call back the information. It is sometimes called explicit memory, since it consists of information that is explicitly stored and retrieved. Declarative memory can be further sub-divided into semantic memory, concerning principles and facts taken independent of context; and episodic memory, concerning information specific to a particular context, such as a time and place. Semantic memory allows the encoding of abstract knowledge about the world, such as "Paris is the capital of France". Episodic memory, on the other hand, is used for more personal memories, such as the sensations, emotions, and personal associations of a particular place or time. Episodic memories often reflect the "firsts" in life such as a first kiss, first day of school or first time winning a championship. These are key events in one's life that can be remembered clearly.

Research suggests that declarative memory is supported by several functions of the medial temporal lobe system which includes the hippocampus.[58] Autobiographical memory – memory for particular events within one's own life – is generally viewed as either equivalent to, or a subset of, episodic memory. Visual memory is part of memory preserving some characteristics of our senses pertaining to visual experience. One is able to place in memory information that resembles objects, places, animals or people in sort of a mental image. Visual memory can result in priming and it is assumed some kind of perceptual representational system underlies this phenomenon.[58]

Procedural

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In contrast, procedural memory (or implicit memory) is not based on the conscious recall of information, but on implicit learning. It can best be summarized as remembering how to do something. Procedural memory is primarily used in learning motor skills and can be considered a subset of implicit memory. It is revealed when one does better in a given task due only to repetition – no new explicit memories have been formed, but one is unconsciously accessing aspects of those previous experiences. Procedural memory involved in motor learning depends on the cerebellum and basal ganglia.[59]

A characteristic of procedural memory is that the things remembered are automatically translated into actions, and thus sometimes difficult to describe. Some examples of procedural memory include the ability to ride a bike or tie shoelaces.[60]

By temporal direction

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Another major way to distinguish different memory functions is whether the content to be remembered is in the past, retrospective memory, or in the future, prospective memory. John Meacham introduced this distinction in a paper presented at the 1975 American Psychological Association annual meeting and subsequently included by Ulric Neisser in his 1982 edited volume, Memory Observed: Remembering in Natural Contexts.[61][62] Thus, retrospective memory as a category includes semantic, episodic and autobiographical memory. In contrast, prospective memory is memory for future intentions, or remembering to remember (Winograd, 1988). Prospective memory can be further broken down into event- and time-based prospective remembering. Time-based prospective memories are triggered by a time-cue, such as going to the doctor (action) at 4pm (cue). Event-based prospective memories are intentions triggered by cues, such as remembering to post a letter (action) after seeing a mailbox (cue). Cues do not need to be related to the action (as the mailbox/letter example), and lists, sticky-notes, knotted handkerchiefs, or string around the finger all exemplify cues that people use as strategies to enhance prospective memory.

Study techniques

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To assess infants

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Infants do not have the language ability to report on their memories and so verbal reports cannot be used to assess very young children's memory. Throughout the years, however, researchers have adapted and developed a number of measures for assessing both infants' recognition memory and their recall memory. Habituation and operant conditioning techniques have been used to assess infants' recognition memory and the deferred and elicited imitation techniques have been used to assess infants' recall memory.

Techniques used to assess infants' recognition memory include the following:

  • Visual paired comparison procedure (relies on habituation): infants are first presented with pairs of visual stimuli, such as two black-and-white photos of human faces, for a fixed amount of time; then, after being familiarized with the two photos, they are presented with the "familiar" photo and a new photo. The time spent looking at each photo is recorded. Looking longer at the new photo indicates that they remember the "familiar" one. Studies using this procedure have found that 5- to 6-month-olds can retain information for as long as fourteen days.[63]
  • Operant conditioning technique: infants are placed in a crib and a ribbon that is connected to a mobile overhead is tied to one of their feet. Infants notice that when they kick their foot the mobile moves – the rate of kicking increases dramatically within minutes. Studies using this technique have revealed that infants' memory substantially improves over the first 18-months. Whereas 2- to 3-month-olds can retain an operant response (such as activating the mobile by kicking their foot) for a week, 6-month-olds can retain it for two weeks, and 18-month-olds can retain a similar operant response for as long as 13 weeks.[64][65][66]

Techniques used to assess infants' recall memory include the following:

  • Deferred imitation technique: an experimenter shows infants a unique sequence of actions (such as using a stick to push a button on a box) and then, after a delay, asks the infants to imitate the actions. Studies using deferred imitation have shown that 14-month-olds' memories for the sequence of actions can last for as long as four months.[67]
  • Elicited imitation technique: is very similar to the deferred imitation technique; the difference is that infants are allowed to imitate the actions before the delay. Studies using the elicited imitation technique have shown that 20-month-olds can recall the action sequences twelve months later.[68][69]

To assess children and older adults

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Researchers use a variety of tasks to assess older children and adults' memory. Some examples are:

  • Paired associate learning – when one learns to associate one specific word with another. For example, when given a word such as "safe" one must learn to say another specific word, such as "green". This is stimulus and response.[70][71]
  • Free recall – during this task a subject would be asked to study a list of words and then later they will be asked to recall or write down as many words that they can remember, similar to free response questions.[72] Earlier items are affected by retroactive interference (RI), which means the longer the list, the greater the interference, and the less likelihood that they are recalled. On the other hand, items that have been presented lastly suffer little RI, but suffer a great deal from proactive interference (PI), which means the longer the delay in recall, the more likely that the items will be lost.[73]
  • Cued recall – one is given a significant hints to help retrieve information that has been previously encoded into the person's memory; typically this can involve a word relating to the information being asked to remember.[74] This is similar to fill in the blank assessments used in classrooms.
  • Recognition – subjects are asked to remember a list of words or pictures, after which point they are asked to identify the previously presented words or pictures from among a list of alternatives that were not presented in the original list.[75] This is similar to multiple choice assessments.
  • Detection paradigm – individuals are shown a number of objects and color samples during a certain period of time. They are then tested on their visual ability to remember as much as they can by looking at testers and pointing out whether the testers are similar to the sample, or if any change is present.
  • Savings method – compares the speed of originally learning to the speed of relearning it. The amount of time saved measures memory.[76]
  • Implicit-memory tasks – information is drawn from memory without conscious realization.

Failures

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The garden of oblivion, illustration by Ephraim Moses Lilien
  • Transience – memories degrade with the passing of time. This occurs in the storage stage of memory, after the information has been stored and before it is retrieved. This can happen in sensory, short-term, and long-term storage. It follows a general pattern where the information is rapidly forgotten during the first couple of days or years, followed by small losses in later days or years.
  • Absent-mindedness – Memory failure due to the lack of attention. Attention plays a key role in storing information into long-term memory; without proper attention, the information might not be stored, making it impossible to be retrieved later.

Physiology

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Brain areas involved in the neuroanatomy of memory such as the hippocampus, the amygdala, the striatum, or the mammillary bodies are thought to be involved in specific types of memory. For example, the hippocampus is believed to be involved in spatial learning and declarative learning, while the amygdala is thought to be involved in emotional memory.[77]

Damage to certain areas in patients and animal models and subsequent memory deficits is a primary source of information. However, rather than implicating a specific area, it could be that damage to adjacent areas, or to a pathway traveling through the area is actually responsible for the observed deficit. Further, it is not sufficient to describe memory, and its counterpart, learning, as solely dependent on specific brain regions. Learning and memory are usually attributed to changes in neuronal synapses, thought to be mediated by long-term potentiation and long-term depression.

In general, the more emotionally charged an event or experience is, the better it is remembered; this phenomenon is known as the memory enhancement effect. Patients with amygdala damage, however, do not show a memory enhancement effect.[78][79]

Hebb distinguished between short-term and long-term memory. He postulated that any memory that stayed in short-term storage for a long enough time would be consolidated into a long-term memory. Later research showed this to be false. Research has shown that direct injections of cortisol or epinephrine help the storage of recent experiences. This is also true for stimulation of the amygdala. This proves that excitement enhances memory by the stimulation of hormones that affect the amygdala. Excessive or prolonged stress (with prolonged cortisol) may hurt memory storage. Patients with amygdalar damage are no more likely to remember emotionally charged words than nonemotionally charged ones. The hippocampus is important for explicit memory. The hippocampus is also important for memory consolidation. The hippocampus receives input from different parts of the cortex and sends its output out to different parts of the brain also. The input comes from secondary and tertiary sensory areas that have processed the information a lot already. Hippocampal damage may also cause memory loss and problems with memory storage.[80] This memory loss includes retrograde amnesia which is the loss of memory for events that occurred shortly before the time of brain damage.[76]

Cognitive neuroscience

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Cognitive neuroscientists consider memory as the retention, reactivation, and reconstruction of the experience-independent internal representation. The term of internal representation implies that such a definition of memory contains two components: the expression of memory at the behavioral or conscious level, and the underpinning physical neural changes (Dudai 2007). The latter component is also called engram or memory traces (Semon 1904). Some neuroscientists and psychologists mistakenly equate the concept of engram and memory, broadly conceiving all persisting after-effects of experiences as memory; others argue against this notion that memory does not exist until it is revealed in behavior or thought (Moscovitch 2007).

APP and LTP in Alzheimer disease

One question that is crucial in cognitive neuroscience is how information and mental experiences are coded and represented in the brain. Scientists have gained much knowledge about the neuronal codes from the studies of plasticity, but most of such research has been focused on simple learning in simple neuronal circuits; it is considerably less clear about the neuronal changes involved in more complex examples of memory, particularly declarative memory that requires the storage of facts and events (Byrne 2007). Convergence-divergence zones might be the neural networks where memories are stored and retrieved. Considering that there are several kinds of memory, depending on types of represented knowledge, underlying mechanisms, processes functions and modes of acquisition, it is likely that different brain areas support different memory systems and that they are in mutual relationships in neuronal networks: "components of memory representation are distributed widely across different parts of the brain as mediated by multiple neocortical circuits".[81]

  • Encoding. Encoding of working memory involves the spiking of individual neurons induced by sensory input, which persists even after the sensory input disappears (Jensen and Lisman 2005; Fransen et al. 2002). Encoding of episodic memory involves persistent changes in molecular structures that alter synaptic transmission between neurons. Examples of such structural changes include long-term potentiation (LTP) or spike-timing-dependent plasticity (STDP). The persistent spiking in working memory can enhance the synaptic and cellular changes in the encoding of episodic memory (Jensen and Lisman 2005).
  • Working memory. Recent functional imaging studies detected working memory signals in both medial temporal lobe (MTL), a brain area strongly associated with long-term memory, and prefrontal cortex (Ranganath et al. 2005), suggesting a strong relationship between working memory and long-term memory. However, the substantially more working memory signals seen in the prefrontal lobe suggest that this area plays a more important role in working memory than MTL (Suzuki 2007).
  • Consolidation and reconsolidation. Short-term memory (STM) is temporary and subject to disruption, while long-term memory (LTM), once consolidated, is persistent and stable. Consolidation of STM into LTM at the molecular level presumably involves two processes: synaptic consolidation and system consolidation. The former involves a protein synthesis process in the medial temporal lobe (MTL), whereas the latter transforms the MTL-dependent memory into an MTL-independent memory over months to years (Ledoux 2007). In recent years, such traditional consolidation dogma has been re-evaluated as a result of the studies on reconsolidation. These studies showed that prevention after retrieval affects subsequent retrieval of the memory (Sara 2000). New studies have shown that post-retrieval treatment with protein synthesis inhibitors and many other compounds can lead to an amnestic state (Nadel et al. 2000b; Alberini 2005; Dudai 2006). These findings on reconsolidation fit with the behavioral evidence that retrieved memory is not a carbon copy of the initial experiences, and memories are updated during retrieval.

Genetics

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APP and LTP in Alzheimer disease.png

Study of the genetics of human memory is in its infancy though many genes have been investigated for their association to memory in humans and non-human animals. A notable initial success was the association of APOE with memory dysfunction in Alzheimer's disease. The search for genes associated with normally varying memory continues. One of the first candidates for normal variation in memory is the protein KIBRA,[82][medical citation needed] which appears to be associated with the rate at which material is forgotten over a delay period. There has been some evidence that memories are stored in the nucleus of neurons.[83][84]

Genetic underpinnings

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Several genes, proteins and enzymes have been extensively researched for their association with memory. Long-term memory, unlike short-term memory, is dependent upon the synthesis of new proteins.[85] This occurs within the cellular body, and concerns the particular transmitters, receptors, and new synapse pathways that reinforce the communicative strength between neurons. The production of new proteins devoted to synapse reinforcement is triggered after the release of certain signaling substances (such as calcium within hippocampal neurons) in the cell. In the case of hippocampal cells, this release is dependent upon the expulsion of magnesium (a binding molecule) that is expelled after significant and repetitive synaptic signaling. The temporary expulsion of magnesium frees NMDA receptors to release calcium in the cell, a signal that leads to gene transcription and the construction of reinforcing proteins.[86] For more information, see long-term potentiation (LTP).

One of the newly synthesized proteins in LTP is also critical for maintaining long-term memory. This protein is an autonomously active form of the enzyme protein kinase C (PKC), known as PKMζ. PKMζ maintains the activity-dependent enhancement of synaptic strength and inhibiting PKMζ erases established long-term memories, without affecting short-term memory or, once the inhibitor is eliminated, the ability to encode and store new long-term memories is restored. Also, BDNF is important for the persistence of long-term memories.[87]

The long-term stabilization of synaptic changes is also determined by a parallel increase of pre- and postsynaptic structures such as axonal bouton, dendritic spine and postsynaptic density.[88] On the molecular level, an increase of the postsynaptic scaffolding proteins PSD-95 and HOMER1c has been shown to correlate with the stabilization of synaptic enlargement.[88] The cAMP response element-binding protein (CREB) is a transcription factor which is believed to be important in consolidating short-term to long-term memories, and which is believed to be downregulated in Alzheimer's disease.[89]

DNA methylation and demethylation

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DNA methylation and demethylation molecular mechanisms

Rats exposed to an intense learning event may retain a life-long memory of the event, even after a single training session. The long-term memory of such an event appears to be initially stored in the hippocampus, but this storage is transient. Much of the long-term storage of the memory seems to take place in the anterior cingulate cortex.[90] When such an exposure was experimentally applied, more than 5,000 differently methylated DNA regions appeared in the hippocampus neuronal genome of the rats at one and at 24 hours after training.[91] These alterations in methylation pattern occurred at many genes that were downregulated, often due to the formation of new 5-methylcytosine sites in CpG rich regions of the genome. Furthermore, many other genes were upregulated, likely often due to hypomethylation. Hypomethylation often results from the removal of methyl groups from previously existing 5-methylcytosines in DNA. Demethylation is carried out by several proteins acting in concert, including the TET enzymes as well as enzymes of the DNA base excision repair pathway (see Epigenetics in learning and memory). The pattern of induced and repressed genes in brain neurons subsequent to an intense learning event likely provides the molecular basis for a long-term memory of the event.

Epigenetics

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Studies of the molecular basis for memory formation indicate that epigenetic mechanisms operating in neurons in the brain play a central role in determining this capability. Key epigenetic mechanisms involved in memory include the methylation and demethylation of neuronal DNA, as well as modifications of histone proteins including methylations, acetylations and deacetylations.

Stimulation of brain activity in memory formation is often accompanied by the generation of damage in neuronal DNA that is followed by repair associated with persistent epigenetic alterations. In particular the DNA repair processes of non-homologous end joining and base excision repair are employed in memory formation.[92]

DNA topoisomerase 2-beta in learning and memory

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During a new learning experience, a set of genes is rapidly expressed in the brain. This induced gene expression is considered to be essential for processing the information being learned. Such genes are referred to as immediate early genes (IEGs). DNA topoisomerase 2-beta (TOP2B) activity is essential for the expression of IEGs in a type of learning experience in mice termed associative fear memory.[93] Such a learning experience appears to rapidly trigger TOP2B to induce double-strand breaks in the promoter DNA of IEG genes that function in neuroplasticity. Repair of these induced breaks is associated with DNA demethylation of IEG gene promoters allowing immediate expression of these IEG genes.[93]

Regulatory sequence in a promoter at a transcription start site with a paused RNA polymerase and a TOP2B-induced double-strand break

The double-strand breaks that are induced during a learning experience are not immediately repaired. About 600 regulatory sequences in promoters and about 800 regulatory sequences in enhancers appear to depend on double strand breaks initiated by topoisomerase 2-beta (TOP2B) for activation.[94][95] The induction of particular double-strand breaks are specific with respect to their inducing signal. When neurons are activated in vitro, just 22 of TOP2B-induced double-strand breaks occur in their genomes.[96]

Such TOP2B-induced double-strand breaks are accompanied by at least four enzymes of the non-homologous end joining (NHEJ) DNA repair pathway (DNA-PKcs, KU70, KU80, and DNA LIGASE IV) (see Figure). These enzymes repair the double-strand breaks within about 15 minutes to two hours.[96][97] The double-strand breaks in the promoter are thus associated with TOP2B and at least these four repair enzymes. These proteins are present simultaneously on a single promoter nucleosome (there are about 147 nucleotides in the DNA sequence wrapped around a single nucleosome) located near the transcription start site of their target gene.[97]

Brain regions involved in memory formation including medial prefrontal cortex (mPFC)

The double-strand break introduced by TOP2B apparently frees the part of the promoter at an RNA polymerase-bound transcription start site to physically move to its associated enhancer (see regulatory sequence). This allows the enhancer, with its bound transcription factors and mediator proteins, to directly interact with the RNA polymerase paused at the transcription start site to start transcription.[96][98]

Contextual fear conditioning in the mouse causes the mouse to have a long-term memory and fear of the location in which it occurred. Contextual fear conditioning causes hundreds of DSBs in mouse brain medial prefrontal cortex (mPFC) and hippocampus neurons (see Figure: Brain regions involved in memory formation). These DSBs predominately activate genes involved in synaptic processes, that are important for learning and memory.[99]

In infancy

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Up until the mid-1980s it was assumed that infants could not encode, retain, and retrieve information.[100] A growing body of research now indicates that infants as young as 6-months can recall information after a 24-hour delay.[101] Furthermore, research has revealed that as infants grow older they can store information for longer periods of time; 6-month-olds can recall information after a 24-hour period, 9-month-olds after up to five weeks, and 20-month-olds after as long as twelve months.[102] In addition, studies have shown that with age, infants can store information faster. Whereas 14-month-olds can recall a three-step sequence after being exposed to it once, 6-month-olds need approximately six exposures in order to be able to remember it.[67][101]

Although 6-month-olds can recall information over the short-term, they have difficulty recalling the temporal order of information. It is only by 9 months of age that infants can recall the actions of a two-step sequence in the correct temporal order – that is, recalling step 1 and then step 2.[103][104] In other words, when asked to imitate a two-step action sequence (such as putting a toy car in the base and pushing in the plunger to make the toy roll to the other end), 9-month-olds tend to imitate the actions of the sequence in the correct order (step 1 and then step 2). Younger infants (6-month-olds) can only recall one step of a two-step sequence.[101] Researchers have suggested that these age differences are probably due to the fact that the dentate gyrus of the hippocampus and the frontal components of the neural network are not fully developed at the age of 6-months.[68][105][106]

In fact, the term 'infantile amnesia' refers to the phenomenon of accelerated forgetting during infancy. Importantly, infantile amnesia is not unique to humans, and preclinical research (using rodent models) provides insight into the precise neurobiology of this phenomenon. A review of the literature from behavioral neuroscientist Jee Hyun Kim suggests that accelerated forgetting during early life is at least partly due to rapid growth of the brain during this period.[107]

Aging

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One of the key concerns of older adults is the experience of memory loss, especially as it is one of the hallmark symptoms of Alzheimer's disease. However, memory loss is qualitatively different in normal aging from the kind of memory loss associated with a diagnosis of Alzheimer's (Budson & Price, 2005). Research has revealed that individuals' performance on memory tasks that rely on frontal regions declines with age. Older adults tend to exhibit deficits on tasks that involve knowing the temporal order in which they learned information,[108] source memory tasks that require them to remember the specific circumstances or context in which they learned information,[109] and prospective memory tasks that involve remembering to perform an act at a future time. Older adults can manage their problems with prospective memory by using appointment books, for example.

Gene transcription profiles were determined for the human frontal cortex of individuals from age 26 to 106 years. Numerous genes were identified with reduced expression after age 40, and especially after age 70.[110] Genes that play central roles in memory and learning were among those showing the most significant reduction with age. There was also a marked increase in DNA damage, likely oxidative damage, in the promoters of those genes with reduced expression. It was suggested that DNA damage may reduce the expression of selectively vulnerable genes involved in memory and learning.[110]

Disorders

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Much of the current knowledge of memory has come from studying memory disorders, particularly loss of memory, known as amnesia. Amnesia can result from extensive damage to: (a) the regions of the medial temporal lobe, such as the hippocampus, dentate gyrus, subiculum, amygdala, the parahippocampal, entorhinal, and perirhinal cortices[111] or the (b) midline diencephalic region, specifically the dorsomedial nucleus of the thalamus and the mammillary bodies of the hypothalamus.[112] There are many sorts of amnesia, and by studying their different forms, it has become possible to observe apparent defects in individual sub-systems of the brain's memory systems, and thus hypothesize their function in the normally working brain. Other neurological disorders such as Alzheimer's disease and Parkinson's disease[113][114] can also affect memory and cognition.[115] Hyperthymesia, or hyperthymesic syndrome, is a disorder that affects an individual's autobiographical memory, essentially meaning that they cannot forget small details that otherwise would not be stored.[116][117][118] Korsakoff's syndrome, also known as Korsakoff's psychosis, amnesic-confabulatory syndrome, is an organic brain disease that adversely affects memory by widespread loss or shrinkage of neurons within the prefrontal cortex.[76]

While not a disorder, a common temporary failure of word retrieval from memory is the tip-of-the-tongue phenomenon. Those with anomic aphasia (also called nominal aphasia or Anomia), however, do experience the tip-of-the-tongue phenomenon on an ongoing basis due to damage to the frontal and parietal lobes of the brain.

Memory dysfunction can also occur after viral infections.[119] Many patients recovering from COVID-19 experience memory lapses. Other viruses can also elicit memory dysfunction, including SARS-CoV-1, MERS-CoV, Ebola virus and even influenza virus.[119][120]

Influencing factors

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Interference

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Interference can hamper memorization and retrieval. There is retroactive interference, when learning new information makes it harder to recall old information[121] and proactive interference, where prior learning disrupts recall of new information. Although interference can lead to forgetting, it is important to keep in mind that there are situations when old information can facilitate learning of new information. Knowing Latin, for instance, can help an individual learn a related language such as French – this phenomenon is known as positive transfer.[122]

Stress

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Stress has a significant effect on memory formation and learning. In response to stressful situations, the brain releases hormones and neurotransmitters (ex. glucocorticoids and catecholamines) which affect memory encoding processes in the hippocampus. Behavioural research on animals shows that chronic stress produces adrenal hormones which impact the hippocampal structure in the brains of rats.[123] An experimental study by German cognitive psychologists L. Schwabe and O. Wolf demonstrates how learning under stress also decreases memory recall in humans.[124] In this study, 48 healthy female and male university students participated in either a stress test or a control group. Those randomly assigned to the stress test group had a hand immersed in ice cold water (the reputable SECPT or 'Socially Evaluated Cold Pressor Test') for up to three minutes, while being monitored and videotaped. Both the stress and control groups were then presented with 32 words to memorize. Twenty-four hours later, both groups were tested to see how many words they could remember (free recall) as well as how many they could recognize from a larger list of words (recognition performance). The results showed a clear impairment of memory performance in the stress test group, who recalled 30% fewer words than the control group. The researchers suggest that stress experienced during learning distracts people by diverting their attention during the memory encoding process.

However, memory performance can be enhanced when material is linked to the learning context, even when learning occurs under stress. A separate study by cognitive psychologists Schwabe and Wolf shows that when retention testing is done in a context similar to or congruent with the original learning task (i.e., in the same room), memory impairment and the detrimental effects of stress on learning can be attenuated.[125] Seventy-two healthy female and male university students, randomly assigned to the SECPT stress test or to a control group, were asked to remember the locations of 15 pairs of picture cards – a computerized version of the card game "Concentration" or "Memory". The room in which the experiment took place was infused with the scent of vanilla, as odour is a strong cue for memory. Retention testing took place the following day, either in the same room with the vanilla scent again present, or in a different room without the fragrance. The memory performance of subjects who experienced stress during the object-location task decreased significantly when they were tested in an unfamiliar room without the vanilla scent (an incongruent context); however, the memory performance of stressed subjects showed no impairment when they were tested in the original room with the vanilla scent (a congruent context). All participants in the experiment, both stressed and unstressed, performed faster when the learning and retrieval contexts were similar.[126]

This research on the effects of stress on memory may have practical implications for education, for eyewitness testimony and for psychotherapy: students may perform better when tested in their regular classroom rather than an exam room, eyewitnesses may recall details better at the scene of an event than in a courtroom, and persons with post-traumatic stress may improve when helped to situate their memories of a traumatic event in an appropriate context.

Stressful life experiences may be a cause of memory loss as a person ages. Glucocorticoids that are released during stress cause damage to neurons that are located in the hippocampal region of the brain. Therefore, the more stressful situations that someone encounters, the more susceptible they are to memory loss later on. The CA1 neurons found in the hippocampus are destroyed due to glucocorticoids decreasing the release of glucose and the reuptake of glutamate. This high level of extracellular glutamate allows calcium to enter NMDA receptors which in return kills neurons. Stressful life experiences can also cause repression of memories where a person moves an unbearable memory to the unconscious mind.[76] This directly relates to traumatic events in one's past such as kidnappings, being prisoners of war or sexual abuse as a child.

The more long term the exposure to stress is, the more impact it may have. However, short term exposure to stress also causes impairment in memory by interfering with the function of the hippocampus. Research shows that subjects placed in a stressful situation for a short amount of time still have blood glucocorticoid levels that have increased drastically when measured after the exposure is completed. When subjects are asked to complete a learning task after short term exposure they often have difficulties. Prenatal stress also hinders the ability to learn and memorize by disrupting the development of the hippocampus and can lead to unestablished long term potentiation in the offspring of severely stressed parents. Although the stress is applied prenatally, the offspring show increased levels of glucocorticoids when they are subjected to stress later on in life.[127] One explanation for why children from lower socioeconomic backgrounds tend to display poorer memory performance than their higher-income peers is the effects of stress accumulated over the course of the lifetime.[128] The effects of low income on the developing hippocampus is also thought be mediated by chronic stress responses which may explain why children from lower and higher-income backgrounds differ in terms of memory performance.[128]

Sleep

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Making memories occurs through a three-step process, which can be enhanced by sleep. The three steps are as follows:

  1. Acquisition which is the process of storage and retrieval of new information in memory
  2. Consolidation
  3. Recall

Sleep affects memory consolidation. During sleep, the neural connections in the brain are strengthened. This enhances the brain's abilities to stabilize and retain memories. There have been several studies which show that sleep improves the retention of memory, as memories are enhanced through active consolidation. System consolidation takes place during slow-wave sleep (SWS).[129][130] This process implicates that memories are reactivated during sleep, but that the process does not enhance every memory. It also implicates that qualitative changes are made to the memories when they are transferred to long-term store during sleep. During sleep, the hippocampus replays the events of the day for the neocortex. The neocortex then reviews and processes memories, which moves them into long-term memory. When one does not get enough sleep it makes it more difficult to learn as these neural connections are not as strong, resulting in a lower retention rate of memories. Sleep deprivation makes it harder to focus, resulting in inefficient learning.[129] Furthermore, some studies have shown that sleep deprivation can lead to false memories as the memories are not properly transferred to long-term memory. One of the primary functions of sleep is thought to be the improvement of the consolidation of information, as several studies have demonstrated that memory depends on getting sufficient sleep between training and test.[131] Additionally, data obtained from neuroimaging studies have shown activation patterns in the sleeping brain that mirror those recorded during the learning of tasks from the previous day,[131] suggesting that new memories may be solidified through such rehearsal.[132]

Construction for general manipulation

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Although people often think that memory operates like recording equipment, this is not the case. The molecular mechanisms underlying the induction and maintenance of memory are very dynamic and comprise distinct phases covering a time window from seconds to even a lifetime.[133] In fact, research has revealed that our memories are constructed: "current hypotheses suggest that constructive processes allow individuals to simulate and imagine future episodes,[134] happenings, and scenarios. Since the future is not an exact repetition of the past, simulation of future episodes requires a complex system that can draw on the past in a manner that flexibly extracts and recombines elements of previous experiences – a constructive rather than a reproductive system."[81] People can construct their memories when they encode them and/or when they recall them. To illustrate, consider a classic study conducted by Elizabeth Loftus and John Palmer (1974)[135] in which people were instructed to watch a film of a traffic accident and then asked about what they saw. The researchers found that the people who were asked, "How fast were the cars going when they smashed into each other?" gave higher estimates than those who were asked, "How fast were the cars going when they hit each other?" Furthermore, when asked a week later whether they had seen broken glass in the film, those who had been asked the question with smashed were twice more likely to report that they had seen broken glass than those who had been asked the question with hit (there was no broken glass depicted in the film). Thus, the wording of the questions distorted viewers' memories of the event. Importantly, the wording of the question led people to construct different memories of the event – those who were asked the question with smashed recalled a more serious car accident than they had actually seen. The findings of this experiment were replicated around the world, and researchers consistently demonstrated that when people were provided with misleading information they tended to misremember, a phenomenon known as the misinformation effect.[136]

Research has revealed that asking individuals to repeatedly imagine actions that they have never performed or events that they have never experienced could result in false memories. For instance, Goff and Roediger[137] (1998) asked participants to imagine that they performed an act (e.g., break a toothpick) and then later asked them whether they had done such a thing. Findings revealed that those participants who repeatedly imagined performing such an act were more likely to think that they had actually performed that act during the first session of the experiment. Similarly, Garry and her colleagues (1996)[138] asked college students to report how certain they were that they experienced a number of events as children (e.g., broke a window with their hand) and then two weeks later asked them to imagine four of those events. The researchers found that one-fourth of the students asked to imagine the four events reported that they had actually experienced such events as children. That is, when asked to imagine the events they were more confident that they experienced the events.

Research reported in 2013 revealed that it is possible to artificially stimulate prior memories and artificially implant false memories in mice. Using optogenetics, a team of RIKEN-MIT scientists caused the mice to incorrectly associate a benign environment with a prior unpleasant experience from different surroundings. Some scientists believe that the study may have implications in studying false memory formation in humans, and in treating PTSD and schizophrenia.[139][140][medical citation needed]

Memory reconsolidation is when previously consolidated memories are recalled or retrieved from long-term memory to your active consciousness. During this process, memories can be further strengthened and added to but there is also risk of manipulation involved. We like to think of our memories as something stable and constant when they are stored in long-term memory but this is not the case. There are a large number of studies that found that consolidation of memories is not a singular event but are put through the process again, known as reconsolidation.[141] This is when a memory is recalled or retrieved and placed back into your working memory. The memory is now open to manipulation from outside sources and the misinformation effect which could be due to misattributing the source of the inconsistent information, with or without an intact original memory trace.[142][143] One thing that can be sure is that memory is malleable.

This new research into the concept of reconsolidation has opened the door to methods to help those with unpleasant memories or those that struggle with memories. An example of this is if you had a truly frightening experience and recall that memory in a less arousing environment, the memory will be weaken the next time it is retrieved.[141] "Some studies suggest that over-trained or strongly reinforced memories do not undergo reconsolidation if reactivated the first few days after training, but do become sensitive to reconsolidation interference with time."[141] This, however does not mean that all memory is susceptible to reconsolidation. There is evidence to suggest that memory that has undergone strong training and whether or not is it intentional is less likely to undergo reconsolidation.[144] There was further testing done with rats and mazes that showed that reactivated memories were more susceptible to manipulation, in both good and bad ways, than newly formed memories.[145] It is still not known whether or not these are new memories formed and it is an inability to retrieve the proper one for the situation or if it is a reconsolidated memory. Because the study of reconsolidation is still a newer concept, there is still debate on whether it should be considered scientifically sound.

Improving

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A UCLA research study published in the June 2008 issue of the American Journal of Geriatric Psychiatry found that people can improve cognitive function and brain efficiency through simple lifestyle changes such as incorporating memory exercises, healthy eating, physical fitness and stress reduction into their daily lives. This study examined 17 subjects, (average age 53) with normal memory performance. Eight subjects were asked to follow a "brain healthy" diet, relaxation, physical, and mental exercise (brain teasers and verbal memory training techniques). After 14 days, they showed greater word fluency (not memory) compared to their baseline performance. No long-term follow-up was conducted; it is therefore unclear if this intervention has lasting effects on memory.[146]

Exercise, even at light intensity, significantly improves memory across all age groups, with the greatest benefits observed in children and adolescents. Even low- to moderate-intensity exercise and shorter interventions (1–3 months) can produce meaningful cognitive improvements.[147]

There are a loosely associated group of mnemonic principles and techniques that can be used to vastly improve memory known as the art of memory.

The International Longevity Center released in 2001 a report[148] which includes in pages 14–16 recommendations for keeping the mind in good functionality until advanced age. Some of the recommendations are:

  • to stay intellectually active through learning, training or reading
  • to keep physically active so to promote blood circulation to the brain
  • to socialize
  • to reduce stress
  • to keep sleep time regular
  • to avoid depression or emotional instability
  • to observe good nutrition.

Memorization is a method of learning that allows an individual to recall information verbatim. Rote learning is the method most often used. Methods of memorizing things have been the subject of much discussion over the years with some writers, such as Cosmos Rossellius using visual alphabets. The spacing effect shows that an individual is more likely to remember a list of items when rehearsal is spaced over an extended period of time. In contrast to this is cramming: an intensive memorization in a short period of time. The spacing effect is exploited to improve memory in spaced repetition flashcard training. Also relevant is the Zeigarnik effect, which states that people remember uncompleted or interrupted tasks better than completed ones. The so-called Method of loci uses spatial memory to memorize non-spatial information.[149]

Sex differences

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Research on sex differences in episodic memory has produced mixed findings. A recent meta-analysis revealed a small overall female advantage, with task-specific variations. Women outperformed men on cued recall and free recall, while men showed an advantage in complex span tasks. No sex differences were observed in serial recall or simple span tasks. Factors such as recall direction, stimulus type, presentation format, response format, and age accounted for variance in results. Importantly, no publication bias was detected, although effect sizes varied by sample source and study reporting. Neuroimaging studies using activation likelihood estimation (ALE) indicated male > female activity in the lateral prefrontal cortex, visual regions, parahippocampal cortex, and cerebellum during long-term memory retrieval.[150] These findings suggest meaningful sex differences in both behavior and brain function, highlighting the need for cautious interpretation and further controlled research.[151]

In plants

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Plants lack a specialized organ devoted to memory retention, so plant memory has been a controversial topic in recent years. New advances in the field have identified the presence of neurotransmitters in plants, adding to the hypothesis that plants are capable of remembering.[152] Action potentials, a physiological response characteristic of neurons, have been shown to have an influence on plants as well, including in wound responses and photosynthesis.[152] In addition to these homologous features of memory systems in both plants and animals, plants have also been observed to encode, store and retrieve basic short-term memories.

One of the most well-studied plants to show rudimentary memory is the Venus flytrap. Native to the subtropical wetlands of the eastern United States, Venus flytraps have evolved the ability to obtain meat for sustenance, likely due to the lack of nitrogen in the soil.[153] This is done by two trap-forming leaf tips that snap shut once triggered by a potential prey. On each lobe, three trigger hairs await stimulation. In order to maximize the benefit-to-cost ratio, the plant enables a rudimentary form of memory in which two trigger hairs must be stimulated within thirty seconds in order to result in trap closure.[153] This system ensures that the trap only closes when potential prey is within grasp.

The time lapse between trigger hair stimulations suggests that the plant can remember an initial stimulus long enough for a second stimulus to initiate trap closure. This memory is not encoded in a brain, as plants lack this specialized organ. Rather, information is stored in the form of cytoplasmic calcium levels. The first trigger causes a subthreshold cytoplasmic calcium influx.[153] This initial trigger is not enough to activate trap closure, so a subsequent stimulus allows for a secondary influx of calcium. The latter calcium rise superimposes on the initial one, creating an action potential that passes threshold, resulting in trap closure.[153] Researchers, to prove that an electrical threshold must be met to stimulate trap closure, excited a single trigger hair with a constant mechanical stimulus using Ag/AgCl electrodes.[154] The trap closed after only a few seconds. This experiment demonstrated that the electrical threshold, not necessarily the number of trigger hair stimulations, was the contributing factor in Venus flytrap memory.

It has been shown that trap closure can be blocked using uncouplers and inhibitors of voltage-gated channels.[154] After trap closure, these electrical signals stimulate glandular production of jasmonic acid and hydrolases, allowing for digestion of prey.[155]

Many other plants exhibit the capacity to remember, including Mimosa pudica.[156] An experimental apparatus was designed to drop potted mimosa plants repeatedly from the same distance and at the same speed. It was observed that the plants' defensive response of curling up their leaves decreased over the sixty times the experiment was repeated. To confirm that this was a mechanism of memory rather than exhaustion, some of the plants were shaken post experiment and displayed normal defensive responses of leaf curling. This experiment demonstrated long-term memory in the plants, as it was repeated a month later, and the plants were observed to remain unfazed by the dropping.[156]

See also

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Notes

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Memory is the cognitive faculty by which the encodes, stores, and retrieves , enabling organisms to learn from past experiences, adapt to new situations, and form a sense of . This process is fundamental to survival, as it allows individuals to remember threats, resources, and social bonds, while also supporting higher functions like , , and . In humans, memory operates through interconnected neural networks that transform sensory inputs into lasting representations, with disruptions leading to conditions like or . Human memory is typically categorized into several types based on duration, content, and conscious accessibility. Sensory memory briefly holds raw perceptual data from the environment, lasting mere milliseconds to seconds, before most information decays. Short-term or maintains a limited amount of information—typically 7±2 items—for about 15-30 seconds, facilitating tasks like mental arithmetic or , and relies on active to persist. , in contrast, stores information indefinitely and is divided into explicit (declarative) memory, which involves conscious recall of facts () and personal events (), and implicit (non-declarative) memory, encompassing unconscious skills like riding a () or conditioned responses. These distinctions highlight memory's multifaceted nature, with explicit forms supporting narrative self-awareness and implicit forms enabling automatic behaviors essential for efficiency. The neural underpinnings of memory involve specialized brain regions that coordinate across stages of encoding, consolidation, and retrieval. The hippocampus, located in the medial , plays a critical role in forming and consolidating explicit memories, particularly episodic ones, by binding contextual details into coherent traces. The modulates emotional memories, enhancing retention of significant events like fear responses through interactions with the hippocampus. Working memory engages the for executive control and temporary storage, while the and support procedural learning by refining motor sequences over repeated practice. These structures form distributed circuits, with —such as —serving as the cellular basis for strengthening memory engrams. Disruptions in these networks, as seen in , underscore memory's vulnerability and the ongoing research into neuroprotective mechanisms.

Stages of Memory

Sensory Memory

is the earliest stage of memory processing, involving the fleeting retention of raw sensory input immediately following . It functions as a high-capacity buffer that preserves unprocessed information from the environment for a brief duration, typically milliseconds to several seconds, before it either decays or is transferred to subsequent memory stages via selective . This modality-specific system ensures that only pertinent stimuli are further elaborated, preventing . In the multi-store model of memory, is characterized by its vast storage potential—far exceeding that of later stages—but its susceptibility to rapid dissipation if unattended. The primary subtypes of sensory memory correspond to specific sensory modalities, each with distinct durations and capacities. Iconic memory, dedicated to visual stimuli, holds images for approximately 250–500 milliseconds, allowing for the integration of fleeting visual scenes. Its existence and properties were established through George Sperling's seminal partial report experiments, in which participants briefly viewed a 3x4 array of 12 letters followed by an auditory cue indicating which row to recall; immediate cues yielded near-perfect recall of about 9–12 items, but performance dropped sharply with delays of 200–1,000 milliseconds, illustrating the store's large initial capacity and exponential decay. Echoic memory processes auditory information, retaining it for 3–4 seconds to facilitate the comprehension of overlapping speech sounds. This duration supports the temporal bridging of acoustic inputs, as demonstrated in an auditory adaptation of Sperling's partial task by Darwin, Turvey, and Crowder; participants heard three simultaneous dichotic streams of spoken digits and received a spatial cue to report from one , achieving high accuracy for up to four items when cued promptly, with decay evident after 200–400 milliseconds interstimulus intervals. Haptic memory, associated with tactile sensations, briefly stores touch-based data for roughly 1 second, enabling precise motor adjustments during . As a preattentive mechanism, filters vast incoming data, with attended portions advancing to for active rehearsal and encoding.

Short-Term Memory

Short-term memory (STM) functions as a temporary active workspace that holds a limited amount of information for immediate use following sensory input. Without active , this information typically persists for 15 to 30 seconds before decaying. A seminal characterization of its capacity comes from George A. Miller's analysis, which identified a limit of approximately 7 ± 2 items—often termed "Miller's magic number"—based on spans across various psychological tasks like absolute judgments and immediate recall. This constraint underscores STM's role in bridging fleeting sensory impressions to more enduring storage, enabling brief retention for cognitive operations. Maintenance of information in STM relies on mechanisms, particularly the phonological loop, which supports the temporary storage and subvocal repetition of verbal material to counteract decay. For instance, silently repeating a sequence prevents rapid by refreshing the memory trace. Although STM and are sometimes conflated, STM primarily involves passive storage of recently perceived items, in contrast to working memory's emphasis on active manipulation and integration with other cognitive processes. The transient nature of STM was vividly illustrated in a key 1959 experiment by Lloyd R. Peterson and Margaret Jean Peterson, where participants studied consonant trigrams (e.g., "XYZ") and then performed a distracting task like counting backward in threes for intervals up to 18 seconds before recall. Recall accuracy plummeted from about 80% at 3 seconds to near 0% at 18 seconds, demonstrating rapid decay due to interference and the absence of . This finding highlighted STM's vulnerability to disruption and its limited duration without maintenance. In daily life, STM facilitates practical tasks requiring momentary retention, such as remembering a number while dialing or following multi-step instructions during . Such applications reveal STM's utility as a buffer for that may later undergo encoding for transfer to .

Long-Term Memory

Long-term memory (LTM) functions as the brain's primary system for the prolonged storage of , retaining encoded material for durations extending from several minutes to an entire lifetime, in contrast to the fleeting nature of . Unlike short-term storage, which is constrained to approximately seven items and decays rapidly without , LTM possesses an essentially unlimited capacity, allowing for the accumulation of vast amounts of , experiences, and skills over a person's life. This enduring quality enables the maintenance of personal histories, learned abilities, and factual understanding, forming the foundation of individual identity and . LTM is categorized into two main divisions: , which requires conscious effort for retrieval and involves deliberate recall of information, and , which influences behavior unconsciously without intentional access. These divisions highlight LTM's dual nature in handling both reflective and automatic processes, with subtypes such as and providing further structure within the explicit domain— capturing contextually rich personal events, like a specific celebration, and storing abstract facts, such as the capital of . This within explicit LTM underscores its role in integrating time-bound experiences with generalized knowledge, facilitating both autobiographical reflection and worldly comprehension. Early neuroscientific evidence for LTM's capacity to store detailed, vivid experiences came from Wilder Penfield's intraoperative electrical stimulation of epileptic patients' temporal lobes in the mid-20th century, which reliably elicited immersive recollections of past auditory and visual scenes, such as hearing a familiar voice or seeing a childhood home, often with emotional accompaniment. These "experiential responses" demonstrated that LTM preserves holistic, sensory-rich records rather than fragmented data, supporting the idea of distributed neural engrams across cortical regions. The durability of such memories can be enhanced through techniques like —repeating material beyond the point of initial proficiency to deepen neural traces—and , which schedules reviews at increasing intervals to combat forgetting and promote stronger consolidation into LTM. Studies show that overlearning can double retention rates over weeks compared to minimal practice, while spaced repetition yields up to 200% better long-term recall than massed practice in episodic tasks.

Types of Memory

Declarative Memory

Declarative memory, often described as "knowing that" rather than "knowing how," refers to the conscious recollection of facts and events, enabling individuals to explicitly recall and articulate information about the world. This form of memory is fundamentally dependent on the hippocampus and surrounding medial structures, which are essential for encoding, consolidating, and retrieving such information. Damage to these regions disrupts the ability to form new declarative memories while often preserving pre-existing ones, highlighting the hippocampus's critical role in memory formation rather than indefinite storage. Declarative memory encompasses two primary subtypes: episodic and semantic. Episodic memory involves the recollection of personal, autobiographical events situated in specific times and places, such as remembering the details of attending a birthday party, including the emotions, sequence of activities, and spatial layout of the venue. In contrast, semantic memory stores general knowledge and facts independent of personal context, like knowing that is the capital of or understanding the principles of . These subtypes, first distinguished by in 1972, operate interdependently within the declarative system, with episodic memories often contributing to the gradual buildup of semantic knowledge over time. A key principle governing declarative memory retrieval is the , proposed by Tulving and Thomson in 1973, which posits that the effectiveness of retrieval cues depends on how closely they match the contextual conditions present during encoding. For instance, recalling a studied word is facilitated if the retrieval cue reinstates elements from the original learning environment, such as the room's lighting or associated emotions, rather than unrelated prompts. This principle underscores the context-bound nature of episodic memories in particular, emphasizing that memory access is not merely a function of stored traces but of their interaction with current situational factors. The case of patient ., who underwent bilateral medial resection in 1953 to treat severe , provides seminal evidence for the neural underpinnings of declarative memory. Following , . exhibited profound , rendering him unable to form new episodic memories—such as daily conversations or learned tasks—while his pre-existing remote episodic recollections gradually faded into factual summaries devoid of vivid context. Semantic memory for facts acquired before the surgery remained largely intact, allowing recognition of historical events or famous figures from his youth, but new semantic learning, such as vocabulary or current affairs, was similarly impaired due to the disruption of hippocampal-dependent consolidation. This dissociation spared his procedural abilities, like motor skills, but profoundly affected declarative functions, confirming the selective vulnerability of hippocampus-reliant memory systems. From an evolutionary perspective, declarative memory, particularly its episodic component, plays a vital role in by allowing organisms to mentally reconstruct past experiences and simulate potential future scenarios, thereby enhancing survival through informed decision-making. This capacity, supported by the hippocampus, enables flexible responses to environmental challenges, such as avoiding previously encountered dangers or resource acquisition, representing an advanced that distinguishes cognition and promotes reproductive fitness. Such mechanisms likely evolved to integrate personal experiences into a broader , facilitating cultural transmission and social cooperation across generations.

Procedural Memory

Procedural memory, also known as "knowing how" memory, refers to the unconscious storage and retrieval of skills, habits, and automated actions that do not require conscious recollection or verbal description. This form of enables individuals to perform complex motor sequences or perceptual-motor tasks effortlessly once learned, distinguishing it as a nondeclarative system focused on implicit knowledge. It primarily depends on subcortical structures, including the for habit formation and action sequencing, and the for fine-tuning motor coordination and timing. Representative examples of procedural memory include learning to ride a , which involves balancing and pedaling without deliberate thought after initial practice; on a keyboard, where finger movements become automatic; and classical responses, such as the eyeblink reflex acquired through repeated pairings of a tone and air puff. These skills are executed fluently and improve with repetition, often bypassing awareness of the underlying processes. A key characteristic of is its resistance to forgetting and interference, as demonstrated in cases of profound . For instance, patient H.M., who suffered bilateral hippocampal damage leading to severe for declarative information, retained the ability to learn and perform new procedural tasks, such as mirror-tracing, with performance improving over sessions despite no of the training. This preservation highlights procedural memory's independence from hippocampal-dependent systems. Larry Squire's systems model of memory posits that functions through separate neural pathways from declarative memory, involving distributed circuits like the corticostriatal loop for habits and cerebrocerebellar connections for skilled movements, allowing parallel processing without overlap in conscious recall mechanisms. In this framework, procedural learning emerges gradually via reinforcement and trial-and-error, forming robust representations that endure even when explicit knowledge is absent. Acquisition of typically occurs through extensive repetition and practice, often without the learner's conscious awareness of the incremental improvements. This implicit process strengthens neural connections in the and , enabling over time. In more advanced applications, such as musical performance, procedural memory can briefly integrate with declarative elements to refine technique during early learning stages.

Prospective and Retrospective Memory

Prospective memory refers to the ability to remember to perform an intended action at a future time or in response to a specific cue, such as taking medication at 8 PM or mailing a letter upon seeing a mailbox. In contrast, retrospective memory involves recalling information or events from the past, such as remembering the details of a recent meeting or the content of a conversation that occurred earlier. These two forms of memory are distinguished by their temporal orientation: prospective memory is future-directed and focuses on initiating delayed intentions, while retrospective memory is past-directed and centers on retrieving previously stored knowledge. Within , the dual-process theory—often framed as a multiprocess framework—posits that retrieval can occur through automatic activation triggered by salient cues or through effortful monitoring of the environment for those cues. This framework differentiates between time-based prospective memory, where actions are performed after a specific duration or at a designated clock time (e.g., checking an in 15 minutes), and event-based prospective memory, where actions are cued by external occurrences (e.g., buying milk upon entering a ). Time-based tasks typically demand more self-initiated monitoring due to the absence of discrete environmental triggers, whereas event-based tasks benefit from spontaneous cue detection. Prospective memory lapses represent a common challenge in daily life, contributing to errors like forgetting appointments or failing to complete errands, and these failures are often self-reported through validated tools such as the Prospective and Retrospective Memory Questionnaire (PRMQ). The PRMQ, developed by Smith et al. (2000), assesses both and memory slips across short- and long-term intervals, providing a reliable measure of everyday memory functioning with good (Cronbach's α > 0.80). Such lapses highlight the cognitive demands of , particularly in multitasking scenarios where ongoing activities compete for . Einstein and McDaniel (1990) developed a for event-based and found no age-related deficits, unlike in memory tasks, but proposed that time-based tasks might show greater age effects due to increased demands on self-initiated retrieval. Subsequent research has confirmed age-related declines in time-based , particularly in settings. These findings underscore that time-based is more vulnerable to aging than event-based variants, as it relies heavily on internal monitoring rather than cue-driven retrieval. However, a known as the age-prospective memory reveals that older adults often perform equivalently or better than younger adults in naturalistic everyday tasks. Building on this, Einstein and McDaniel (1995) further linked prospective memory deficits to impairments in self-initiated retrieval processes, which are integral to executing intentions without external reminders. Prospective memory is closely tied to , including planning, inhibition, and updating, as these cognitive controls support the detection and execution of delayed intentions. Specifically, self-initiated retrieval in prospective tasks draws on prefrontal cortex-mediated executive processes to overcome interference from ongoing activities and spontaneously activate intentions. Retrospective memory shares some overlap with in recalling specific past experiences, but prospective memory uniquely emphasizes the prospective formation and timely execution of intentions.

Models of Memory

Multi-Store Model

The multi-store model of memory, proposed by and Richard M. Shiffrin in 1968, posits a serial, unidirectional flow of information through three distinct stages: , , and . In this framework, all sensory input initially enters the store, which holds raw perceptual data for a very brief period—typically 0.25 to 4 seconds, depending on the modality (e.g., iconic memory for visual stimuli lasts about 0.5 seconds, while for auditory stimuli endures up to 4 seconds). Only attended-to information transfers to , a limited-capacity store that retains approximately 7 ± 2 items for 15–30 seconds without . From there, through active processes, select items may enter , which has virtually unlimited capacity and duration, serving as a permanent repository for knowledge and experiences. Central to the model are control processes that govern : acts as a selective filter, directing relevant stimuli from sensory to by preventing overload from the vast influx of perceptual data, while —repeating items mentally—maintains traces in and facilitates encoding into . Without , most sensory input decays rapidly and is lost; without , short-term traces fade due to displacement or decay, ensuring the system prioritizes salient information. This linear progression underscores the model's emphasis on structural stores interacting via controlled mechanisms, forming a foundational serial architecture for understanding memory as an information-processing system. One key strength of the model lies in its ability to account for the observed in tasks, where items at the beginning (primacy effect) and end (recency effect) of a list are remembered better than those in the middle. The primacy effect arises because early items receive extended rehearsal, allowing robust transfer to , whereas the recency effect stems from recent items still residing in at the time of recall. Empirical support comes from studies like Glanzer and Cunitz (1966), which demonstrated these effects diminish under conditions that disrupt short-term maintenance, such as immediate distractor tasks. Despite its influence, the model has notable limitations, particularly in oversimplifying as a passive, unitary store focused mainly on maintenance rather than active manipulation of information. This static view fails to capture dynamic cognitive operations, such as integrating new with existing during tasks requiring simultaneous processing and storage. Such critiques paved the way for refinements, including concepts of that emphasize multifaceted, interactive components.

Working Memory Model

The Working Memory Model, proposed by and Graham Hitch in 1974, represents as an active system for temporary storage and manipulation of information essential for tasks like reasoning and comprehension, extending beyond passive storage concepts in prior frameworks. This multi-component model posits that working memory operates through interconnected subsystems, each handling specific types of information while interacting under . At the core is the central executive, an attentional control system that allocates cognitive resources, focuses , inhibits irrelevant information, and coordinates the other components without dedicated storage capacity of its own. It draws from broader to manage complex operations, such as switching tasks or updating information. Supporting it are two "slave" subsystems: the phonological loop, which processes verbal and auditory material through a phonological store (holding sound-based information for about 2 seconds) and an articulatory rehearsal process (subvocal repetition to refresh it); and the visuospatial sketchpad, responsible for visual and spatial , enabling , , and manipulation of visual patterns. In 2000, Baddeley introduced the episodic buffer as a fourth component—a limited-capacity interface that binds information from the phonological loop, visuospatial sketchpad, and into unified, multimodal episodes for conscious awareness. The model's capacity is constrained, typically holding 7 ± 2 chunks of information, as originally outlined by in , though chunking—grouping related items into meaningful units—effectively expands this limit by reducing . Key empirical support comes from dual-task interference experiments, which reveal the subsystems' selectivity; for instance, articulatory suppression (repeating irrelevant words aloud) blocks subvocal in the phonological loop, severely impairing serial recall of verbal lists while sparing visuospatial tasks, as demonstrated in Baddeley, Thomson, and Buchanan's 1975 study. Conversely, visual tracking disrupts the visuospatial but not verbal processing, confirming domain-specific interference. Applications of the model extend to everyday , where the central executive and phonological loop underpin reasoning (e.g., mental arithmetic) and comprehension (e.g., sentences), with span tasks predicting performance in these areas. It also correlates strongly with IQ, particularly fluid intelligence, as higher capacity facilitates complex problem-solving and abstract thinking. More recent insights highlight its relevance to clinical contexts; in , the central executive shows pronounced impairment, resulting in deficits in switching and dual-task coordination that exceed those in subsidiary systems. The model has continued to influence research, with integrations from as of 2021.

Memory Processes

Encoding

Encoding refers to the initial cognitive process by which sensory stimuli from the environment are transformed into a form suitable for storage in memory systems, involving the analysis and interpretation of information at varying levels of depth. This transformation is not a passive recording but an active reconstruction, where the quality of encoding determines the durability and accessibility of the memory trace. The seminal levels of processing framework, proposed by Craik and Lockhart, posits that encoding occurs along a continuum from shallow to deep, with deeper levels yielding stronger memory representations. Shallow processing involves superficial features, such as of an item's physical appearance (e.g., evaluating if a word is written in uppercase letters) or phonemic analysis of its sound (e.g., assessing if it rhymes with another word). In contrast, deep processing entails semantic analysis, where the meaning of the stimulus is integrated with existing knowledge (e.g., determining if a word fits a sentence describing a scenario). This framework emphasizes that the depth of processing during encoding, rather than the duration of exposure, primarily influences retention. Several factors enhance encoding effectiveness by promoting deeper or more robust representations. Elaboration involves expanding on the stimulus by connecting it to prior or personal experiences, such as linking a new concept to a real-life example, which strengthens associative networks in memory. Organization facilitates encoding by structuring information hierarchically or categorically, as in Mandler's model where items are grouped into meaningful clusters to reduce and improve retrievability. complements these by suggesting that encoding is more effective when information is processed through both verbal (linguistic) and visual (imagery-based) channels, creating interconnected representational systems. A landmark experiment by Craik and Tulving demonstrated the superiority of semantic encoding, where participants incidentally encoded words by answering orienting questions at structural, phonemic, or semantic levels, followed by a surprise recall test. Words processed semantically were recalled at rates up to three times higher than those processed shallowly, underscoring how deep encoding fosters richer, more durable traces. Shallow processing failures, often resulting from superficial or divided , can be mitigated through deliberate strategies that encourage elaboration, , and dual-coding, thereby elevating the overall depth of encoding and preventing weak or fleeting memory formation. This initial encoding phase sets the foundation for subsequent consolidation processes that stabilize memories over time.

Consolidation

is the process by which newly formed memories are stabilized and strengthened for long-term storage following initial encoding. This occurs through two primary phases: synaptic consolidation, which takes place at the cellular level over hours and involves the strengthening of synaptic connections via mechanisms such as (LTP) and protein synthesis; and systems consolidation, which unfolds over days to years and entails the reorganization of memory traces across networks, gradually reducing dependence on the hippocampus for retrieval.00761-8) A key aspect of consolidation involves reconsolidation, where the retrieval of a consolidated memory renders it temporarily labile, requiring restabilization through similar molecular processes as initial consolidation, including protein synthesis. This vulnerability allows memories to be updated or modified but also makes them susceptible to disruption. Seminal evidence for the necessity of protein synthesis in consolidation comes from studies by James McGaugh and colleagues, who demonstrated that administering inhibitors like anisomycin to rats shortly after training on avoidance tasks blocked the formation of long-term memories, while sparing short-term , indicating a time-sensitive cellular consolidation phase. Sleep plays a crucial role in facilitating consolidation, with (SWS) primarily supporting declarative memory by reactivating hippocampal traces and promoting their transfer to neocortical sites, whereas rapid eye movement () sleep aids consolidation through enhanced replay of motor sequences. The time course of consolidation, particularly hippocampal involvement, is debated between the standard consolidation model, which posits that memories become independent of the hippocampus after weeks to years as they integrate into neocortical networks, and the multiple trace theory, which argues that vivid episodic memories retain lifelong hippocampal dependence through the formation of multiple parallel traces.00212-4)00816-X)

Retrieval

Retrieval is the process by which stored information is recovered and brought into conscious awareness, serving as the final stage of memory after encoding and storage. This cue-dependent process involves the interaction between retrieval cues—such as sensory, contextual, or internally generated prompts—and memory traces to reconstruct stored knowledge. Retrieval relies on prior consolidation to stabilize traces for access, but it can be effortful and prone to variability depending on the cues available. Two main methods characterize retrieval: recall, where individuals actively retrieve information without direct prompts (as in free recall, producing items in any order, or cued recall, using partial prompts like categories or word stems), and recognition, where previously learned items are identified from alternatives or lures, often requiring less cognitive effort. Theoretical frameworks explain how retrieval operates and why it succeeds or fails. The generate-recognize model proposes that recall unfolds in two stages: first, a generation phase where candidate items are produced from memory based on cues, followed by a recognition phase where the correct item is selected from those generated. This model accounts for why recognition typically outperforms , as it bypasses extensive generation by providing options. Complementing this, the asserts that retrieval cue effectiveness hinges on overlap with encoding conditions; for instance, reinstating the original context—such as environmental or mood states—enhances access by recreating the associative network formed during learning. A seminal demonstration of this is Godden and Baddeley's 1975 experiment, in which scuba divers memorized word lists either on land or underwater; recall accuracy was approximately 40% higher when tested in the same environment compared to the alternate one, highlighting context's role in cueing retrieval. Retrieval is not always facilitative and can involve inhibitory processes that suppress competing traces. Retrieval-induced forgetting occurs when selectively retrieving certain items strengthens them while inhibiting related, unpracticed ones, leading to temporary impairment in accessing the suppressed material. This mechanism supports adaptive forgetting by resolving interference during recall. Errors in retrieval often stem from incomplete activation of traces, as exemplified by the tip-of-the-tongue (TOT) phenomenon, where a sought-after word feels imminent but remains inaccessible, accompanied by partial recollections like its initial letters, syllable count, or semantic associates. TOT states reflect metacognitive of retrieval , with resolution typically occurring through additional cues or spontaneous reactivation, underscoring the reconstructive nature of memory access.

Biological Basis of Memory

Physiology

Memory formation and maintenance at the cellular level rely on , the ability of synapses to strengthen or weaken over time in response to neural activity. A key mechanism is (LTP), a persistent strengthening of synaptic transmission following high-frequency stimulation, first demonstrated in the hippocampus of anesthetized rabbits. This process embodies the Hebbian principle, articulated by Donald Hebb in 1949, that "cells that fire together wire together," where coincident presynaptic and postsynaptic activity leads to enhanced synaptic efficacy. LTP induction primarily involves N-methyl-D-aspartate (NMDA) receptors, which, upon activation by glutamate and postsynaptic depolarization, permit calcium influx that triggers downstream signaling cascades. This calcium signaling promotes the trafficking and insertion of α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptors into the postsynaptic membrane, increasing synaptic responsiveness during the early phase of LTP, which lasts minutes to hours and relies on post-translational modifications without new protein synthesis. In contrast, the late phase of LTP, enduring hours to days, requires gene expression and protein synthesis; the transcription factor cAMP response element-binding protein (CREB) plays a pivotal role by activating genes that support synaptic remodeling and structural changes. Pioneering studies by using the Aplysia californica elucidated these mechanisms through investigations of , a form of non-associative learning where repeated noxious stimuli enhance responses. In Aplysia sensory-motor synapses, Kandel's team identified analogs to LTP, including short-term facilitation via presynaptic calcium and long-term sensitization dependent on protein synthesis and CREB-mediated transcription, demonstrating conserved molecular pathways across species. These findings highlighted how synaptic strengthening involves both presynaptic transmitter release enhancements and postsynaptic receptor modifications. Synaptic plasticity imposes high energy demands, particularly for actin cytoskeleton reorganization and vesicle trafficking during remodeling. ATP, generated primarily by mitochondria, fuels these processes; local ATP production near synapses increases during LTP to sustain insertion and maintain potentiated states. Disruptions in ATP supply impair late-phase LTP persistence, underscoring the metabolic cost of memory storage.

Cognitive Neuroscience

Cognitive neuroscience examines the neural underpinnings of memory through brain imaging, lesion analysis, and connectivity studies, revealing how distributed networks support various memory functions. The hippocampus plays a central role in episodic encoding, binding contextual details of events to form coherent memories. For instance, consistently shows hippocampal activation during the formation of new episodic memories, distinguishing it from other memory types. The , particularly its dorsolateral regions, is essential for , maintaining and manipulating information over short periods. Lesions or disruptions here impair the executive control needed for tasks like paradigms. The enhances memory for emotionally salient events by modulating consolidation in the hippocampus and other areas, leading to superior recall of arousing experiences compared to neutral ones. Neuroimaging techniques provide key evidence for these roles. (fMRI) reveals activation patterns in the medial , including the hippocampus, during successful encoding and retrieval of . Similarly, (EEG) captures event-related potentials like the P300 component, which is prominent during tasks and reflects familiarity detection and context updating. Lesion studies further elucidate causality; for example, Clive Wearing's case of resulted in bilateral medial damage, severely impairing while sparing procedural skills like music performance. This dissociation highlights the hippocampus's specificity for declarative episodic content. Brain connectivity, particularly the (DMN), supports autobiographical recall by integrating self-referential and past-event processing across medial prefrontal, posterior cingulate, and temporal regions. Disruptions to DMN connectivity, as seen in of amnesic patients, correlate with deficits in retrieving personal narratives. Recent advances post-2020 have employed techniques, such as concurrent (TMS) with fMRI, to establish causal roles; for instance, stimulating the biases memory encoding toward task-relevant items, confirming its influence on mnemonic prioritization. These methods bridge correlative imaging with interventional evidence, advancing understanding of memory circuits.

Genetics and Epigenetics

Genetic Underpinnings

Individual differences in memory abilities are significantly influenced by genetic factors, with heritability estimates for general cognitive abilities, including memory, ranging from 40% to 50% based on extensive twin and family studies. These estimates indicate that genetic variation accounts for a substantial portion of the variance in memory performance, while environmental factors contribute the remainder. Twin studies, comparing monozygotic (identical) twins, who share nearly 100% of their DNA, with dizygotic (fraternal) twins, who share about 50%, have consistently shown higher concordance rates for memory traits in monozygotic pairs. For instance, in the Western Reserve Twin Project involving 137 monozygotic and 127 same-sex dizygotic twin pairs, heritability for memory ability was estimated at approximately 40%, highlighting the role of additive genetic effects in memory function. Among specific genetic variants, the (BDNF) Val66Met polymorphism has been prominently linked to memory processes. This (rs6265) in the BDNF gene affects protein secretion and is associated with reduced hippocampal volume and impaired performance, particularly in individuals carrying the Met . Studies have demonstrated that Met carriers exhibit poorer recall and diminished hippocampal activation during memory tasks compared to Val/Val homozygotes. The BDNF Val66Met variant influences in the hippocampus, a key region for memory formation, thereby contributing to individual differences in memory efficiency. Genome-wide association studies (GWAS) have identified multiple loci associated with memory performance and decline, with the (APOE) gene emerging as a major contributor, especially for late-onset memory impairment. The APOE ε4 , present in about 15-25% of the , increases risk for and accelerates memory decline by affecting amyloid-beta clearance and in the . Large-scale GWAS, such as those analyzing over 27,000 participants, have confirmed APOE's role in memory trajectories and identified additional loci influencing cognitive aging. These findings underscore the polygenic nature of memory, where no single dominates but common variants collectively shape susceptibility to memory-related decline. Polygenic scores, which aggregate the effects of numerous genetic variants identified through GWAS, provide a predictive tool for memory performance. For example, polygenic risk scores (AD-PRS), incorporating variants like APOE, have been shown to forecast memory decline in older adults, explaining up to 1-2% of variance in longitudinal memory changes across diverse cohorts. In studies of non-Hispanic white and Black participants, higher AD-PRS values predicted faster deterioration over 14 years, independent of APOE status in some cases. These scores highlight the cumulative impact of small-effect variants on memory and offer potential for early risk stratification, though they interact briefly with epigenetic factors to modulate expression.

Epigenetic Mechanisms

Epigenetic mechanisms enable environmental influences to modulate underlying memory formation and maintenance without altering the underlying sequence. These processes primarily involve chemical modifications to and associated proteins, which dynamically regulate structure and accessibility for transcription. In the context of memory, such modifications facilitate the rapid and reversible changes in neuronal activity required for and long-term information storage. A key epigenetic process is , where methyl groups are added to bases in DNA, typically silencing by compacting and inhibiting binding. Conversely, involves the addition of acetyl groups to residues on tails, which neutralizes their positive charge, loosens structure, and promotes transcriptional activation by allowing access to promoters. Demethylation, the removal of methyl groups, reverses silencing and enables expression of memory-related genes, while histone deacetylases (HDACs) counteract acetylation to restore repression. These mechanisms are activity-dependent, triggered by neuronal signaling during learning experiences. In memory processes, epigenetic modifications play a pivotal role during (LTP), a cellular correlate of learning where synaptic strength is enhanced. Specifically, activity-induced demethylation of the (BDNF) promoter facilitates BDNF expression, which supports growth and synaptic consolidation essential for LTP maintenance. BDNF, a critical for neuronal survival and plasticity, is upregulated in the hippocampus following LTP induction, with demethylation occurring at specific promoter regions to alleviate transcriptional repression. This epigenetic switch ensures that transient neural activity translates into persistent structural changes underlying memory. Seminal evidence for epigenetic involvement in memory comes from studies on in mice, where Courtney Miller and colleagues demonstrated that HDAC inhibitors enhance consolidation of auditory fear memories by increasing histone in the lateral . In these experiments, infusion of HDAC inhibitors like into the boosted H3 and H4 at promoters of plasticity genes, reversing deficits in memory formation and making the process reversible through targeted epigenetic intervention. This highlights how inhibiting HDACs can therapeutically modulate fear-related memories by promoting necessary for consolidation. During aging, aberrant epigenetic patterns contribute to memory decline, with hyper of promoters for neuronal activity and memory-associated genes leading to their silencing and impaired cognitive function. For instance, increased methylation of genes like BDNF and others involved in correlates with reduced expression in the aged hippocampus, exacerbating deficits in spatial and tasks. This hypermethylation accumulates progressively, contrasting with global hypomethylation trends, and underlies the vulnerability to age-related forgetting by limiting adaptive gene responses to experience. In the 2020s, advances in -based epigenome editing have shown promise for enhancing memory in preclinical models by precisely targeting these modifications. For example, recruiting p300 to the Gad1 promoter via /dCas9 in tauopathy mice increased gene , elevated synaptic currents, and improved performance without altering the DNA sequence. Recent studies as of 2025 have further demonstrated cell-type- and locus-specific epigenetic editing in memory engram cells, allowing for the enhancement or silencing of specific memories in mice by modulating genes like Arc, providing deeper insights into memory encoding and potential therapeutic applications. Such tools enable locus-specific activation or repression, offering potential for reversing epigenetic dysregulation in memory disorders while building on underlying genetic predispositions through modifiable regulation.

Development Across Lifespan

Memory in Infancy

, which operates without conscious awareness, is evident from birth through mechanisms such as , where infants show decreased attention to repeated stimuli and renewed interest in novel ones. Seminal studies using visual preference paradigms demonstrated this in newborns, with fixation times declining over repeated exposures to the same pattern, indicating recognition and retention of perceptual information. Newborns reliably exhibit novelty preferences after , supporting the presence of basic implicit perceptual memory systems at birth. Explicit or declarative memory, involving conscious recollection, begins to emerge around 6 to 12 months of age, as shown by infants' ability to observed actions after delays. In deferred imitation tasks, 6-month-olds can reproduce sequences of novel actions after 24 hours, though their performance is sensitive to changes in objects or context, reflecting early but limited representational flexibility. By 12 months, infants demonstrate more robust retention, with imitation persisting across contextual variations, marking a key developmental advance in encoding and retrieving event details. Infantile amnesia, the inability to recall episodic memories from before ages 3 to 4, arises from the immaturity of the hippocampus, which is essential for consolidating and retrieving declarative memories. During early infancy, the hippocampus undergoes critical maturation, including and receptor subunit shifts, leading to rapid forgetting rather than permanent storage deficits. Recent studies as of 2025 have demonstrated hippocampal encoding of memories in human infants as young as 6 months, suggesting that deficits in retrieval rather than encoding contribute to infantile amnesia. Animal models confirm this, showing that blocking hippocampal activity during learning prevents memory reinstatement in young rats, while maturation around postnatal day 24 enables long-term retention. Deferred imitation tasks serve as a primary nonverbal method to assess in infants, allowing evaluation of retention without relying on verbal reports. In these paradigms, infants observe modeled actions on objects and later reproduce them after a delay, with performance indicating the formation of flexible, declarative representations dependent on medial structures. Amnesic patients fail these tasks similarly to controls who did not observe the actions, underscoring the paradigm's specificity to declarative processes. A landmark demonstration of early retention comes from Rovee-Collier's mobile conjugate reinforcement paradigm, where 2-month-olds learned to kick and activate a crib mobile, showing significant retention after 24 hours compared to baseline. This task revealed that even young infants form associations between actions and outcomes, with forgetting occurring within 1-2 days unless reinforced, highlighting the brevity of early memory traces. Memory capabilities develop rapidly in infancy, exemplified by the vocabulary spurt around 20-24 months, where productive word learning triples and correlates with enhanced semantic processing. This acceleration reflects growth in semantic memory networks, as larger vocabularies enable faster mapping of novel words to meanings, evidenced by emerging neural markers like the N400 effect during word learning tasks. By 24 months, children with bigger lexicons show adult-like semantic integration, facilitating broader conceptual understanding.

Memory in Aging

As individuals age, distinct patterns emerge in memory function, with showing relative stability compared to more vulnerable systems. , which involves recalling personal experiences and events, exhibits the most significant decline, particularly after age 60, while for general knowledge remains largely preserved. Within , source memory—recollecting the context or origin of information—declines more sharply than item memory, which concerns basic recognition of facts or objects. These patterns reflect gradual, nonlinear changes rather than abrupt losses, with variability across individuals influenced by and . Theoretical explanations for these age-related shifts emphasize underlying cognitive mechanisms. The processing speed theory proposes that a general slowdown in neural transmission and information processing accumulates over time, impairing tasks requiring rapid integration of details, such as episodic recall. Complementing this, the inhibitory deficit hypothesis suggests that older adults experience reduced ability to filter out irrelevant stimuli, leading to increased interference and poorer memory specificity. These theories, supported by evidence of prefrontal and hippocampal alterations, highlight how interconnected cognitive processes contribute to observed declines without invoking states. Longitudinal research underscores the trajectory of these changes, with studies like the Seattle Longitudinal Study demonstrating stable memory performance through midlife followed by gradual decline post-60, at an approximate rate of 1% annually in episodic and tasks. This evidence, drawn from decades of tracking healthy adults, reveals that while average declines are modest, individual trajectories vary, with some showing minimal change into the 80s. Protective factors, notably accumulated via higher education, intellectual engagement, and active lifestyles, buffer against steeper losses by enabling compensatory neural strategies. For instance, physically and socially active older adults exhibit slower memory deterioration, as these activities enhance brain plasticity and efficiency. Genetic factors, such as the APOE ε4 allele, may briefly exacerbate vulnerability to accelerated memory decline in aging, though environmental influences often modulate this risk. Recent advancements as of 2025 include AI-assisted interventions, like large language model-based conversational agents, which have shown promise in slowing decline by boosting daily cognitive engagement and memory function in older adults. These tools, through personalized reminders and interactive training, offer scalable support to maintain independence and .

Disorders of Memory

Amnesic Syndromes

Amnesic syndromes encompass a range of memory impairments resulting from brain damage, characterized primarily by deficits in forming or retrieving memories without widespread cognitive decline. These syndromes typically manifest as , the inability to acquire new declarative memories after the onset of the condition, or , the loss of pre-existing memories from before the damage. A classic example of occurred in patient H.M. (), who underwent bilateral removal of the hippocampus and surrounding medial structures in 1953 to treat intractable , resulting in profound difficulty learning new facts or events while retaining remote memories and general intelligence. This case highlighted the hippocampus's critical role in , as the surgery spared other brain regions but selectively disrupted formation. Retrograde amnesia often accompanies anterograde deficits but can occur in isolation, with the extent of memory loss varying temporally—typically more severe for recent events than distant ones, a known as a temporal . In some instances, both types coexist, as seen in various etiologies including trauma, hypoxia, or vascular events, though the precise mechanisms remain debated. Transient global amnesia (TGA) represents a distinct acute form, involving sudden, temporary episodes of profound anterograde and lasting up to 24 hours, usually resolving without sequelae. During TGA, individuals remain alert and oriented to their identity but repeatedly inquire about recent events, with semantic knowledge and procedural abilities preserved, suggesting a selective disruption in hippocampal function rather than global cognitive failure. Episodes often follow triggers like emotional stress or physical exertion, and recurrence is rare, affecting middle-aged or older adults without long-term risk of . Korsakoff's syndrome, a chronic amnesic condition arising from (vitamin B1) deficiency often linked to chronic alcoholism, features severe alongside retrograde deficits and prominent —unintentional fabrication of false memories to fill gaps. Pathologically, it involves damage to diencephalic structures like the mammillary bodies and due to nutritional deficits, leading to disproportionate impairment in while semantic knowledge remains relatively intact. in Korsakoff patients serves as a compensatory mechanism but can hinder daily functioning, distinguishing it from other amnesias. A key feature of many amnesic syndromes is the dissociation between impaired declarative memory and spared non-declarative forms, such as procedural memory for skills and habits. In H.M., for instance, motor learning tasks like mirror-tracing improved over repeated trials without conscious recollection of prior practice, demonstrating intact implicit memory systems mediated by basal ganglia and cerebellum. Similar preservations occur in Korsakoff patients, allowing adaptation through habit formation despite explicit memory loss. Treatment for amnesic syndromes focuses on compensation rather than reversal, given the permanence of underlying damage. Cuing strategies, such as techniques or external aids like memory notebooks, can enhance retention of routine information in , though gains are modest and task-specific. For Korsakoff's, early supplementation may halt progression if administered promptly, but established deficits show limited recovery; behavioral interventions targeting through reality orientation provide symptomatic relief. Overall, multidisciplinary approaches emphasizing environmental adaptations yield the most functional improvements.

Neurodegenerative Disorders

Neurodegenerative disorders profoundly impact memory through progressive neuronal damage, with (AD) being the most common culprit, characterized by early deficits in due to the accumulation of amyloid-beta plaques and tau neurofibrillary tangles in the brain. These pathological hallmarks disrupt synaptic function and lead to neurodegeneration, particularly in the hippocampus and , resulting in impaired formation and retrieval of personal experiences. Advanced age serves as a primary , accelerating the onset and severity of these changes. In (PD), —encompassing skills like motor sequences—is notably impaired, independent of medication or other cognitive issues, due to dysfunction. Patients exhibit deficits in learning and retaining implicit tasks, such as mirror tracing, contrasting with relatively preserved declarative memory early in the disease. (HD), meanwhile, targets , with impairments evident even in premanifest stages, stemming from striatal atrophy that hinders maintenance and manipulation of information in prefrontal-striatal circuits. These deficits manifest as reduced performance on tasks like digit span or spatial tests, contributing to . Memory decline in these disorders often progresses from mild cognitive impairment (MCI) to full , with amnestic MCI showing a 10-15% annual conversion rate to AD , driven by escalating and pathology. This trajectory involves gradual worsening from subtle forgetfulness to profound disorientation, affecting multiple memory domains as neurodegeneration spreads. Diagnosis relies on tools like positron emission tomography (PET) scans, which detect beta- plaques with high sensitivity, aiding early identification of AD pathology in symptomatic individuals. The (MoCA), a brief 10-minute screen, effectively detects MCI with 80-90% sensitivity, evaluating domains including delayed recall and executive function. Current interventions focus on symptom management and disease modification; cholinesterase inhibitors like donepezil enhance levels to modestly slow cognitive decline in mild-to-moderate AD, improving memory scores by 2-3 points on scales like the . As of 2025, anti-amyloid monoclonal antibodies, such as and , have gained full FDA approval, reducing and slowing clinical progression by 22-35% in early AD over 18 months, though with risks like .

Factors Influencing Memory

Interference and Forgetting

Interference refers to the competition between memory traces that leads to , where one set of learned information disrupts the recall or retention of another. This mechanism is central to understanding why memories fade, particularly in controlled settings where proactive interference—older memories impeding the learning or retrieval of newer ones—and retroactive interference—newer learning disrupting access to prior memories—have been extensively demonstrated. Output interference, a related process, occurs when the act of retrieving some items during recall hinders the retrieval of subsequent items from the same set, as successive outputs compete for access. A classic illustration of comes from Hermann Ebbinghaus's seminal experiments in the 1880s, where he memorized nonsense syllables and measured retention over time, revealing an exponential : retention drops rapidly within the first hour (to about 58% after 20 minutes) and continues to decline, though at a slower rate, approaching 34% after a day without rehearsal. This curve demonstrates the time-based nature of forgetting but is significantly mitigated by spaced retrieval, where periodic review reinforces traces and flattens the decay trajectory. Two primary theories explain these patterns: , which posits that memory representations weaken passively over time due to disuse, as initially suggested in Ebbinghaus's work; and , which attributes most to active competition between traces rather than mere passage of time. , particularly from studies controlling for intervening activities, favors interference in laboratory contexts—for instance, retention is poorer when subjects engage in similar learning tasks between acquisition and , but comparable across delays if no such activities occur. A key demonstration of retroactive interference appears in analyses of verbal learning experiments by Benton J. Underwood, who reviewed data from numerous studies showing that introducing similar word lists after initial learning progressively impairs recall of the original list, with interference effects scaling with the similarity and amount of interpolated material. For example, in paired-associate tasks, subjects recalling the first list after learning a second exhibited up to 30-50% greater forgetting compared to control conditions without interpolation. Beyond its disruptive effects, forgetting via interference serves an adaptive function by pruning irrelevant or outdated information, thereby reducing and prioritizing access to contextually relevant memories in a dynamic environment. This selective suppression enhances , as supported by models showing that inhibitory processes during interference resolve competition to stabilize important traces while weakening competitors.

Stress and Sleep

Stress exerts a complex influence on memory processes, often following an inverted-U shaped curve as described by the Yerkes-Dodson law, where moderate levels of stress enhance memory performance while extreme levels impair it. This relationship arises because optimal arousal facilitates attention and encoding in tasks of moderate complexity, but high stress disrupts these functions. Elevated , the primary , at high levels impairs hippocampal function critical for memory formation by interfering with and . For instance, prolonged exposure to high reduces hippocampal volume and correlates with deficits in declarative memory tasks. Chronic stress induces structural changes in the hippocampus, notably dendritic retraction in the CA3 region, which compromises and pattern separation. These alterations, driven by sustained elevation, reduce synaptic connectivity and impair the region's ability to process contextual information, leading to cognitive deficits observed in animal models. Recovery from such changes can occur upon stress cessation, highlighting the plasticity of hippocampal circuits. Sleep plays a pivotal role in memory consolidation, particularly during slow-wave sleep (SWS), where declarative memories are stabilized through coordinated neural replay. SWS facilitates the transfer of information from the hippocampus to neocortical storage sites, enhancing recall of factual and episodic content. Sleep spindles, brief bursts of 11-16 Hz activity during non-REM sleep, link hippocampal ripples to cortical slow oscillations, promoting the selective reactivation and integration of memory traces. This mechanism ensures that relevant experiences are strengthened while irrelevant ones fade. A seminal study by Rasch and colleagues demonstrated selective memory reactivation during : presenting cues associated with learned material during SWS improved declarative the next day, underscoring the targeted nature of consolidation processes. This targeted memory reactivation (TMR) technique, pioneered in Born's lab, reveals how sensory cues can cue hippocampal replay to bolster specific memories without affecting others.

Techniques and Improvement

Assessment Methods

Assessment of memory function relies on a variety of standardized tests and paradigms designed to evaluate different aspects of memory, such as immediate , delayed retention, recognition, and learning efficiency, across diverse populations. These methods are tailored to accommodate varying developmental stages and cognitive abilities, ensuring reliable measurement while minimizing confounds like or motor skills. Common approaches include verbal and visual tasks that probe episodic, working, and components. One widely used standard test is the (WMS), available in versions like the fourth edition (WMS-IV), which provides a comprehensive battery of subtests assessing auditory and visual memory domains. Verbal subtests, such as Logical Memory, involve recalling details from short stories immediately and after a delay, while visual subtests like Visual Reproduction require reproducing geometric designs from memory. These subtests yield index scores for auditory, visual, and immediate/delayed memory, facilitating comparison to age-based norms. The Rey Auditory Verbal Learning Test (RAVLT) complements this by focusing on verbal learning through repeated presentation and recall of a 15-word list, followed by interference trials and delayed recall, to quantify learning curves, proactive/retroactive interference, and recognition accuracy. For infants, who lack verbal capabilities, the elicited imitation paradigm serves as a non-verbal method to assess deferred recall memory. In this procedure, an experimenter demonstrates a sequence of actions on novel objects, and the infant is later given the props to imitate the sequence after a delay ranging from minutes to weeks, revealing the emergence of explicit memory as early as 6 months of age. Age-specific adaptations continue into childhood and later life with story recall tasks, such as those in the Children's Memory Scale for younger individuals, where participants retell narrative details to evaluate narrative comprehension and retention, or similar immediate/delayed story retellings for elderly adults to detect age-related declines in episodic encoding. Neuropsychological assessments like the California Verbal Learning Test (CVLT) delve into strategic aspects of memory organization by analyzing errors in list learning, such as semantic clustering (grouping words by category) versus perseverations or intrusions that signal disorganized retrieval or frontal-executive dysfunction. The CVLT presents categorized word lists over multiple trials, with free and cued recall, allowing detection of learning strategies and error patterns that standard recall tests might overlook. Digital tools have enhanced accessibility for repeated measures, enabling longitudinal tracking without clinical settings. Platforms like Creyos (formerly Cambridge Brain Sciences) offer web-based tasks, including digit span for and paired associates for associative learning, which provide standardized scores sensitive to subtle changes over time through gamified interfaces validated against traditional batteries. Despite their strengths, these methods face validity challenges, particularly cultural biases in tasks that assume familiarity with Western narrative structures or individualistic recall styles, leading to lower performance among non-Western or minority groups even when controlling for . Such biases can inflate apparent deficits in cross-cultural applications, underscoring the need for norming adjustments. These assessments are often applied in clinical contexts to identify memory impairments associated with various disorders.

Enhancement Strategies

Enhancement strategies for memory encompass a range of evidence-based approaches aimed at improving , retention, and cognitive resilience across the lifespan. These methods draw from psychological, physiological, and technological interventions, with varying by individual factors such as age and baseline cognitive status. Seminal techniques like spatial mnemonics and algorithmic repetition have demonstrated robust benefits in controlled studies, while modifications and targeted training programs offer broader, sustainable gains. Pharmacological aids provide acute enhancements, particularly under conditions of , and emerging show promise for addressing age-related declines. The method of loci, an ancient spatial mnemonic technique involving the association of information with familiar locations along a mental route, significantly improves episodic and working memory recall. A meta-analysis of randomized controlled trials found that the loci method yields a large effect size (Hedges' g = 0.88) for memorizing ordered lists compared to control conditions, with benefits persisting in diverse populations including healthy adults and those with cognitive impairments. Similarly, spaced repetition systems, such as the algorithm implemented in Anki software, optimize long-term retention by scheduling reviews based on forgetting curves, leading to superior factual recall in educational settings. In a study of medical students, consistent use of Anki's spaced repetition resulted in higher examination scores and self-reported improvements in knowledge retention over traditional study methods. Lifestyle interventions, including and dietary patterns, support memory through and structural brain changes. Regular , such as walking or for 120 minutes weekly, increases (BDNF) levels, which correlates with enhanced hippocampal volume and memory performance in older adults. A one-year intervention trial demonstrated a 2% increase in hippocampal volume and corresponding gains in tasks among participants aged 59-81. The , rich in fruits, vegetables, fish, and , is associated with preserved hippocampal volume and reduced memory decline; longitudinal analyses show that higher adherence predicts larger bilateral hippocampal volumes and slower cognitive aging by up to one year per adherence point. Cognitive training programs targeting , like dual tasks, produce modest but transferable improvements in executive function. A multi-level of training studies reported small to moderate near-transfer effects (g = 0.24) to untrained tasks, with limited far-transfer to fluid intelligence, emphasizing the value of adaptive, intensive protocols for sustained benefits. Pharmacologically, enhances alertness and certain memory domains in non-sleep-deprived individuals, though effects are inconsistent across cognition types. A concluded that (200 mg) improves and planning in healthy adults but shows limited broad enhancement potential. Caffeine, a widely used , bolsters consolidation at moderate doses (200 mg); experimental evidence indicates it enhances recall accuracy for images viewed post-ingestion by stabilizing neural representations during sleep. Recent advancements in 2025 incorporate (VR) for simulation, particularly in aging populations. VR-based cognitive training interventions have been shown to improve episodic recall and emotional well-being in older adults with , with revealing increased hippocampal activation after immersive sessions simulating daily scenarios. A of VR reminiscence therapy reported significant gains in retrieval among patients, underscoring its role in counteracting age-related episodic deficits.

Memory in Non-Human Organisms

Memory in Animals

Memory in animals encompasses a range of neural processes that enable learning, , and to complex environments, often studied through comparative approaches to reveal evolutionary patterns. , a critical type for and , is exemplified in corvids like Clark's nutcrackers (Nucifraga columbiana), which cache thousands of seeds annually and rely on hippocampal-dependent spatial representations to recover them with high accuracy even after delays of up to 285 days. This long-term retention highlights the precision of avian , where birds can relocate over 2,000 caches using geometric and landmark-based cues. Similarly, episodic-like memory—analogous to recalling specific past events—in scrub (Aphelocoma coerulescens) allows them to remember the "what," "where," and "when" of cached food items, adjusting recovery strategies based on degradation rates of perishable versus non-perishable items, as demonstrated in controlled caching experiments. This what-where-when integration supports future planning, such as prioritizing fresh caches, and underscores the sophistication of corvid memory systems. Rodents serve as key model organisms for investigating synaptic mechanisms of memory, particularly (LTP) in the hippocampus, a process first identified in 1973 as a persistent strengthening of synaptic efficacy following high-frequency stimulation, which underlies spatial learning in tasks like the Morris water maze. In rats, LTP induction in hippocampal CA1 neurons correlates with the formation of place-specific memories, providing a cellular basis for associative learning conserved across mammals. , including rhesus monkeys, exhibit advanced capacities in the , where delay-period activity in neurons encodes spatial and object information during tasks requiring temporary maintenance and manipulation of stimuli, as shown in seminal single-unit recordings. These findings from non-human parallel human prefrontal functions but emphasize domain-specific networks involving parietal and temporal areas for visuospatial holding. Pioneering behavioral studies, such as Edward Tolman's experiments with rats navigating elevated mazes, revealed the formation of cognitive maps—internal representations of spatial layouts—that enable flexible route planning beyond simple stimulus-response associations, evidenced by where rats shortcut to goals after unrewarded exploration. Mirror self-recognition (MSR), tested via the mark test, further ties advanced memory to in species like chimpanzees, where individuals use episodic-like recall of their appearance to touch novel marks on their bodies only when viewed in a mirror, indicating integration of visual memory with . This capacity, observed in great apes and some corvids, relies on hippocampal and prefrontal circuits for integrating past sensory experiences. Evolutionary conservation is evident in the homology of declarative memory systems across mammals, where the hippocampus supports item-context associations akin to human episodic memory, as inferred from comparative lesion studies showing parallel impairments in spatial and temporal binding in rodents and primates. These shared neural architectures suggest that declarative memory evolved early in mammalian lineages to encode relational information for survival. Ethological examples include olfactory imprinting in salmon (Oncorhynchus spp.), where juveniles form long-lasting memories of natal stream odors via major histocompatibility complex (MHC) peptide ligands during a critical period, guiding precise homing migrations thousands of kilometers later. This olfactory memory, retained for years, exemplifies how sensory-specific neural systems drive migratory behavior in vertebrates. Parallels to human memory lie in the conserved role of the hippocampus in spatial-episodic integration across mammals.

Memory in Plants

Plants exhibit memory-like processes through persistent physiological and biochemical responses to environmental stimuli, enabling adaptive behaviors without a centralized . These mechanisms allow to "remember" past experiences, such as stress events or repeated stimuli, and adjust future responses accordingly. For instance, epigenetic modifications in structure facilitate the retention of stress-induced patterns, providing a form of somatic memory that enhances survival under recurring conditions. This contrasts with transient signaling but shares conceptual similarities with epigenetic in animals, where marks influence accessibility across generations. A prominent example of behavioral is in the (Dionaea muscipula), where repeated mechanical stimulation of sensory hairs leads to fewer trap closures over time, conserving energy for genuine prey capture. This short-term electrical memory relies on cumulative action potentials, allowing the plant to distinguish harmless touches from threats after 2–3 stimuli. Similarly, the sensitive plant (Mimosa pudica) demonstrates learned avoidance by reducing leaf-folding responses to repeated shaking after initial sensitivity, with this persisting for weeks in controlled environments. Circadian rhythms further illustrate anticipatory memory, as plants like use internal clocks to predict light onset, optimizing through phased that "recalls" daily cycles. At the molecular level, waves propagate information across tissues, encoding stimulus intensity and duration to trigger appropriate recall mechanisms. These waves, generated by activation, form oscillatory patterns that sustain memory of events like wounding or salt stress for hours to days. gradients, particularly , contribute to spatial "recall" by redistributing to direct growth responses, such as root branching toward previously favorable conditions, integrating temporal information from prior exposures. Key research has advanced understanding through Anthony Trewavas' advocacy for "plant neurobiology," which posits decentralized signaling networks akin to neural processes, sparking debates on terminology while highlighting adaptive intelligence. Recent 2020s studies emphasize intergenerational stress memory, where parental exposure to biotic or abiotic stressors induces epigenetic changes, like DNA methylation, transmitted to offspring for enhanced priming against similar threats; for example, a 2025 review details how abiotic stress priming via histone modifications and small RNAs enables transgenerational adaptation in crops. These findings underscore implications for plant fitness, enabling resilience in fluctuating environments without neurons and challenging anthropocentric definitions of memory.

References

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