Short-term memory

Last updated

Short-term memory (or "primary" or "active memory") is the capacity for holding a small amount of information in an active, readily available state for a short interval. For example, short-term memory holds a phone number that has just been recited. The duration of short-term memory (absent rehearsal or active maintenance) is estimated to be on the order of seconds. The commonly cited capacity of 7 items, found in Miller's Law, has been superseded by 4±1 items. [1] In contrast, long-term memory holds information indefinitely.

Contents

Short-term memory is not the same as working memory, which refers to structures and processes used for temporarily storing and manipulating information.

Stores

The idea of separate memories for short-term and long-term storage originated in the 19th century. A model of memory developed in the 1960s assumed that all memories are formed in one store and transfer to others store after a small period of time. This model is referred to as the "modal model", most famously detailed by Shiffrin. [2] The model states that memory is first stored in sensory memory, which has a large capacity but can only maintain information for milliseconds. [3] A representation of that rapidly decaying memory is moved to short-term memory. Short-term memory does not have a large capacity like sensory memory, but holds information for seconds or minutes. The final storage is long-term memory, which has a very large capacity and is capable of holding information possibly for a lifetime.

The exact mechanisms by which this transfer takes place, whether all or only some memories are retained permanently, and even to have the existence of a genuine distinction between stores, remain controversial.

Evidence

Anterograde amnesia

One form of evidence cited in favor of the existence of a short-term store comes from anterograde amnesia, the inability to learn new facts and episodes. Patients with this form of amnesia have an intact ability to retain small amounts of information over short time scales (up to 30 seconds) but have little ability to form longer-term memories (illustrated by patient HM). This is interpreted as showing that the short-term store is spared from damage and diseases. [4]

Distraction tasks

Other evidence comes from experimental studies showing that some manipulations impair memory for the 3 to 5 most recently learned words of a list (it is presumed that they are held in short-term memory). Recall for words from earlier in the list (it is presumed, stored in long-term memory) are unaffected. Other manipulations (e.g., semantic similarity of the words) affect only memory for earlier list words, [5] but do not affect memory for the most recent few words. These results show that different factors affect short-term recall (disruption of rehearsal) and long-term recall (semantic similarity). Together, these findings show that long-term memory and short-term memory can vary independently of each other.

Models

Unitary model

Not all researchers agree that short- and long-term memory are separate systems. The alternative Unitary Model proposes that short-term memory consists of temporary activations of long term representations (that there is one memory that behaves variously over all time scales, from milliseconds to years). [6] [7] It has been difficult to identify a sharp boundary between short-term and long-term memory. For instance, Tarnow reported that the recall probability vs. latency curve is a straight line from 6 to 600 seconds, with the probability of failure to recall only saturating after 600 seconds. [8] If two different stores were operating in this time domain, it is reasonable to expect a discontinuity in this curve. Other research has shown that the detailed pattern of recall errors looks remarkably similar to recall of a list immediately after learning (it is presumed, from short-term memory) and recall after 24 hours (necessarily from long-term memory). [9]

Further evidence for a unified store comes from experiments involving continual distractor tasks. In 1974, Bjork and Whitten presented subjects with word pairs to remember; before and after each word pair, subjects performed a simple multiplication task for 12 seconds. After the final word-pair, subjects performed the multiplication distractor task for 20 seconds. They reported that the recency effect (the increased probability of recall of the last items studied) and the primacy effect (the increased probability of recall of the first few items) was sustained. These results are incompatible with a separate short-term memory as the distractor items should have displaced some of the word-pairs in the buffer, thereby weakening the associated strength of the items in long-term memory. [10]

Tzeng (1973) reported an instance where the recency effect in free recall did not seem to result from a short-term memory store. Subjects were presented with four study-test periods of 10 word lists, with a continual distractor task (20-second period of counting-backward). At the end of each list, participants had to free-recall as many words as possible. After recall of the fourth list, participants were asked to recall items from all four lists. Both the initial and final recall showed a recency effect. These results violated the predictions of a short-term memory model, where no recency effect would be expected. [11]

Koppenaal and Glanzer (1990) attempted to explain these phenomena as a result of the subjects' adaptation to the distractor task, which allowed them to preserve at least some short-term memory capabilities. In their experiment the long-term recency effect disappeared when the distractor after the last item differed from the distractors that preceded and followed the other items (e.g., arithmetic distractor task and word reading distractor task). Thapar and Greene challenged this theory. In one of their experiments, participants were given a different distractor task after every study item. According to Koppenaal and Glanzer's theory, no recency effect would be expected as subjects would not have had time to adapt to the distractor; yet such a recency effect remained in place in the experiment. [12]

Another explanation

One proposed explanation for recency in a continual distractor condition, and its disappearance in an end-only distractor task is the influence of contextual and distinctive processes. [13] According to this model, recency is a result of the similarity of the final items' processing context to the processing context of the other items and the distinctive position of the final items versus intermediate items. In the end distractor task, the processing context of the final items is no longer similar to that of the other list items. At the same time, retrieval cues for these items are no longer as effective as without the distractor. Therefore, recency recedes or vanishes. However, when distractor tasks are placed before and after each item, recency returns, because all the list items have similar processing context. [13]

Synaptic theory

Various researchers have proposed that stimuli are coded in short-term memory using transmitter depletion. [14] [15] According to this hypothesis, a stimulus activates a spatial pattern of activity across neurons in a brain region. As these neurons fire, the available neurotransmitters are depleted. This depletion pattern represents stimulus information and functions as a memory trace. The memory trace decays over time as a consequence of neurotransmitter reuptake mechanisms that restore neurotransmitters to prior levels.

Relationship with working memory

The relationship between short-term memory and working memory is described by various theories, but the two concepts are generally considered distinct. Neither holds information for long, but short-term memory is a simple store, while working memory allows it to be manipulated. [16] Short-term memory is part of working memory, but is not the same thing.

Working memory refers to structures and processes used for temporarily storing and manipulating information. Working memory has been termed working attention. Working memory and attention together play a major role in the thought process. Short-term memory in general refers to the short-term storage of information, and it does not encompass memory manipulation or organization. Thus, while short-term memory components appear in working memory models, the concept of short-term memory is distinct from other concepts.

Within Baddeley's influential 1986 model of working memory two short-term storage mechanisms appear: the phonological loop and the visuospatial sketchpad. Most of the above research involves the phonological loop, because most of the work on short-term memory uses verbal material. Since the 1990s, however, research on visual short-term memory [17] and spatial short-term memory has expanded. [18]

Duration

The limited duration of short-term memory (~18 seconds without rehearsal) [19] suggests that its contents spontaneously decay over time. [20] [ citation needed ] The decay assumption is part of many theories of short-term memory. The most notable one is Baddeley's model of working memory. The decay assumption is usually paired with the idea of rapid covert rehearsal: to retain information for longer, information must be periodically repeated or rehearsed, either by articulating it out loud or by mental simulation. Another type of rehearsal that can improve short-term memory is attention-based rehearsal. Information is mentally searched in a particular sequence. [16] Once recalled, the information re-enters short-term memory and is then retained for a further period.

Nairn and Lewandosky et. al. dispute that spontaneous decay plays any significant role in short-term forgetting, [21] [22] and the evidence is not conclusive. [23]

One alternative asserts that several elements (such as digits, words, or pictures, or logos) are held in short-term memory simultaneously, their representations compete with each other for recall, degrading each other. Thereby, new content gradually replaces older content, unless the older content is actively protected. [24]

Capacity

Whatever the cause(s) of short-term forgetting, consensus asserts that it limits the amount of retained new information short term. This limit is referred to as the finite capacity of short-term memory. Short-term memory capacity is often called memory span, in reference to a common measurement procedure. In a memory span test, the experimenter presents a list of items (e.g. digits or words) of increasing length. An individual's span is determined as the longest list length that he or she can recall correctly in the given order on half or more trials.

In an early and influential article, "The Magical Number Seven, Plus or Minus Two", [25] Miller suggested that human short-term memory has a forward memory span of approximately seven plus or minus two items and that that was well known at the time (apparently originating with Wundt). Later research reported that this "magical number seven" is roughly accurate for college students recalling lists of digits, but memory span varies widely across populations and material. For example, the ability to recall words in order depends on characteristics of those words: fewer words can be recalled when the words have longer spoken duration; this is known as the word-length effect, [26] or when their speech sounds are similar to each other; this is called the phonological similarity effect. [27] More words can be recalled when the words are highly familiar or occur frequently in speech. [28] Recall performance is better when all of the words are taken from a single semantic category (such as games) than when the words are chosen randomly. [29] A later estimate of short-term memory capacity reported that the capacity was about four pieces, or "chunks", of information. [30] Other notable theories argue against measuring capacity in terms of the number of elements. [31] [32] [33]

In the visual domain, several studies report no fixed capacity limit in terms of total number of items that can be retained. Instead, some investigators have argued for a limited resource that can be flexibly shared between items held in short-term memory, with some items (in the focus of attention) being allocated more resource and being recalled with greater fidelity. [31] [32] Many of these experiments have used delayed response tasks that have a continuous, analogue response space, rather than using a binary (correct/incorrect) recall method as is often used in change detection tasks. Instead of asking people to report whether a change occurred between the memory and probe array, delayed reproduction tasks require participants to reproduce the precise quality of a visual feature, e.g. an object's orientation or colour. [34] [35] [36]

Rehearsal

Rehearsal is the process of repeating information to be retained, ostensibly keeping it in short-term memory. Each repetition reenters the information into short-term memory, thus keeping that information for another 10 to 20 seconds (the average storage time for short-term memory). [37]

Chunking

Chunking is a technique that allows memory to remember more things. Chunking involves organizing material into meaningful groups. Chunking can greatly increase recall capacity. For example, in recalling a phone number, chunking the digits into three groups (area code, prefix, and extension). This method of remembering phone numbers is far more effective than attempting to remember a string of 10 digits.

Practice and the usage of existing information in long-term memory can lead to additional improvements in chunking. In one testing session, an American cross-country runner was able to recall a string of 79 digits after hearing them only once by chunking them into groups the size of a running time. [38]

Factors

Diseases that cause neurodegeneration, such as Alzheimer's disease, can damage short-term as well as long-term memory. [39] Damage to certain sections[ which? ] of the brain due to this disease causes a shrinkage in the cerebral cortex, which impairs the ability to think and recall. [40]

Short-term memory performance is influenced by diet. More intake of blueberries was reported to improve short-term memory after continuous use whereas alcohol decreases short-term memory performance. [41]

Conditions

Age

Memory loss is a natural aging process. Research has reported short-term memory decreases with age. The decline appears to be constant and continuous beginning in the twenties.

One study used data from a previous study that compiled normative French data for three short-term memory tasks (verbal, visual and spatial). They found impairments in participants between the ages of 55 and 85 years of age. [42]

Advanced age is also associated with decrements in episodic memory. The associated deficit is that differences in recognition memory reflect difficulty in binding components of a memory episode and bound units. [43] A previous study used mixed and blocked test designs and reported an associative deficit for older adults. [44]

Even absent neurological diseases and disorders, progressive and gradual loss of some intellectual functions become evident in later years. Several tests assess the psychophysical characteristics of the elderly, such as the functional reach (FR) test and the mini–mental state examination (MMSE). FR is an index of the aptitude to maintain balance in an upright position, while the MMSE test is a global index of cognitive abilities. These tests were used by Costarella et al. [45] to evaluate the psychophysical characteristics of older adults. They found a loss of physical performance (FR, related to height) as well as a loss of cognitive abilities (MMSE).[ citation needed ]

Alzheimer's disease

Memory distortion in Alzheimer's disease is a disorder common in older adults. One study compared patients with mild to moderate Alzheimer's disease versus age matched healthy adults. [46] Alzheimer's patients had more severely reduced short-term memory. Visual short-term memory is also impaired in sporadic, late-onset as well as familial Alzheimer's disease, when assessed using delayed reproduction tasks. [39] [47] [48] These studies point to a deficit in visual feature binding as an important component of the deficit. Episodic memory and semantic abilities deteriorate early in Alzheimer's disease. Since the cognitive system includes interconnected and reciprocally influenced neuronal networks, one study hypothesized that stimulation of lexical-semantic abilities may benefit semantically structured episodic memory. They found that Lexical-Semantic stimulation treatment could improve episodic memory. [49]

Aphasia

Aphasias commonly occur after left-hemisphere stroke or with neurodegenerative conditions such as primary progressive aphasias. [50] Patients with left temporoparietal focal lesions may suffer a deficit of verbal short-term memory, which may also be a feature of logopenic primary progressive aphasia. [51] [52] [53]

Many language-impaired patients complain about short-term memory deficits. Family members confirm that patients have trouble recalling previously known names and events. These signals are supported by studies reporting that many aphasics also have trouble with visual-memory required tasks. [54] There have been reports of deficits in verbal short-term memory when related to short term memory, these deficits are harder to treat since there are less measurements for verbal short term memory. [55]

Schizophrenia

Core symptoms of schizophrenia patients have been linked to cognitive deficits. One neglected factor that contributes to those deficits is the comprehension of time. [56] Schizophrenics are not able to process how much time has passed. They are unable to process this because they have impaired temporal information processing. They cannot tell what the actual time is, what day of the week it is, what month it is, or what year it is. For some, they feel as though time is either sped up or slowed down. This causes them to have instability in life. Not being able to tell time or know what year they are in, forces them to not be able to have a stable life. Schizophrenics have the inability to detect rhythm irregularities and estimating durations of time. This affects the verbal and psychical abilities. They have a harder time making judgments between multiple events because it is all bound together as one for them. [57]

Post-traumatic stress disorder

Posttraumatic stress disorder (PTSD) is associated with altered processing of emotional material with strong attentional bias toward trauma-related information. It interferes with cognitive processing. Aside from trauma processing specificities, a range of cognitive impairments have been associated with PTSD state, including attention and verbal memory deficits. [58]

Intelligence

Few studies have been done on the relationship between short-term memory and intelligence. One study examined whether people with PTSD had equivalent levels of short-term, non-verbal memory on the Benton Visual Retention Test (BVRT), and whether they had equivalent levels of intelligence on the Raven Standard Progressive Matrices (RSPM). They found that people with PTSD had worse short-term, non-verbal memory on the BVRT, despite having comparable levels of intelligence on the RSPM, concluding impairments in memory influence intelligence assessments in the subjects. [59]

See also

Related Research Articles

Long-term memory (LTM) is the stage of the Atkinson–Shiffrin memory model in which informative knowledge is held indefinitely. It is defined in contrast to sensory memory, the initial stage, and short-term or working memory, the second stage, which persists for about 18 to 30 seconds. LTM is grouped into two categories known as explicit memory and implicit memory. Explicit memory is broken down into episodic and semantic memory, while implicit memory includes procedural memory and emotional conditioning.

Working memory is a cognitive system with a limited capacity that can hold information temporarily. It is important for reasoning and the guidance of decision-making and behavior. Working memory is often used synonymously with short-term memory, but some theorists consider the two forms of memory distinct, assuming that working memory allows for the manipulation of stored information, whereas short-term memory only refers to the short-term storage of information. Working memory is a theoretical concept central to cognitive psychology, neuropsychology, and neuroscience.

Source amnesia is the inability to remember where, when or how previously learned information has been acquired, while retaining the factual knowledge. This branch of amnesia is associated with the malfunctioning of one's explicit memory. It is likely that the disconnect between having the knowledge and remembering the context in which the knowledge was acquired is due to a dissociation between semantic and episodic memory – an individual retains the semantic knowledge, but lacks the episodic knowledge to indicate the context in which the knowledge was gained.

The interference theory is a theory regarding human memory. Interference occurs in learning. The notion is that memories encoded in long-term memory (LTM) are forgotten and cannot be retrieved into short-term memory (STM) because either memory could interfere with the other. There is an immense number of encoded memories within the storage of LTM. The challenge for memory retrieval is recalling the specific memory and working in the temporary workspace provided in STM. Retaining information regarding the relevant time of encoding memories into LTM influences interference strength. There are two types of interference effects: proactive and retroactive interference.

The Decay theory is a theory that proposes that memory fades due to the mere passage of time. Information is therefore less available for later retrieval as time passes and memory, as well as memory strength, wears away. When an individual learns something new, a neurochemical "memory trace" is created. However, over time this trace slowly disintegrates. Actively rehearsing information is believed to be a major factor counteracting this temporal decline. It is widely believed that neurons die off gradually as we age, yet some older memories can be stronger than most recent memories. Thus, decay theory mostly affects the short-term memory system, meaning that older memories are often more resistant to shocks or physical attacks on the brain. It is also thought that the passage of time alone cannot cause forgetting, and that decay theory must also take into account some processes that occur as more time passes.

The Atkinson–Shiffrin model is a model of memory proposed in 1968 by Richard Atkinson and Richard Shiffrin. The model asserts that human memory has three separate components:

  1. a sensory register, where sensory information enters memory,
  2. a short-term store, also called working memory or short-term memory, which receives and holds input from both the sensory register and the long-term store, and
  3. a long-term store, where information which has been rehearsed in the short-term store is held indefinitely.
<span class="mw-page-title-main">Spatial memory</span> Memory about ones environment and spatial orientation

In cognitive psychology and neuroscience, spatial memory is a form of memory responsible for the recording and recovery of information needed to plan a course to a location and to recall the location of an object or the occurrence of an event. Spatial memory is necessary for orientation in space. Spatial memory can also be divided into egocentric and allocentric spatial memory. A person's spatial memory is required to navigate around a familiar city. A rat's spatial memory is needed to learn the location of food at the end of a maze. In both humans and animals, spatial memories are summarized as a cognitive map.

<span class="mw-page-title-main">Picture superiority effect</span> Psychological phenomenon

The picture superiority effect refers to the phenomenon in which pictures and images are more likely to be remembered than are words. This effect has been demonstrated in numerous experiments using different methods. It is based on the notion that "human memory is extremely sensitive to the symbolic modality of presentation of event information". Explanations for the picture superiority effect are not concrete and are still being debated.

Serial-position effect is the tendency of a person to recall the first and last items in a series best, and the middle items worst. The term was coined by Hermann Ebbinghaus through studies he performed on himself, and refers to the finding that recall accuracy varies as a function of an item's position within a study list. When asked to recall a list of items in any order, people tend to begin recall with the end of the list, recalling those items best. Among earlier list items, the first few items are recalled more frequently than the middle items.

In cognitive psychology, chunking is a process by which small individual pieces of a set of information are bound together to create a meaningful whole later on in memory. The chunks, by which the information is grouped, are meant to improve short-term retention of the material, thus bypassing the limited capacity of working memory and allowing the working memory to be more efficient. A chunk is a collection of basic units that are strongly associated with one another, and have been grouped together and stored in a person's memory. These chunks can be retrieved easily due to their coherent grouping. It is believed that individuals create higher-order cognitive representations of the items within the chunk. The items are more easily remembered as a group than as the individual items themselves. These chunks can be highly subjective because they rely on an individual's perceptions and past experiences, which are linked to the information set. The size of the chunks generally ranges from two to six items but often differs based on language and culture.

<span class="mw-page-title-main">Baddeley's model of working memory</span> Model of human memory

Baddeley's model of working memory is a model of human memory proposed by Alan Baddeley and Graham Hitch in 1974, in an attempt to present a more accurate model of primary memory. Working memory splits primary memory into multiple components, rather than considering it to be a single, unified construct.

<span class="mw-page-title-main">Memory and aging</span> Aspect of senescence

Age-related memory loss, sometimes described as "normal aging", is qualitatively different from memory loss associated with types of dementia such as Alzheimer's disease, and is believed to have a different brain mechanism.

In psychology and neuroscience, memory span is the longest list of items that a person can repeat back in correct order immediately after presentation on 50% of all trials. Items may include words, numbers, or letters. The task is known as digit span when numbers are used. Memory span is a common measure of working memory and short-term memory. It is also a component of cognitive ability tests such as the WAIS. Backward memory span is a more challenging variation which involves recalling items in reverse order.

In mental memory, storage is one of three fundamental stages along with encoding and retrieval. Memory is the process of storing and recalling information that was previously acquired. Storing refers to the process of placing newly acquired information into memory, which is modified in the brain for easier storage. Encoding this information makes the process of retrieval easier for the brain where it can be recalled and brought into conscious thinking. Modern memory psychology differentiates between the two distinct types of memory storage: short-term memory and long-term memory. Several models of memory have been proposed over the past century, some of them suggesting different relationships between short- and long-term memory to account for different ways of storing memory.

The modality effect is a term used in experimental psychology, most often in the fields dealing with memory and learning, to refer to how learner performance depends on the presentation mode of studied items.

Nelson Cowan is the Curators' Distinguished Professor of Psychological Sciences at the University of Missouri. He specializes in working memory, the small amount of information held in mind and used for language processing and various kinds of problem solving. To overcome conceptual difficulties that arise for models of information processing in which different functions occur in separate boxes, Cowan proposed a more organically organized "embedded processes" model. Within it, representations held in working memory comprise an activated subset of the representations held in long-term memory, with a smaller subset held in a more integrated form in the current focus of attention. Other work has been on the developmental growth of working memory capacity and the scientific method. His work, funded by the National Institutes of Health since 1984, has been cited over 41,000 times according to Google Scholar. The work has resulted in over 250 peer-reviewed articles, over 60 book chapters, 2 sole-authored books, and 4 edited volumes.

<span class="mw-page-title-main">Effects of alcohol on memory</span> Health effect of alcohol consumption

Ethanol is the type of alcohol found in alcoholic beverages. It is a volatile, flammable, colorless liquid that acts as a central nervous system depressant. Ethanol can impair different types of memory.

<span class="mw-page-title-main">Memory</span> Faculty of mind to store and retrieve data

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. If past events could not be remembered, it would be impossible for language, relationships, or personal identity to develop. Memory loss is usually described as forgetfulness or amnesia.

This relationship between autism and memory, specifically memory functions in relation to Autism Spectrum Disorder (ASD), has been an ongoing topic of research. ASD is a neurodevelopmental disorder characterised by social communication and interaction impairments, along with restricted and repetitive patterns of behavior. In this article, the word autism is used to refer to the whole range of conditions on the autism spectrum, which are not uncommon.

Visual selective attention is a brain function that controls the processing of retinal input based on whether it is relevant or important. It selects particular representations to enter perceptual awareness and therefore guide behaviour. Through this process, less relevant information is suppressed.

References

  1. Cowan (2001)
  2. Atkinson and Shiffrin, 1968
  3. Öğmen, Haluk; Herzog, Michael H. (9 June 2016). "A New Conceptualization of Human Visual Sensory-Memory". Frontiers in Psychology. 7: 830. doi: 10.3389/fpsyg.2016.00830 . PMC   4899472 . PMID   27375519.
  4. Smith, Christine N.; Frascino, Jennifer C.; Hopkins, Ramona O.; Squire, Larry R. (2013). "The nature of anterograde and retrograde memory impairment after damage to the medial temporal lobe". Neuropsychologia. 51 (13): 2709–2714. doi:10.1016/j.neuropsychologia.2013.09.015. PMC   3837701 . PMID   24041667.
  5. Davelaar, E. J.; Goshen-Gottstein, Y.; Haarmann, H. J.; Usher, M.; Usher, M (2005). "The demise of short-term memory revisited: empirical and computational investigation of recency effects". Psychological Review. 112 (1): 3–42. doi:10.1037/0033-295X.112.1.3. PMID   15631586.
  6. Cowan, Nelson (2008), "Chapter 20 What are the differences between long-term, short-term, and working memory?", Essence of Memory, Progress in Brain Research, vol. 169, Elsevier, pp. 323–338, doi:10.1016/s0079-6123(07)00020-9, ISBN   978-0-444-53164-3, PMC   2657600 , PMID   18394484
  7. Brown, G. D. A.; Neath, I.; Chater, N. (2007). "A ratio model of scale-invariant memory and identification". Psychological Review. 114 (3): 539–576. CiteSeerX   10.1.1.530.3006 . doi:10.1037/0033-295X.114.3.539. PMID   17638496.
  8. Tarnow, Eugen (15 September 2008). "Response probability and latency: a straight line, an operational definition of meaning and the structure of short term memory". Cognitive Neurodynamics. 2 (4): 347–353. doi:10.1007/s11571-008-9056-y. PMC   2585621 . PMID   19003463.
  9. Nairne, J. S.; Dutta, A. (1992). "Spatial and temporal uncertainty in long-term memory". Journal of Memory and Language. 31 (3): 396–407. doi:10.1016/0749-596x(92)90020-x.
  10. Bjork, R.A.; Whitten, W.B. (1974). "Recency-sensitive retrieval processes in long-term free recall". Cognitive Psychology. 6 (2): 173–189. doi:10.1016/0010-0285(74)90009-7. hdl: 2027.42/22374 .
  11. Tzeng, O.J.L. (1973). "Positive recency in delayed free recall". Journal of Verbal Learning and Verbal Behavior. 12 (4): 436–439. doi:10.1016/s0022-5371(73)80023-4.
  12. Koppenaal, L; Glanzer, M. (1990). "An examination of the continuous distractor task and the long-term recency effect". Memory & Cognition. 18 (2): 183–195. doi: 10.3758/bf03197094 . PMID   2319960.
  13. 1 2 Neath, I. (1993a). "Contextual and distinctive processes and the serial position function". Journal of Memory and Language. 32 (6): 820–840. doi: 10.1006/jmla.1993.1041 .
  14. Grossberg, S. (1971). "Pavlovian pattern learning by nonlinear neural networks". Proceedings of the National Academy of Sciences. 68 (4): 828–31. Bibcode:1971PNAS...68..828G. doi: 10.1073/pnas.68.4.828 . PMC   389053 . PMID   4323791.
  15. Mongillo, G.; Barak, O.; Tsodyks, M. (2008). "Synaptic theory of working memory". Science. 319 (5869): 1543–6. Bibcode:2008Sci...319.1543M. doi:10.1126/science.1150769. PMID   18339943. S2CID   46288502.
  16. 1 2 Jonides, John; Lewis, Richard L.; Nee, Derek Evan; Lustig, Cindy A.; Berman, Marc G.; Moore, Katherine Sledge (January 2008). "The Mind and Brain of Short-Term Memory". Annual Review of Psychology . 59 (1): 193–224. doi:10.1146/annurev.psych.59.103006.093615. PMC   3971378 . PMID   17854286.
  17. Luck, S. J.; Vogel, E. K. (1997). "The capacity of visual working memory for features and conjunctions". Nature. 390 (6657): 279–281. Bibcode:1997Natur.390..279L. doi:10.1038/36846. PMID   9384378. S2CID   205025290.
  18. Parmentier, F. B. R.; Elford, G.; Maybery, M. (2005). "Transitional information in spatial serial memory: path characteristics affect recall performance". Journal of Experimental Psychology: Learning, Memory, and Cognition. 31 (3): 412–427. doi:10.1037/0278-7393.31.3.412. PMID   15910128.
  19. Russell Revlin (24 February 2012). Cognition: Theory and Practice. Worth Publishers. ISBN   978-0-7167-5667-5.
  20. Cowan N (March 2009). What are the differences between long-term, short-term, and working memory?. Progress in Brain Research. Vol. 169. Prog Brain Res. pp. 323–338. doi:10.1016/S0079-6123(07)00020-9. PMC   2657600 . PMID   18394484.
  21. Lewandowsky, S.; Duncan, M.; Brown, G. D. A. (2004). "Time does not cause forgetting in short-term serial recall". Psychonomic Bulletin & Review. 11 (5): 771–790. doi: 10.3758/BF03196705 . PMID   15732687.
  22. Nairne, J. S. (2002). "Remembering over the short-term: The case against the standard model". Annual Review of Psychology . 53: 53–81. doi:10.1146/annurev.psych.53.100901.135131. PMID   11752479.
  23. Jonides, J.; Lewis, R. L.; Nee, D. E.; Lustig, C. A.; Berman, M. G.; Moore, K. S. (2008). "The mind and brain of short-term memory". Annual Review of Psychology . 59: 193–224. doi:10.1146/annurev.psych.59.103006.093615. PMC   3971378 . PMID   17854286.
  24. Oberauer, K.; Kliegl, R. (2006). "A formal model of capacity limits in working memory". Journal of Memory and Language. 55 (4): 601–626. doi: 10.1016/j.jml.2006.08.009 .
  25. Miller, G. A. (1956). "The magical number seven, plus or minus two: Some limits on our capacity for processing information". Psychological Review. 63 (2): 81–97. CiteSeerX   10.1.1.308.8071 . doi:10.1037/h0043158. PMID   13310704. S2CID   15654531.
  26. Baddeley, Thomson & Buchanan, 1975
  27. Conrad & Hull, 1964
  28. Poirier & Saint-Aubin, 1996
  29. Poirier & Saint-Aubin, 1995
  30. Cowan, N. (2001). "The magical number 4 in short-term memory: A reconsideration of mental storage capacity". Behavioral and Brain Sciences. 24 (1): 97–185. doi: 10.1017/s0140525x01003922 . PMID   11515286.
  31. 1 2 Bays, P. M.; Husain, M. (2008). "Dynamic shifts of limited working memory resources in human vision". Science. 321 (5890): 851–854. Bibcode:2008Sci...321..851B. doi:10.1126/science.1158023. PMC   2532743 . PMID   18687968.
  32. 1 2 Ma, W. J.; Husain, M.; Bays, P. M. (2014). "Changing concepts of working memory". Nature Neuroscience. 17 (3): 347–356. doi:10.1038/nn.3655. PMC   4159388 . PMID   24569831.
  33. Tarnow, (2010). There is no capacity limited buffer in the Murdock (1962) free recall data. Cognitive Neurodynamics
  34. Brady, T. F.; Konkle, T.; Alvarez, G. A. (26 May 2011). "A review of visual memory capacity: Beyond individual items and toward structured representations". Journal of Vision. 11 (5): 4. doi:10.1167/11.5.4. PMC   3405498 . PMID   21617025.
  35. Bays, P. M.; Catalao, R. F. G.; Husain, M. (1 September 2009). "The precision of visual working memory is set by allocation of a shared resource". Journal of Vision. 9 (10): 7.1–11. doi:10.1167/9.10.7. PMC   3118422 . PMID   19810788.
  36. Bays, P. M.; Gorgoraptis, N.; Wee, N.; Marshall, L.; Husain, M. (12 September 2011). "Temporal dynamics of encoding, storage, and reallocation of visual working memory". Journal of Vision. 11 (10): 6. doi:10.1167/11.10.6. PMC   3401684 . PMID   21911739.
  37. R. D. Campbell, Michael Bagshaw. "Human Information Processing". Human Performance and Limitations in Aviation. John Wiley & Sons, 2008. p. 107.
  38. Ericsson, Chase & Faloon, 1980
  39. 1 2 Zokaei, Nahid; Sillence, Annie; Kienast, Annika; Drew, Daniel; Plant, Olivia; Slavkova, Ellie; Manohar, Sanjay G.; Husain, Masud (November 2020). "Different patterns of short-term memory deficit in Alzheimer's disease, Parkinson's disease and subjective cognitive impairment". Cortex. 132: 41–50. doi:10.1016/j.cortex.2020.06.016. PMC   7651994 . PMID   32919108.
  40. Moscou, Kathy; Snipe, Karen (2009). Pharmacology for Pharmacy Technicians. Mosby Elsevier. pp. 165–167. ISBN   978-0-323-04720-3.
  41. Gómez-Pinilla, Fernando (July 2008). "Brain foods: the effects of nutrients on brain function". Nature Reviews. Neuroscience. 9 (7): 568–578. doi:10.1038/nrn2421. PMC   2805706 . PMID   18568016.
  42. Fournet, N.; Roulin, J. Vallet; Beaudoin, M.; Agrigoroaei, S.; Paignon, A.; Dantzer, C.; Descrichard, O. (2012). "Evaluating short-term and working memory in order adults: french normative data". Aging & Mental Health. 16 (7): 922–930. doi:10.1080/13607863.2012.674487. PMID   22533476. S2CID   28301212.
  43. Bender, A.; Naveh-Benjamin, M.; Raz, N. (2010). "Associative deficit in recognition memory in a lifespan sample of Healthy Adults". Psychology and Aging. 25 (4): 940–948. doi:10.1037/a0020595. PMC   3011045 . PMID   20822256.
  44. Chen, T.; Naveh-Benjamin, M. (2012). "Assessing the Associative Deficit of Older adults in long-term and Short-term/working Memory". Psychology and Aging. 27 (3): 666–682. doi:10.1037/a0026943. hdl: 10355/14958 . PMID   22308997.
  45. Costarella, M.; Montelone, L.; Steindler, R.; Zuccaro, S. (2010). "Decline of physical and cognitive conditions in the elderly measured through the functional reach test and the mini-mental state examination". Archives of Gerontology and Geriatrics. 50 (3): 332–337. doi:10.1016/j.archger.2009.05.013. PMID   19545918.
  46. MaDuffie, K.; Atkins, A.; Flegal, K.; Clark, C.; Reuter-Lorenz, P. (2012). "Memory distortion in alzheimer's disease: deficient monitoring of short-term and long-term memory". Neuropsychology. 26 (4): 509–516. doi:10.1037/a0028684. PMC   3389800 . PMID   22746309.
  47. Liang, Yuying; Pertzov, Yoni; Nicholas, Jennifer M.; Henley, Susie M. D.; Crutch, Sebastian; Woodward, Felix; Leung, Kelvin; Fox, Nick C.; Husain, Masud (May 2016). "Visual short-term memory binding deficit in familial Alzheimer's disease". Cortex. 78: 150–164. doi:10.1016/j.cortex.2016.01.015. PMC   4865502 . PMID   27085491.
  48. Zokaei, Nahid; Husain, Masud (2019). "Working Memory in Alzheimer's Disease and Parkinson's Disease". Processes of Visuospatial Attention and Working Memory. Current Topics in Behavioral Neurosciences. Vol. 41. pp. 325–344. doi:10.1007/7854_2019_103. ISBN   978-3-030-31025-7. PMID   31347008. S2CID   198912072.
  49. Jelicic, N.; Cagnin, A.; Meneghello, F.; Turolla, A.; Ermani, M.; Dam, M. (2012). "Effects of Lexical-Semantic treatments on memory in early alzheimers disease". Neurorehabilitation and Neural Repair. 26 (8): 949–956. doi:10.1177/1545968312440146. PMID   22460609. S2CID   206759948.
  50. Kemmerer, David (2014). Cognitive Neuroscience of Language. doi:10.4324/9781315764061. ISBN   978-1-315-76406-1. S2CID   142396490.
  51. Vallar, G.; Corno, M.; Basso, A. (September 1992). "Auditory and visual verbal short-term memory in aphasia". Cortex. 28 (3): 383–389. doi: 10.1016/s0010-9452(13)80148-7 . PMID   1395642. S2CID   4477413.
  52. Vallar, Giuseppe; Di Betta, Anna Maria; Silveri, Maria Caterina (May 1997). "The phonological short-term store-rehearsal system: Patterns of impairment and neural correlates". Neuropsychologia. 35 (6): 795–812. doi:10.1016/s0028-3932(96)00127-3. PMID   9204486. S2CID   41912458.
  53. Meyer, Aaron M.; Snider, Sarah F.; Campbell, Rachael E.; Friedman, Rhonda B. (October 2015). "Phonological short-term memory in logopenic variant primary progressive aphasia and mild Alzheimer's disease". Cortex. 71: 183–189. doi:10.1016/j.cortex.2015.07.003. PMC   4521400 . PMID   26232551.
  54. Jodzio, Krzysztof; Taraszkiewicz, Wioleta (2009). "Short-term memory impairment: evidence from aphasia" (PDF). Psychology of Language and Communication. 3 (2): 39–48. S2CID   51760974.
  55. Greenspan, Wendy; Obermeyer, Jessica; Tucker, Carole A.; Grunwald, Heidi; Reinert, Laura; Martin, Nadine (2020-01-11). "Clinician perspectives on the assessment of short-term memory in aphasia". Aphasiology. 35 (3): 334–356. doi:10.1080/02687038.2020.1712584. ISSN   0268-7038. PMC   8132705 . PMID   34024984.
  56. Landgraf, S.; Steingen, J.; Eppert, J.; Niedermeyer, U.; der Meer, E.; Kruegar, F. (2011). "Temporal information processing in short-and long-term memory of patients with schitzophrenia". PLOS ONE. 6 (10): e26140. Bibcode:2011PLoSO...626140L. doi: 10.1371/journal.pone.0026140 . PMC   3203868 . PMID   22053182.
  57. Amadeo, Maria Bianca; Esposito, Davide; Escelsior, Andrea; Campus, Claudio; Inuggi, Alberto; Pereira Da Silva, Beatriz; Serafini, Gianluca; Amore, Mario; Gori, Monica (12 August 2022). "Time in schizophrenia: a link between psychopathology, psychophysics and technology". Translational Psychiatry. 12 (1): 331. doi:10.1038/s41398-022-02101-x. PMC   9374791 . PMID   35961974.
  58. Landré, Lionel; Destrieux, Christophe; Andersson, Frédéric; Barantin, Laurent; Quidé, Yann; Tapia, Géraldine; Jaafari, Nematollah; Clarys, David; Gaillard, Philippe; Isingrini, Michel; El-Hage, Wissam (February 2012). "Working memory processing of traumatic material in women with post traumatic stress disorder". J Psychiatry Neurosci. 37 (2): 87–94. doi:10.1503/jpn.100167. PMC   3297067 . PMID   21971161.
  59. Emdad, Reza; Söndergaard, Hans Peter (January 2006). "General intelligence and short-term memory impairments in Post Traumatic Stress Disorder patients". Journal of Mental Health. 15 (2): 205–216. doi:10.1080/09638230600608966. S2CID   144833060.

Notes

    Bibliography