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Added a section about visual imagery and encoding as well as a section on retreival practice. I also expanded the section introducing the depth of processing and types of encoding. |
Dan Harkless (talk | contribs) m →Intention to Learn: «you learn something incidentally (i.e. without intention to learn) but still process and learn» → «one learns something incidentally (i.e. without intention to learn), but still processes and learns», per WP:MOS. «learnt» → «learned», since this article isn't marked to be written in British English. |
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{{Short description|Biological memory process in organisms}}
{{Use dmy dates|date=
[[Memory]] has the ability to '''encode''', [[Storage (memory)|store]] and [[Recall (memory)|recall]] information. Memories give an organism the capability to learn and adapt from previous experiences as well as build relationships. '''Encoding''' allows a perceived item of use or interest to be converted into a construct that can be stored within the brain and recalled later from [[long-term memory]].<ref name=":7">{{Cite book|title=Cognitive Psychology; Connecting the Mind, Research and Everyday Experience.|last=
==History==
[[File:Ebbinghaus2.jpg|thumb|alt=Hermann Ebbinghaus|Hermann Ebbinghaus (
Encoding is still relatively new and unexplored but the origins of encoding date back to age
During the 1900s, further progress in memory research was made. [[Ivan Pavlov]] began research
In 1932, Frederic Bartlett proposed the idea of mental [[Schema (psychology)|schema]]s. This model proposed that whether new information would be encoded was dependent on its consistency with prior knowledge (mental schemas).<ref name="bartlett32">Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge, England: Cambridge University Press.</ref> This model also suggested that information not present at the time of encoding would be added to memory if it was based on schematic knowledge of the world.<ref name="bartlett32" /> In this way, encoding was found to be influenced by prior knowledge.
With the advance of [[Gestalt psychology|Gestalt theory]] came the realization that memory for encoded information was often perceived as different from the stimuli that triggered it. It was also influenced by the context
With advances in technology, the field of neuropsychology emerged and with it a biological basis for theories of encoding. In 1949, Donald [[Donald O. Hebb|Hebb]] looked at the neuroscience aspect of encoding and stated that "neurons that fire together wire together," implying that encoding occurred as connections between neurons were established through repeated use.
The 1950s and
In 1974, [[Alan Baddeley]] and [[Graham Hitch]] proposed their [[Baddeley's model of working memory|model of working memory]], which consists of the central executive, visuo-spatial sketchpad, and phonological loop as a method of encoding. In 2000, Baddeley added the episodic buffer.<ref name="text" /> Simultaneously [[Endel Tulving]] (1983) proposed the idea of encoding specificity whereby context was again noted as an influence on encoding.
==Types==
There are two main approaches to
There are many types of mental encoding that are used, such as visual, elaborative, organizational, acoustic, and semantic. However, this is not an extensive list.
===Visual
Visual encoding is the process of converting images and visual sensory information to memory stored in the brain. This means that people can convert the new information that they stored into mental pictures (Harrison, C., Semin, A.,(2009). Psychology. New York p. 222) Visual sensory information is temporarily stored within our [[iconic memory]]<ref name="text">Baddeley, A., Eysenck, M.W., & Anderson, M.C. (2009). Memory. London: Psychology Press. p. 27, 44-59</ref> and [[working memory]] before being encoded into permanent long-term storage.<ref name="sperling63">Sperling, G. (1963). A model for visual memory tasks. Human Factors, 5, 19-31.</ref><ref name="sperling67">Sperling, G. (1967). Successive approximations to a model for short term memory. Acta Psychologica, 27, 285-292.</ref> [[Baddeley's model of working memory]] suggests that visual information is stored in the visuo-spatial sketchpad.<ref name="text"/>
The visuo-spatial sketchpad is connected to the central executive, which is a key area of working memory. The [[amygdala]] is another complex structure that has an important role in visual encoding. It accepts visual input in addition to input, from other systems, and encodes the positive or negative values of conditioned stimuli.<ref name="Belova">Belova, M.A., Morrison, S.E., Paton, J.J., & Salzman, C.D. (2006). The primate amygdala represents the positive and negative value of visual stimuli during learning. Nature; 439(7078): 865-870.</ref>
===Elaborative
{{main|Elaborative encoding}}
Elaborative encoding is the process of actively relating new information to knowledge that is already in memory. Memories are a combination of old and new information, so the nature of any particular memory depends as much on the old information already in our memories as it does on the new information coming in through our senses.<ref>{{Cite book|title=An introduction to cognitive psychology : processes and disorders|last=Groome, David, 1946-
===Semantic
Semantic encoding is the processing and encoding of sensory input that has particular meaning or can be applied to a context. Various strategies can be applied such as [[Chunking (psychology)|chunking]] and [[mnemonic]]s to aid in encoding, and in some cases, allow deep processing, and optimizing retrieval.
Words studied in semantic or deep encoding conditions are better recalled as compared to both easy and hard groupings of nonsemantic or shallow encoding conditions with response time being the deciding variable.<ref name="Demb">Demb, JB., Desmond, JE., [[John Gabrieli|Gabrieli, JD.]], [[Gary H. Glover|Glover, GH.]], Vaidya, CJ., & Wagner, AD. Semantic encoding and retrieval in the left inferior prefrontal cortex: a functional MRI study of task difficulty and process specificity. The Journal of Neuroscience; 15, 5870-5878.</ref> [[Brodmann area|Brodmann's areas]] 45, 46, and 47 (the left inferior prefrontal cortex or LIPC) showed significantly more activation during semantic encoding conditions compared to nonsemantic encoding conditions regardless of the difficulty of the nonsemantic encoding task presented. The same area showing increased activation during initial semantic encoding will also display decreasing activation with repetitive semantic encoding of the same words. This suggests the decrease in activation with repetition is process specific occurring when words are semantically reprocessed but not when they are nonsemantically reprocessed.<ref name="Demb" /> Lesion and neuroimaging studies suggest that the [[orbitofrontal cortex]] is responsible for initial encoding and that activity in the left lateral prefrontal cortex correlates with the semantic organization of encoded information.<ref name="Frey, Stephen, and Michael Petrides. 2002">Frey, S., & Petrides, M. (2002). Orbitofrontal cortex and memory formation. Neuron, 36(1), 171-176.</ref>
===Acoustic
Acoustic encoding is the encoding of auditory impulses. According to Baddeley, processing of auditory information is aided by the concept of the phonological loop, which allows input within our echoic memory to be sub vocally rehearsed in order to facilitate remembering.<ref name="text"/>
When we hear any word, we do so by hearing individual sounds, one at a time. Hence the memory of the beginning of a new word is stored in our echoic memory until the whole sound has been perceived and recognized as a word.<ref>{{cite book|last=Carlson and Heth(2010)|title=Psychology the Science of Behaviour 4e|publisher=Pearson Education Canada|
Studies indicate that lexical, semantic and phonological factors interact in verbal working memory. The phonological similarity effect (PSE), is modified by word concreteness. This emphasizes that verbal working memory performance cannot exclusively be attributed to phonological or acoustic representation but also includes an interaction of linguistic representation.<ref name="Acheson">Acheson, D.J., MacDonald, M.C., & Postle, B.R. (2010). The Interaction of Concreteness and Phonological Similarity in Verbal Working Memory. Journal of Experimental Psychogy: Learning, Memory and Cognition; 36:1, 17-36.</ref> What remains to be seen is whether linguistic representation is expressed at the time of recall or whether the representational methods used (such as recordings, videos, symbols, etc.) participate in a more fundamental role in encoding and preservation of information in memory.<ref name="Acheson"/> The brain relies primarily on acoustic
===Other
Tactile encoding is the processing and encoding of how something feels, normally through touch. Neurons in the primary somatosensory cortex (S1) react to vibrotactile stimuli by activating in synchronization with each series of vibrations.<ref name="Crawley">Crawley, AP., Davis, KD., Mikulis. DJ. & Kwan, CL. (1998). Function MRI study of thalamic and cortical activation evoked by cutaneous heat, cold, and tactile stimuli. Journal of Neurophysiology: 80 (3): 1533–46</ref> Odors and tastes may also lead to encode.
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{{main|Long-term potentiation}}
Encoding is a biological event that begins with [[perception]]. All perceived and striking sensations travel to the brain's thalamus where all these sensations are combined into one single experience.<ref name="mohs">Mohs, Richard C. "How Human Memory Works." 8 May 2007. HowStuffWorks.com. <http://health.howstuffworks.com/human-memory.htm>
Encoding is achieved using a combination of chemicals and electricity. Neurotransmitters are released when an electrical pulse crosses the synapse which serves as a connection from nerve cells to other cells. The dendrites receive these impulses with their feathery extensions. A phenomenon called [[long-term potentiation]] allows a synapse to increase strength with increasing numbers of transmitted signals between the two neurons. For that to happen, [[NMDA receptor]], which influences the flow of information between neurons by controlling the initiation of long-term potentiation in most hippocampal pathways, need to come to the play. For these NMDA receptors to be activated, there must be two conditions. Firstly, [[glutamate]] has to be released and bound to the NMDA receptor site on postsynaptic neurons. Secondly, excitation has to take place in postsynaptic neurons.<ref>Schacter, D., Gilbert, D. & Wegner, D.(2011) ''Psychology'', 2nd edition, Chapter 6: Memory, p.232</ref> These cells also organize themselves into groups specializing in different kinds of information processing. Thus, with new experiences the brain creates more connections and may 'rewire'. The brain organizes and reorganizes itself in response to one's experiences, creating new memories prompted by experience, education, or training.<ref name="mohs"/> Therefore, the use of a brain reflects how it is organised.<ref name="mohs"/> This ability to re-organize is especially important if ever a part of the brain becomes damaged. Scientists are unsure of whether the stimuli of what we do not recall are filtered out at the sensory phase or if they are filtered out after the brain examines their significance.<ref name="mohs"/>
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==Molecular Perspective==
The process of encoding is not yet well understood, however key advances have shed light on the nature of these mechanisms. Encoding begins with any novel situation, as the [[brain]] will interact and draw conclusions from the results of this interaction. These learning experiences have been known to trigger a cascade of molecular events leading to the formation of memories.<ref name="wagner">Wagner, M. (2008). The His452Tyr variant of the gene encoding the 5-HT(2a) receptor is specifically associated with consolidation of episodic memory in humans. International Journal of Neuropsychopharmacology, 11, 1163–1167.</ref> These changes include the modification of neural synapses, modification of [[proteins]], creation of new [[synapses]], activation of [[gene expression]] and new [[protein synthesis]]. One study found that high central nervous
===Synaptic Plasticity===
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==Depth of Processing==
Different levels of processing influence how well information is remembered. This idea was first introduced by Craik and Lockhart (1972). They claimed that the level of processing information was dependent upon the depth at which the information was being processed; mainly, shallow processing and deep processing. According to Craik and Lockhart, the encoding of sensory information would be considered shallow processing, as it is highly automatic and requires very little focus. Deeper level processing requires more attention being given to the stimulus and engages more cognitive systems to encode the information. An exception to deep processing is if the individual has been exposed to the stimulus frequently and it has become common in the individual’s life, such as the person’s name.<ref>{{Cite journal|last=Lockhart|first=Robert|date=1990|title=Levels of Processing: A Retrospective Commentary on a Framework for Memory Research|url=http://www.psychologyib.com/uploads/1/1/7/5/11758934/_ib_psychology_-_craik_and_lockhart_1972.pdf|journal=Canadian Journal of Psychology|volume=44|pages=88|doi=10.1037/h0084237}}</ref> These levels of processing can be illustrated by maintenance and elaborate rehearsal.
===Maintenance and Elaborative Rehearsal===
''Maintenance rehearsal'' is a shallow form of processing information which involves focusing on an object without thought to its meaning or its association with other objects. For example, the repetition of a series of numbers is a form of maintenance rehearsal. In contrast, ''elaborative or relational rehearsal'' is a process in which you relate new material to information already stored in Long-term memory. It's a deep form of processing information and involves thought of the object's meaning as well as making connections between the object, past experiences and the other objects of focus. Using the example of numbers, one might associate them with dates that are personally significant such as your parents' birthdays (past experiences) or perhaps you might see a pattern in the numbers that helps you to remember them.<ref name="1973 craik">Craik, F. I. M., & Watkins, M. J. (1973). The role of rehearsal in short-term memory. ''Journal of Verbal Learning and Verbal Behavior'', '''12''' (6), 599–607.</ref>
[[File:US penny 2003.jpg|thumb|alt=|American Penny]]
Due to the deeper level of processing that occurs with elaborative rehearsal it is more effective than maintenance rehearsal in creating new memories.<ref name=" 1973 craik"/> This has been demonstrated in people's lack of knowledge of the details in everyday objects. For example, in one study where Americans were asked about the orientation of the face on their country's penny few recalled this with any degree of certainty. Despite the fact that it is a detail that is often seen, it is not remembered as there is no need to because the color discriminates the penny from other coins.<ref>Nickerson, R. S. (., & Adams, M. J. (1979). Long-term memory for a common object. Cognitive Psychology, 11(3, pp. 287-307)</ref> The ineffectiveness of maintenance rehearsal, simply being repeatedly exposed to an item, in creating memories has also been found in people's
Maintenance rehearsal has been demonstrated to be important in learning but its effects can only be demonstrated using indirect methods such as [[lexical decision task]]s,<ref>Oliphant, G. W. (1983). Repetition and recency effects in word recognition. Australian Journal of Psychology, 35(3), 393-403</ref> and word stem completion<ref>Graf, P., Mandler, G., & Haden, P. E. (1982). Simulating amnesic symptoms in normal subjects. Science, 218(4578), 1243–1244.</ref> which are used to assess implicit learning. In general, however previous learning by maintenance rehearsal is not apparent when memory is being tested directly or explicitly with questions like " Is this the word you were shown earlier?"
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===Intention to Learn===
Studies have shown that the intention to learn has no direct effect on memory encoding. Instead, memory encoding is dependent on how deeply each item is encoded, which could be affected by intention to learn, but not exclusively. That is, intention to learn can lead to more effective learning strategies, and consequently, better memory encoding, but if
The effects of elaborative rehearsal or deep processing can be attributed to the number of connections made while encoding that increase the number of pathways available for retrieval.<ref>Craik, F. I., & Tulving, E. (1975). Depth of processing and the retention of words in episodic memory. Journal of Experimental Psychology: General, 104(3), 268-294.</ref>
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[[Encoding (memory)#Depth of Processing|Depth of processing]] is also related to the organization of information. For example, the connections that are made between the to-be-remembered item, other to-be-remembered items, previous experiences, and context generate retrieval paths for the to-be-remembered item and can act as retrieval cues. These connections create organization on the to-be-remembered item, making it more memorable.<ref>Katona, G. (1940). Organizing and memorizing. New York, NY, US: Columbia University Press.</ref>
===
Another method used to enhance encoding is to associate images with words. Gordon Bower and David Winzenz (1970) demonstrated the use of imagery and encoding in their research while using paired-associate learning. Researchers gave participants a list of 15
===Mnemonics===
{{main|Mnemonics}}
[[File:Rainbow-diagram-ROYGBIV.svg|thumb|alt= Red Orange Yellow Green Blue Indigo Violet|The mnemonic "Roy G. Biv" can be used to remember the colors of the rainbow.]]
When memorizing simple material such as lists of words, mnemonics may be the best strategy, while "material already in long-term store [will be] unaffected".<ref>{{Cite book|url=https://books.google.com/books?id=SVxyXuG73wwC&
===Chunking===
Chunking is a memory strategy used to maximize the amount of information stored in short term memory in order to combine it into small, meaningful sections. By organizing objects into meaningful sections, these sections are then remembered as a unit rather than separate objects. As larger sections are analyzed and connections are made, information is weaved into meaningful associations and combined into fewer, but larger and more significant pieces of information. By doing so, the ability to hold more information in short-term memory increases.<ref name=":6">{{Cite book|last=Goldstein, E. Bruce.|title=Cognitive Psychology : Connecting Mind, Research, and Everyday Experience.|date=2018|publisher=Cengage|isbn=978-1-337-67043-2|edition=5th|___location=Mason OH|oclc=1120695526}}</ref> To be more specific, the use of chunking would increase recall from 5 to 8 items to 20 items or more as associations are made between these items.<ref name=":6" />
Words are an example of chunking, where instead of simply perceiving letters we perceive and remember their meaningful wholes: words. The use of chunking increases the number of items we are able to remember by creating meaningful "packets" in which many related items are stored as one. The use of chunking is also seen in numbers. One of the most common forms of chunking seen on a daily basis is that of phone numbers. Generally speaking, phone numbers are separated into sections. An example of this would be 909 200 5890, in which numbers are grouped together to make up one whole. Grouping numbers in this manner, allows them to be recalled with more facility because of their comprehensible acquaintanceship.<ref>''Tulving, Endel; Craik, Fergus I. M. (5 May 2005
===State-Dependent Learning===
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[[File:Facevase.png|thumb|alt=An ambiguous figure which can be perceived as either a vase or a pair of faces. |Vase or faces?]]
The context of learning shapes how information is encoded.<ref>Tulving, E. (1983). Elements of episodic memory. Oxford, England: Oxford University Press.</ref> For instance,
=== Generation Effect ===
{{main|Generation effect}}
Another principle that may have the potential to aid encoding is the generation effect. The generation effect implies that learning is enhanced when individuals generate information or items themselves rather than reading the content.<ref name=":0">{{Cite journal|last1=McDaniel|first1=Mark A|last2=Waddill|first2=Paula J|last3=Einstein|first3=Gilles O|date=1988|title=A contextual account of the generation effect: A three-factor theory|journal=Journal of Memory and Language|volume=27|issue=5|pages=521–536|doi=10.1016/0749-596x(88)90023-x|issn=0749-596X}}</ref> The key to properly apply the generation effect is to generate information, rather than passively selecting from information already available like in selecting an answer from a multiple-choice question<ref>{{Cite book|last1=Brown|first1=Peter C.|title=Make It Stick|last2=Roediger|first2=Henry L.|last3=McDaniel|first3=Mark A.|date=2014-01-31|publisher=Harvard University Press|isbn=978-0-674-41937-7|___location=Cambridge, MA and London, England|doi=10.4159/9780674419377|s2cid=147985528 }}</ref> In 1978, researchers Slameka and Graf conducted an experiment to better understand this effect.<ref name=":1">{{Cite book|last=Goldstein, E. Bruce, 1941-|title=Cognitive psychology : connecting mind, research and everyday experience|date=2015|publisher=Cengage learning|isbn=978-1-285-76388-0|edition=4th|___location=New york|oclc=885178247}}</ref> In this experiment, the participants were assigned to one of two groups, the ''read group'' or the ''generate group''.<ref name=":1" /> The participants assigned to the ''read'' ''group'' were asked to simply read a list of paired words that were related, for example, horse-saddle.<ref name=":1" /> The participants assigned to the ''generate'' ''group'' were asked to fill in the blank letters of one of the related words in the pair.<ref name=":1" /> In other words, if the participant was given the word ''horse,'' they would need to fill in the last four letters of the word ''saddle''.The researchers discovered that the group that was asked to fill in the blanks had better recall for these word pairs than the group that was asked to simply remember the word pairs.<ref name=":0" />
=== Self-Reference Effect ===
{{main|Self-reference effect}}
Research illustrates that the self-reference effect aids encoding.<ref>{{Cite journal|last=Klein|first=Stanley B.|date=2012-01-30|title=Self, Memory, and the Self-Reference Effect: An Examination of Conceptual and Methodological Issues|journal=Personality and Social Psychology Review|language=en|volume=16|issue=3|pages=283–300|doi=10.1177/1088868311434214|pmid=22291045|s2cid=25305083|issn=1088-8683}}</ref> The [[self-reference effect]] is the idea that individuals will encode information more effectively if they can personally relate to the information.<ref name=":2">{{Cite journal|last1=Kesebir|first1=Selin|last2=Oishi|first2=Shigehiro|date=2010-09-20|title=A Spontaneous Self-Reference Effect in Memory: Why Some Birthdays Are Harder to Remember Than Others|journal=Psychological Science|language=en|volume=21|issue=10|pages=1525–1531|doi=10.1177/0956797610383436|pmid=20855903|s2cid=22859904|issn=0956-7976}}</ref> For example, some people may claim that some birth dates of family members and friends are easier to remember than others. Some researchers claim this may be due to the self-reference effect.<ref name=":2" /> For example, some birth dates are easier for individuals to [[Recall (memory)|recall]] if the date is close to their own birth date or any other dates they deem important, such as anniversary dates.<ref name=":2" />
Research has shown that after being encoded, self-reference effect is more effective when it comes to recalling memory than semantic encoding.<ref name=":8">{{Cite journal|last1=Klein|first1=Stanley B.|last2=Kihlstrom|first2=John F.|date=1986|title=Elaboration, organization, and the self-reference effect in memory.|journal=Journal of Experimental Psychology: General|volume=115|issue=1|pages=26–38|doi=10.1037/0096-3445.115.1.26|pmid=2937872|issn=1939-2222}}</ref>
=== Salience ===
{{main|Salience (language)|Salience (neuroscience)}}
When an item or idea is considered "salient", it means the item or idea appears to noticeably stand out.<ref>{{Cite web|url=http://www.merriam-webster.com|title=Definition of Salient
===
Studies have shown that an effective tool to increase encoding during the process of learning is to create and take practice tests. Using retrieval in order to enhance performance is called the testing effect, as it actively involves creating and recreating the material that one is intending to learn and increases one’s exposure to it. It is also a useful tool in connecting new information to information already stored in memory, as there is a close association between encoding and retrieval. Thus, creating practice tests allows the individual to process the information at a deeper level than simply reading over the material again or using a pre-made test.<ref>{{Cite journal|last=Karpicke|first=Jeffrey D.|date=2012-06-01|title=Retrieval-Based Learning: Active Retrieval Promotes Meaningful Learning
==Computational Models of Memory Encoding==
Computational models of memory encoding have been developed in order to better understand and simulate the mostly expected, yet sometimes wildly unpredictable, behaviors of human memory. Different models have been developed for different memory tasks, which include item recognition, cued recall, free recall, and sequence memory, in an attempt to accurately explain experimentally observed behaviors.
===Item
In item recognition, one is asked whether or not a given probe item has been seen before. It is important to note that the recognition of an item can include context. That is, one can be asked whether an item has been seen in a study list. So even though one may have seen the word "apple" sometime during their life, if it was not on the study list, it should not be recalled.
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===Cued Recall===
In [[Recall (memory)#Cued recall|cued recall]], an individual is presented with a stimulus, such as a list of words and then asked to remember as many of those words as possible. They are then given cues, such as categories, to help them remember what the stimuli were.<ref name=":6" /> An example of this would be to give a subject words such as meteor, star, space ship, and alien to memorize. Then providing them with the cue of
Cued recall can be explained by extending the attribute-similarity model used for item recognition. Because in cued recall, a wrong response can be given for a probe item, the model has to be extended accordingly to account for that. This can be achieved by adding noise to the item vectors when they are stored in the memory matrix. Furthermore, cued recall can be modeled in a probabilistic manner such that for every item stored in the memory matrix, the more similar it is to the probe item, the more likely it is to be recalled. Because the items in the memory matrix contain noise in their values, this model can account for incorrect recalls, such as mistakenly calling a person by the wrong name.
===Free Recall===
In [[free recall]], one is allowed to recall items that were learned in any order. For example, you could be asked to name as many countries in Europe as you can. Free recall can be modeled using [[Semantic memory#Search of Associative Memory
SAM explains both primacy and recency effects. Probabilistically, items at the beginning of the list are more likely to remain in STS, and thus have more opportunities to strengthen their links to other items. As a result, items at the beginning of the list are made more likely to be recalled in a free-recall task (primacy effect). Because of the assumption that items in STS are always available for immediate recall, given that there were no significant distractors between learning and recall, items at the end of the list can be recalled excellently (recency effect).
Studies have shown that free recall is one of the most effective methods of studying and transferring information from short term memory to long term memory compared to item recognition and cued recall as greater relational processing is involved.<ref>{{Cite journal|last1=Rawson|first1=Katherine A.|last2=Zamary|first2=Amanda|date=2019-04-01|title=Why is free recall practice more effective than recognition practice for enhancing memory? Evaluating the relational processing hypothesis|url=http://www.sciencedirect.com/science/article/pii/S0749596X19300026|journal=Journal of Memory and Language|language=en|volume=105|pages=141–152|doi=10.1016/j.jml.2019.01.002|s2cid=149703416 |issn=0749-596X|url-access=subscription}}</ref>
Incidentally, the idea of STS and LTS was motivated by the architecture of computers, which contain short-term and long-term storage.
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Associative chaining theory states that every item in a list is linked to its forward and backward neighbors, with forward links being stronger than backward links, and links to closer neighbors being stronger than links to farther neighbors. For example, associative chaining predicts the tendencies of transposition errors, which occur most often with items in nearby positions. An example of a transposition error would be recalling the sequence "apple, orange, banana" instead of "apple, banana, orange."
Positional [[coding theory]] suggests that every item in a list is associated to its position in the list. For example, if the list is "apple, banana, orange, mango" apple will be associated to list position 1, banana to 2, orange to 3, and mango to 4. Furthermore, each item is also, albeit more weakly, associated to its index +/- 1, even more weakly to +/- 2, and so forth. So banana is associated not only to its actual index 2, but also to 1, 3, and 4, with varying degrees of strength. For example, positional coding can be used to explain the effects of recency and primacy. Because items at the beginning and end of a list have fewer close neighbors compared to items in the middle of the list, they have less competition for correct recall.
Although the models of associative chaining and positional coding are able to explain a great amount of behavior seen for sequence memory, they are far from perfect. For example, neither chaining nor positional coding is able to properly illustrate the details of the [[Ranschburg effect]], which reports that sequences of items that contain repeated items are harder to reproduce than sequences of unrepeated items. Associative chaining predicts that recall of lists containing repeated items is impaired because recall of any repeated item would cue not only its true successor but also the successors of all other instances of the item. However, experimental data have shown that spaced repetition of items resulted in impaired recall of the second occurrence of the repeated item.<ref>Crowder, R. G. (1968). Intraserial repetition effects in immediate memory.
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==References==
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