Short-term memory

Not to be confused with working memory.

Short-term memory (or "primary" or "active memory") is the capacity for holding, but not manipulating, a small amount of information in mind in an active, readily available state for a short period of time. The duration of short-term memory (when rehearsal or active maintenance is prevented) is believed to be in the order of seconds. The most commonly cited capacity is The Magical Number Seven, Plus or Minus Two (which is frequently referred to as Miller's Law), despite the fact that Miller himself stated that the figure was intended as "little more than a joke" (Miller, 1989, page 401) and that Cowan (2001) provided evidence that a more realistic figure is 4±1. In contrast, long-term memory can hold an indefinite amount of information.

Short-term memory should be distinguished from working memory, which refers to structures and processes used for temporarily storing and manipulating information (see details below).

Existence of a separate store

The idea of the division of memory into short-term and long-term dates back to the 19th century. A classical model of memory developed in the 1960s assumed that all memories pass from a short-term to a long-term store after a small period of time. This model is referred to as the "modal model" and has been most famously detailed by Shiffrin.[1] The exact mechanisms by which this transfer takes place, whether all or only some memories are retained permanently, and indeed the existence of a genuine distinction between the two stores, remain controversial topics among experts.

Evidence

Anterograde amnesia

One form of evidence, cited in favor of the separate 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 intact ability to retain small amounts of information over short time scales (up to 30 seconds) but are dramatically impaired in their ability to form longer-term memories (a famous example is patient HM). This is interpreted as showing that the short-term store is spared from amnesia and other brain diseases.

Distraction tasks

Other evidence comes from experimental studies showing that some manipulations (e.g., a distractor task, such as repeatedly subtracting a single-digit number from a larger number following learning; cf Brown-Peterson procedure) impair memory for the 3 to 5 most recently learned words of a list (it is presumed, still held in short-term memory), while leaving recall for words from earlier in the list (it is presumed, stored in long-term memory) unaffected; other manipulations (e.g., semantic similarity of the words) affect only memory for earlier list words,[2] but do not affect memory for the last few words in a list. 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-term and long-term memory are separate systems. Some theorists propose that memory is unitary over all time scales, from milliseconds to years.[3] Support for the unitary memory hypothesis comes from the fact that it has been difficult to demarcate a clear boundary between short-term and long-term memory. For instance, Tarnow shows that the recall probability vs. latency curve is a straight line from 6 to 600 seconds (ten minutes), with the probability of failure to recall only saturating after 600 seconds.[4] If there were really two different memory stores operating in this time frame, one could expect a discontinuity in this curve. Other research has shown that the detailed pattern of recall errors looks remarkably similar for recall of a list immediately after learning (it is presumed, from short-term memory) and recall after 24 hours (necessarily from long-term memory).[5]

Further evidence against the existence of a short-term memory store comes from experiments involving continual distractor tasks. In 1974, Robert Bjork and William B. Whitten presented subjects with word pairs to be remembered; however, before and after each word pair, subjects had to do a simple multiplication task for 12 seconds. After the final word-pair, subjects had to do the multiplication distractor task for 20 seconds. In their results, Bjork and Whitten found 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) still remained. These results would seem inconsistent with the idea of short-term memory as the distractor items would have taken the place of some of the word-pairs in the buffer, thereby weakening the associated strength of the items in long-term memory. Bjork and Whitten hypothesized that these results could be attributed to the memory processes at work for long-term memory retrieval versus short-term memory retrieval.[6]

Ovid J.L. Tzeng (1973) also found an instance where the recency effect in free recall did not seem to result from the function of 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 from the list as possible. After free-recall of the fourth list, participants were asked to free recall items from all four lists. Both the initial free recall and the final free recall showed a recency effect. These results went against the predictions of a short-term memory model, where no recency effect would be expected in either initial or final free recall.[7]

Koppenaal and Glanzer (1990) attempted to explain these phenomena as a result of the subjects' adaptation to the distractor task, which therefore allowed them to preserve at least some of the functions of the short-term memory store. As evidence, they provided the results of their experiment, in which the long-term recency effect disappeared when the distractor after the last item differed from the distractors that preceded and followed all 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 item to be studied. According to Koppenaal's and Glanzer's theory, there should be no recency effect as subjects would not have had time to adapt to the distractor; yet such a recency effect remained in place in the experiment.[8]

Another explanation

One proposed explanation of the existence of the recency effect in a continual distractor condition, and the disappearance of it in an end-only distractor task is the influence of contextual and distinctive processes.[9] According to this model, recency is a result of the final items' processing context being similar to the processing context of the other items and the distinctive position of the final items versus items in the middle of the list. In the end distractor task, the processing context of the final items is no longer similar to the processing context of the other list items. At the same time, retrieval cues for these items are no longer as effective as without the distractor. Therefore, the recency effect recedes or vanishes. However, when distractor tasks are placed before and after each item, the recency effect returns, because all the list items once again have similar processing context.[9]

Biological basis

Synaptic theory

Various researchers have proposed that stimuli are coded in short-term memory using transmitter depletion.[10][11] 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 in their store are depleted and this pattern of depletion is iconic, representing 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 the levels that existed prior to stimulus presentation.

Relationship with working memory

The relationship between short-term memory and working memory is described differently by various theories, but it is generally acknowledged that the two concepts are distinct. Working memory is a theoretical framework that refers to structures and processes used for temporarily storing and manipulating information. As such, working memory might also be referred to as working attention. Working memory and attention together play a major role in the processes of thinking. Short-term memory in general refers, in a theory-neutral manner, to the short-term storage of information, and it does not entail the manipulation or organization of material held in memory. Thus, while there are short-term memory components to working memory models, the concept of short-term memory is distinct from these more hypothetical concepts. Within Baddeley's influential 1986 model of working memory there are two short-term storage mechanisms: the phonological loop and the visuospatial sketchpad. Most of the research referred to here involves the phonological loop, because most of the work done on short-term memory has used verbal material. Since the 1990s, however, there has been a surge in research on visual short-term memory,[12] and also increasing work on spatial short-term memory.[13]

Duration

The limited duration of short-term memory (~18 seconds without a form of memory rehearsal[14]) quickly suggests that its contents spontaneously decay over time. The decay assumption is part of many theories of short-term memory, the most notable one being Baddeley's model of working memory. The decay assumption is usually paired with the idea of rapid covert rehearsal: In order to overcome the limitation of short-term memory, and retain information for longer, information must be periodically repeated or rehearsed — either by articulating it out loud or by mentally simulating such articulation. In this way, the information will re-enter the short-term store and be retained for a further period.

Several researchers, however, dispute that spontaneous decay plays any significant role in forgetting over the short-term,[15][16] and the evidence is far from conclusive.[17]

Authors doubting that decay causes forgetting from short-term memory often offer as an alternative some form of interference: When several elements (such as digits, words, or pictures) are held in short-term memory simultaneously, their representations compete with each other for recall, or degrade each other. Thereby, new content gradually pushes out older content, unless the older content is actively protected against interference by rehearsal or by directing attention to it.[18]

Capacity

Whatever the cause or causes of forgetting over the short-term may be, there is consensus that it severely limits the amount of new information that we can retain over brief periods of time. This limit is referred to as the finite capacity of short-term memory. The capacity of short-term memory is often called memory span, in reference to a common procedure of measuring it. In a memory span test, the experimenter presents lists 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 at least half of all trials.

In an early and highly influential article, The Magical Number Seven, Plus or Minus Two,[19] the psychologist George Miller suggested that human short-term memory has a forward memory span of approximately seven items plus or minus two and that that was well known at the time (it seems to go back to the 19th-century researcher Wundt). More recent research has shown that this "magical number seven" is roughly accurate for college students recalling lists of digits, but memory span varies widely with populations tested and with material used. For example, the ability to recall words in order depends on a number of characteristics of these words: fewer words can be recalled when the words have longer spoken duration; this is known as the word-length effect,[20] or when their speech sounds are similar to each other; this is called the phonological similarity effect.[21] More words can be recalled when the words are highly familiar or occur frequently in the language.[22] Recall performance is also better when all of the words in a list are taken from a single semantic category (such as games) than when the words are taken from different categories.[23] A more up-to-date estimate of short-term memory capacity is about four pieces or "chunks" of information.[24] However other prominent theories of short-term memory capacity argue against measuring capacity in terms of a fixed number of elements.[25][26][27]

Rehearsal

Rehearsal is the process where information is kept in short-term memory by mentally repeating it. When the information is repeated each time, that information is reentered into the short-term memory, thus keeping that information for another 10 to 20 seconds (the average storage time for short-term memory).[28]

Chunking

Chunking is a process by which one can expand his/her ability to remember things in the short term. Chunking is also a process by which a person organizes material into meaningful groups. Although the average person may retain only about four different units in short-term memory, chunking can greatly increase a person's recall capacity. For example, in recalling a phone number, the 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 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 one's ability to use 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 different running times (e.g., the first four numbers were 1518, a three-mile time.)[29]

Factors affecting

It is very difficult to demonstrate the exact capacity of short-term memory (STM) because it will vary depending on the nature of the material to be recalled. There is currently no way of defining the basic unit of information to be stored in the STM store. It is also possible that STM is not the store described by Atkinson and Shiffrin. In that case, the task of defining the task of STM becomes even more difficult.

However, capacity of STM can be affected by the following: Influence of long-term memory, Reading aloud, Pronunciation time and Individual differences.

Diseases that cause neurodegeneration, such as Alzheimer's disease can also be a factor in a person's short-term and eventually long-term memory. Damage to certain sections of the brain due to this disease causes a shrinkage in the cerebral cortex which disables the ability to think and recall memories.[30]

Conditions

Memory loss is a natural process in aging. One study investigated whether or not there were deficits in short-term memory in older adults. This was a previous study which compiled normative French data for three short-term memory tasks (Verbal, visual and spatial). They found impairments present in participants between the ages of 55 and 85 years of age.[31]

Alzheimer's disease

Memory distortion in Alzheimer's disease is a very common disorder found in older adults. Performance of patients with mild to moderate Alzheimer's disease was compared with the performance of age matched healthy adults.[32] Researchers concluded the study with findings that showed reduced short-term memory recall for Alzheimer's patients. 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.[33] They found that with Lexical-Semantic stimulation treatment may improve episodic memory in Alzheimer's Disease patients. It could also be regarded as a clinical option to counteract the cognitive decline typical of the disease

Aphasia

Aphasias are also seen in many elder adults. Aphasias are responsible for many sentence comprehension deficits.[34] Many language-impaired patients make several complaints about short-term memory deficits, with several family members confirming that patients have trouble recalling previously known names and events. The opinion is supported by many studies showing that many aphasics also have trouble with visual-memory required tasks.[35]

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.[36] In this study, results confirm that cognitive dysfunctions are a major deficit in patients with schizophrenia. The study provided evidence that patients with schizophrenia process temporal information inefficiently.

Advanced age

Advanced age is associated with decrements in episodic memory. The associative deficit is in which age differences in recognition memory reflect difficulty in binding components of a memory episode and bound units.[37] A previous study used mixed and blocked test designs to examine deficits in short-term memory of older adults and found there was an associative deficit for older adults.[38] This study along with many other previous studies, continue to build evidence of deficits found in older adults short-term memory.

Even when neurological diseases and disorders are not present, there is a progressive and gradual loss of some intellectual functions that become evident in later years. There are several tests used to examine the psychophysical characteristics of the elderly and of them, a well suitable test would be the functional reach (FR) test, and the mini–mental state examination (MMSE). The FR test is an index of the aptitude to maintain balance in an upright position and the MMSE test is a global index of cognitive abilities. These tests were both used by Costarella et al.[39] 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).

Post traumatic stress disorder

Post traumatic stress disorder (PTSD) is associated with altered processing of emotional material with a strong attentional bias toward trauma-related information and interferes with cognitive processing. Aside from trauma processing specificities, a wide range of cognitive impairments have been related to PTSD state with predominant attention and verbal memory deficits.[40]

Intelligence

There have been few studies done on the relationship between short-term memory and intelligence in PTSD. However,[41] 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.

Measuring digit span and short term-memory

There are many tests to measure digit span and short term visual memory, some paper- and some computer-based, including the following:

  1. Digit Span Test by Cambridge Brain Sciences.[42]
  2. Digit Span and Backwards Digit Span implemented in Wechsler Adult Intelligence Scale.
  3. Memory Game implemented in Mental Attributes Profiling System[43]

See also

References

Notes

  1. ↑ Atkinson and Shiffrin, 1968
  2. ↑ 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.
  3. ↑ Brown, G. D. A.; Neath, I.; Chater, N. (2007). "A ratio model of scale-invariant memory and identification". Psychological Review. 114 (3): 539–576. doi:10.1037/0033-295X.114.3.539. PMID 17638496.
  4. ↑ Tarnow, Eugen (2007). Properties of the Short Term Memory Structure
  5. ↑ 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.
  6. ↑ 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.
  7. ↑ 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.
  8. ↑ 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.
  9. 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.
  10. ↑ 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 389053Freely accessible. PMID 4323791.
  11. ↑ 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.
  12. ↑ 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.
  13. ↑ 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.
  14. ↑ Russell Revlin (24 February 2012). Cognition: Theory and Practice. Worth Publishers. ISBN 978-0-7167-5667-5.
  15. ↑ 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.
  16. ↑ 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.
  17. ↑ 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 3971378Freely accessible. PMID 17854286.
  18. ↑ 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.
  19. ↑ Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.
  20. ↑ Baddeley, Thomson & Buchanan, 1975
  21. ↑ Conrad & Hull, 1964
  22. ↑ Poirier & Saint-Aubin, 1996
  23. ↑ Poirier & Saint-Aubin, 1995
  24. ↑ Cowan, N. (2001). "The magical number 4 in short-term memory: A reconsideration of mental storage capacity". Behavioral and Brain Sciences. 24: 97–185. doi:10.1017/s0140525x01003922.
  25. ↑ Bays, P. M.; Husain, M. (2008). "Dynamic shifts of limited working memory resources in human vision". Science. 321: 851–854. doi:10.1126/science.1158023.
  26. ↑ 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.
  27. ↑ Tarnow, (2010). There is no capacity limited buffer in the Murdock (1962) free recall data. Cognitive Neurodynamics
  28. ↑ R. D. Campbell, Michael Bagshaw. "Human Information Processing". Human Performance and Limitations in Aviation. John Wiley & Sons, 2008. p. 107.
  29. ↑ Ericsson, Chase & Faloon, 1980
  30. ↑ Moscou, Kathy; Snipe, Karen (2009). Pharmacology for Pharmacy Technicians. Mosby Elsevier. pp. 165–167. ISBN 978-0-323-04720-3.
  31. ↑ 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.
  32. ↑ 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), pp. 509-516. Doi: 10.1037/a0028684/
  33. ↑ 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.
  34. ↑ Salis, C., (2012)
  35. ↑ KRZYSZTOF JODZIO, WIOLETA TARASZKIEWICZ,"SHORT-TERM MEMORY IMPAIRMENT: EVIDENCE FROM APHASIA", Psychology of Language and Communication 1999, Vol. 3. No. 2, 1999
  36. ↑ 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.
  37. ↑ Bender, A., Naveh-Benjamin, M., Raz, N. (2010). Associative deficit in recognition memory in a lifespan sample of Healthy Adults. Psychology and Aging, 05(4), pp. 940-948. Doi: 10.1037/a0020595/
  38. ↑ 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. PMID 22308997.
  39. ↑ 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.
  40. ↑ 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 3297067Freely accessible. PMID 21971161.
  41. ↑ Emdad, R.; Sondergaard, P. (2006). "General intelligence and short-term memory impairments in post traumatic stress disorder patients". Journal of mental health. 09638230600608966.
  42. ↑ Digit Span test by Cambridge Brain Sciences
  43. ↑ Mental Attributes Profiling System.

Bibliography

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