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Age-Related Differences in Immediate Serial Recall: Dissociating Chunk Formation and Capacity

Memory and aging

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Dealing with such drastic life changes can therefore leave some people confused or forgetful. While in some cases these feelings may fade, it is important to take these emotional problems seriously. By emotionally supporting a struggling relative and seeking help from a doctor or counselor , the forgetfulness can be improved.

Tests and data show that as people age, the contiguity effect weakens. The supporting research in this test, after controlling for sex, education, and other health-related issues, show that greater age was associated with lower hit and greater false alarm rates, and also a more liberal bias response on recognition tests.

Older people have a higher tendency to make outside intrusions during a memory test. This can be attributed to the inhibition effect. Inhibition caused participants to take longer time in recalling or recognizing an item, and also subjected the participants to make more frequent errors. For instance, in a study using metaphors as the test subject, older participants rejected correct metaphors more often than literally false statements.

Working memory, which as previously stated is a memory system that stores and manipulates information as we complete cognitive tasks, demonstrates great declines during the aging process. There have been various theories offered to explain why these changes may occur, which include fewer attentional resources, slower speed of processing, less capacity to hold information, and lack of inhibitory control.

All of these theories offer strong arguments, and it is likely that the decline in working memory is due to the problems cited in all of these areas. Some theorists argue that the capacity of working memory decreases as we age, and we are able to hold less information.

Another theory that is being examined to explain age related declines in working memory is that there is a limit in attentional resources seen as we age.

This means that older individuals are less capable of dividing their attention between two tasks, and thus tasks with higher attentional demands are more difficult to complete due to a reduction in mental energy.

Working memory tasks often involve divided attention, thus they are more likely to strain the limited resources of aging individuals. Speed of processing is another theory that has been raised to explain working memory deficits.

As a result of various studies he has completed examining this topic, Salthouse argues that as we age our speed of processing information decreases significantly. It is this decrease in processing speed that is then responsible for our inability to use working memory efficiently as we age. As this processing slows, cognitive tasks that rely on quick processing speed then become more difficult. Finally, the theory of inhibitory control has been offered to account for decline seen in working memory.

This theory examines the idea that older adults are unable to suppress irrelevant information in working memory, and thus the capacity for relevant information is subsequently limited. Less space for new stimuli due may attribute to the declines seen in an individual's working memory as they age.

As we age, deficits are seen in the ability to integrate, manipulate, and reorganize the contents of working memory in order to complete higher level cognitive tasks such as problem solving, decision making, goal setting, and planning. More research must be completed in order to determine what the exact cause of these age-related deficits in working memory are.

It is likely that attention, processing speed, capacity reduction, and inhibitory control may all play a role in these age-related deficits. The brain regions that are active during working memory tasks are also being evaluated, and research has shown that different parts of the brain are activated during working memory in younger adults as compared to older adults. This suggests that younger and older adults are performing these tasks differently.

A deficiency of the RbAp48 protein has been associated with age-related memory loss. In , experiments that have tested for the significance of under-performance of memory for an older adult group as compared to a young adult group, hypothesized that the deficit in associate memory due to age can be linked with a physical deficit.

This deficit can be explained by the inefficient processing in the medial-temporal regions. This region is important in episodic memory, which is one of the two types of long-term human memory, and it contains the hippocampi, which are crucial in creating memorial association between items.

Age-related memory loss is believed to originate in the dentate gyrus , whereas Alzheimer's is believed to originate in the entorhinal cortex. Various actions have been suggested to prevent memory loss or even improve memory. The Mayo Clinic has suggested seven steps: Some say that exercise is the best way to prevent memory problems, because that would increase blood flow to the brain and perhaps help new brain cells grow. Donepezil , Galantamine , Rivastigmine , and Tacrine.

These drugs do not forestall the ultimate decline to full Alzheimer's. Also, modality is important in determining the strength of the memory. For instance, auditory creates stronger memory abilities than visual.

This is shown by the higher recency and primacy effects of an auditory recall test compared to that of a visual test. Research has shown that auditory training, through instrumental musical activity or practice, can help preserve memory abilities as one ages. Specifically, in Hanna-Pladdy and McKay's experiment, they tested and found that the number of years of musical training, all things equal, leads to a better performance in non-verbal memory and increases the life span on cognition abilities in one's advanced years.

By keeping the patient active, focusing on their positive abilities, and avoiding stress, these tasks can easily be accomplished. Routines for bathing and dressing must be organized in a way so that the patient still feels a sense of independence. Simple approaches such as finding clothes with large buttons, elastic waist bands, or Velcro straps can ease the struggles of getting dressed in the morning. Further, finances must be managed. Changing passwords to prevent over-use and involving a trusted family member or friend in managing accounts can prevent financial issues.

When household chores begin to pile up, find ways to break down large tasks into small, manageable steps that can be rewarded.

Finally, talking with and visiting a family member or friend with memory issues is very important. Using a respectful and simple approach, talking one-on-one can ease the pain of social isolation and bring much mental stimulation. In contrast, implicit, or procedural memory , typically shows no decline with age. Losing working memory has been cited as being the primary reason for a decline in a variety of cognitive tasks due to aging.

These tasks include long-term memory, problem solving, decision making, and language. For example, the ability of one to recite numbers they have just been given backwards requires working memory, rather than just simple rehearsal of the numbers which would require only short-term memory. One's ability to tap into one's working memory declines as the aging process progresses.

Active reorganization and manipulation of information becomes increasingly harder as adults age. As they age, their ability to multi-task seems to decline; thus after an interruption it is often more difficult for an aging individual to successfully finish the task at hand. There is often a decline in sentence comprehension and sentence production as individuals age. Rather than linking this decline directly to deficits in linguistic ability, it is actually deficits in working memory that contribute to these decreasing language skills.

Most research on memory and aging has focused on how older adults perform worse at a particular memory task. However, researchers have also discovered that simply saying that older adults are doing the same thing, only less of it, is not always accurate.

In some cases, older adults seem to be using different strategies than younger adults. For example, brain imaging studies have revealed that older adults are more likely to use both hemispheres when completing memory tasks than younger adults. From Wikipedia, the free encyclopedia. Performance levels in the control and 0- through 4-pairing conditions were 0. However, both figures also show that the effect of dividing attention was to decrease the primacy effect early serial position performance and increase the recency effect late serial position performance relative to earlier positions in comparison to the other two groups.

The basis of these differences is not entirely clear and will be discussed later, though it should be emphasized that the divided-attention group could use full attention except during the list-presentation phase of the trial, whereas any loss of processing ability due to aging is presumably not similarly restricted to the list-presentation phase.

Proportion correct for each group in each serial position according to strict serial scoring, collapsed across conditions. Error bars are standard errors. Proportion correct in each group in each serial position according to strict serial scoring, separately for each condition graph parameter.

The mean proportions correct using free scoring were 0. Access to a pair of words within a list was judged to have occurred if either or both of the words in the presented pair was recalled. Results of the analysis using strict serial order scoring are illustrated in Figure 3.

The proportion of pairs accessed increased steadily across the control 0. Post-hoc Newman-Keuls tests indicated that the control and 0-pairing conditions both differed from the remaining three conditions, and that the 1-pairing and 4-pairing conditions also differed from one another.

These findings are theoretically important inasmuch as the paired training pertained to the association between items within a pair, not associations between pairs. The only way that access to pairs could be affected by paired training is if the formation of two-item chunks relieved the participant from recalling those two items separately and therefore freed up capacity, allowing access to additional pairs that otherwise would have been forgotten.

Proportion of pairs in a list accessed in each group, according to strict serial scoring, separately for each condition. The proportion of pairs access was 0. Apparently, it is possible to simulate the effect of aging on the access to pairs by dividing attention during the list presentation.

The access to pairs depended on the participant characteristics to the same extent for all training conditions. Across pairing conditions control and 0- to 4-pairing the proportion of pairs accessed was 0. Newman-Keuls tests showed that all conditions differed from one another except for the 2- and 4-pairing conditions. Again, this strengthens the notion that original pair learning freed up capacity. In order to understand these results fully, they have to be examined in the context of pair completion.

Pair completion was measured as the conditional proportion of pairs for which both items were recalled, given that at least one of the two items in a pair was recalled i. Figure 4 shows the results using a strict serial order scoring. For the control and 0- through 4-pairing conditions, the proportions were 0. Newman-Keuls tests showed that the control and 0-pairing conditions differed from all of the other conditions, but that no other conditions differed.

Thus, it took only a single exposure to a pairing in the training condition for a large benefit of pairing to occur, as measured in this manner. Proportion of accessed pairs in a list in each group that were completed, according to strict serial scoring, separately for each condition.

Given that most of the missing data points were in the nonstudied-word control condition, another analysis was conducted using only the 0- through 4-pairing conditions. Each of these was filled with expected means obtained by multiplying the participant average by the condition average and dividing by the grand average. Once more, an analysis based on a free scoring yielded similar effects. Newman-Keuls tests showed that all proportions differed from one another except for the 1- and 2-pairing conditions.

Throughout our analyses, the observed performance levels were diminished when participants were made responsible for the exact serial order of responses. Yet, similar statistical effects related to aging emerged from both strict serial order and free scoring of results.

This similarity seems to suggest that although older adults have trouble forming inter-item associations Naveh-Benjamin, , serial ordering in immediate recall falls in a different domain of skills and is not selectively impaired with aging. This finding warrants further basic research on how serial ordering in immediate recall differs from associative learning. A primary research question is whether the capacity of working memory changes with age, and whether any change with age can be simulated by dividing attention at the time of the list presentation.

Any estimate of capacity depends on some tentative assumptions. Suppose that paired associations acquired before the list recall task are useful for decreasing the working memory load imposed by the list, whereas paired associations formed at the time of the list recall do not reduce the memory load. This supposition seems sensible because any pair learning that occurs on line during the list presentation must require working memory capacity.

One can then estimate the benefit from pair learning in the 0-, 1-, 2-, and 4-pairing conditions as the pair completion score in each of those conditions minus the pair completion score in the 0-pairing condition.

If A i is the proportion of pair access in the i-pairing condition and C i is the conditional proportion of pair completion in that condition given pair access, then the estimate of working memory capacity in chunks in that condition K i is.

An alternative analysis relies on the assumption that pairs recalled in the 0-pairing condition are, in fact, two-word chunks that have formed on line, conserving capacity in the process. Based on either formula, it is possible to obtain an estimate of the average size of the chunk in Condition i S i , expressed in items per chunk:.

The estimate depends on which capacity formula is used and also on whether free or serial scoring of recall is used.

In all likelihood, the truth lies somewhere between the assumptions embodied in Equations 1 and 2. New chunks may be formed sometimes, whereas two items from a pair may be recalled as separate chunks sometimes. However, the mathematical model of Cowan et al. We will see also that the data from the present study looks more orderly with that assumption i. The estimates according to various assumptions, collapsed across the 0- through 4-pairing conditions, are shown in Table 2.

According to all analyses, there was a difference between groups in capacity: In no case did the interaction of group with pairing condition approach significance. These estimates are averaged across the 0-, 1-, 2-, and 4-pairing conditions. Strict-scoring estimates are based on data with several missing cells filled as in the analysis of pair completion scores.

The finding of group differences in chunk size was dependent on the assumptions, however. There is no theoretical reason to believe that dividing attention should increase the chunks size, and therefore these results cast further doubt on the validity of Equation 1 cf. The finding was more reasonable under the assumption that new chunks can form on line Equation 2 ; cf.

Newman-Keuls analyses indicated that all pairs of conditions differed significantly except the 1- and 2-pairing conditions. Newman-Keuls analyses indicated that the 0-pairing condition produced a significantly smaller chunk size than any of the other conditions, which did not differ. This result is entirely parallel to that for pair completion shown in Figure 4 , and probably results from the same aspects of the data.

In sum, the conclusion that chunk capacity is lower in older adults than in younger adults under full attention is firm regardless of the assumptions about whether on-line chunks are formed, and it also seems clear that the effect of aging on chunk capacity is well-simulated by dividing attention at the time of the list presentation in young adults.

The same pattern of results was obtained for both strict serial scoring of the data and free scoring. The conclusions about average chunk size the use of information from paired associations are more situation-dependent. The assumption that no chunks are formed on line in the 0-pairing condition led to the nonsensical result that dividing attention raised chunk size compared to full attention.

With the assumption that new chunks could form on line, the finding was that aging reduces chunk size. The mean chunk size in younger adults with divided attention was intermediate, and not significantly different from the other two groups in most instances.

The cued recall results are shown in Figure 5. One can see a dramatic increase in cued recall across training conditions. Across the control and 0- through 4-pairing conditions the mean proportions correct were 0. Newman-Keuls tests indicated that all values were different from one another except the control and 0-pairing values. Proportion of correct cued recall in each group, separately for each condition.

As Figure 5 also shows, there were important group differences. This also is expected on the supposition that, with more pairings during training, the participant becomes less reliant on pairings that occurred during list recall to assist performance in the subsequent cued recall task. Consequently, older adults fell behind the other groups by the 2-pairing condition. These suggestions based on Figure 5 were statistically supported by simple effects 1-way ANOVAs on individual conditions.

However, Newman-Keuls tests indicated that the basis of this effect changed across conditions. In the 2-pairing condition, it was the older adults who differed from the other two groups, which did not differ from one another.

Last, the cued recall results can be used to assess more closely whether capacity changes with age. The conclusion that chunk capacity is smaller in older adults might be brought into question if their recall of fewer pairs was somehow an indirect consequence of having less information about associations between words in a pair as the ADH predicted.

Although we do not have a direct measure of learning during the training phase, we compared the performance of the 23 older adults with the highest cued recall scores and the 23 younger adults with the lowest such scores.

This makes sense, as cued recall and pair completion should reflect a similar knowledge base related to the amount of training. The present study provides some important clues toward understanding effects of aging on capacity limits in serial recall, given multiple sources of influence including associations between items based on their pairing in a training session and in the lists to be recalled. Key points in the results are as follows:. This divided-attention manipulation provided a reasonably good analogue to the aging process.

In contrast, for the other two groups, the benefit was observed primarily for the first six of eight serial positions Figure 2. Figure 2 also shows that, despite the absence of a difference between pairing conditions in the last few serial positions for older adults, these participants still showed better performance in the last few positions than in previous positions. The explanation for this could be that there are multiple sources of information contributing to performance cf.

Learned associations should improve the abstract code, but only if the associations can be retrieved from long-term memory and maintained in a capacity-limited store i. If the abstract code was impaired for the last few items without similar impairment in the phonological code, then for those items there might be little or no role for associative information from learned pairs.

Theoretically, the aforementioned deficit in older adults absence of training effects at the end of the list could occur because of deficits in the use of associative information either during the presentation of the list or during the recall period. The use of associative information during presentation of the list would help to maintain a learned pair in working memory in its entirety, whereas the use of that information during the recall period would help to restore a word from long-term memory, given retention of the other pair member in working memory.

Results from dividing attention in young adults can help to address the basis of the aging deficit. An attention-demanding type of rehearsal might be needed to reinstate the grouping, from the associative knowledge, during the list presentation. When that reinstatement failed to occur, the participant may not have used the grouping during recall. Although we know of no relevant data to support this interpretation of the aging deficit in list recall, subjective reports of young adults, but not second-grade children, suggest that they remember lists by grouping the items together at the time of their presentation Cowan et al.

Aging participants under a large memory load also may fail to use grouping information. If participants suspected that the pairing within the lists did not always match the pairing within training, then they might have avoided using the pairing information unless they were able to confirm it by attending to it during the list presentation.

That might not have occurred for the last pair in many lists. Alternatively, the demands of list recall may not have left enough attention to reinstate the last pair from long-term memory.

In either case, performance was fairly good for that last pair in all training conditions probably because of available phonological information so it might not make sense to rely on uncertain pairing information at that point in the recall of the list. The two full-attention groups displayed serial position curves with large primacy and smaller recency effects, whereas dividing attention appeared to lower performance in the earlier part of the list more than it lowered performance in the latter part of the list.

An explanation for this pattern of results is that attention was not divided during output. Such retroactive processing may not be possible for items presented earlier in the list. The access to pairs within the list, judged as the recall of at least one member of a pair, increased markedly across training conditions in all groups. The natural interpretation of this finding appears to be that strengthened paired associations allowed participants to use less capacity to retrieve two items in a pair, and freed up some of this capacity to allow access to more pairs.

There is still a great deal that is not known about this effect. We cannot examine response latencies given our use of hand-written responses, but they could carry important information. Inspection of serial positions curves for pair access and pair completion which we have omitted from the results for the sake of simplicity showed that the large primacy effect in the older adults could be attributed mostly to pair access, and not to pair completion.

Therefore, it is possible that older adults delayed the recall of later pairs while trying to complete earlier pairs. In the young adults under full attention, in contrast, both pair access and pair completion were highest in the early list positions, suggesting that responding may have been faster.

Investigation of response latencies should be a high priority for further research. Notably, the group differences in pair access did not change across training conditions Figure 3. If paired associate training related directly to pair access in serial recall, one would have expected that those individuals who were more completely trained the young adults would show larger benefits across training conditions in serial recall than the less-well-trained individuals the older adults because they would have more learned pairs to apply.

However, that does not appear to be the mechanism of pair access. Perhaps the contribution of paired associate training to pair access occurs from retrieval of paired associations on an implicit level of memory at which the older adults are not impaired relative to young adults. This account will be explained further below. The probability of completing a pair, conditional upon access to it, was selectively impaired in older adults and in younger adults under divided attention.

This is what one would expect if pair completion depends on prior paired associate learning, as could occur if this learning allows pairs of items to be combined into two-word chunks in serial recall. For both pair access and pair completion, the same statistical effects emerged no matter whether a strict serial order scoring or a free scoring was used. This suggests that the pair training and chunk capacity had little to do with the correct serial order of recall, which instead might depend primarily on phonological information cf.

Finally, a theoretical analysis of chunk capacity and chunk size further supported the finding that most of the aging difference in serial recall could be modeled by dividing attention at the time of the list presentation, and that the difference emerged primarily as a decrease in the number of chunks recalled, and secondarily as a decrease in the chunk size.

For the number of chunks recalled, the aging effect was clearly simulated by dividing attention in younger adults; for the chunk size, this was less clearly so. The results seem consistent with Taub , who showed age-related differences in chunking, especially when the materials allowed the use of organizational schemes. The present findings on aging effects in immediate serial recall are in line with previous findings on aging effects in long-term learning.

One might have expected this finding to generalize to the creation of inter-item associations in serial recall, and the current results indicate this pattern. One aspect of the data does not seem compatible with the evidence that older adults are deficient in encoding paired associations.

In particular, we would have expected them to benefit to a lesser degree than younger ones from the original paired-associate training in their performance in the serial recall and cued-recall tasks. However, in neither serial recall nor cued recall did we find a pattern of results in which the benefit of paired training increased more across pairing conditions in younger adults than in older adults.

All groups appeared to increase across pairing conditions to a similar degree see Figures 3 — 5. One possible explanation for this result is that paired associations created during the training phase may have been partially used as implicit knowledge in our immediate serial recall and cued-recall tasks. Dividing attention and age may remove the use of explicit knowledge involved in the creation of associations, but not of the implicit use of previously learned associations.

Overall, older adults seem to have a problem in an explicit encoding and retrieval of new associations both in short-and in long-term memory. This is quite similar to the effect size for this same condition in the subsequent cued recall test, which was 0. However, the reliance on previously learned word-to-word associations on an implicit, rather than an explicit, level seems to be relatively intact, and this could explain why all three groups were able to benefit about equally from previously-learned associations in immediate serial recall and in the cued-recall tasks.

Furthermore, it is possible that the ability to retrieve previously learned associations by this group was enhanced by the implicit use of such associations; as mentioned, above, such an ability is not much compromised by divided attention. The difference between older adults and young ones under divided attention may show up when the explicit encoding of associations is required, as shown in previous research e.

In sum, we have shown that it is possible to learn more about age differences in serial recall by applying a perspective in which the focus is on the process of chunking highlighted in the seminal work of Miller , and by considering the process of chunking in comparison to the process of inter-item associations known to be deficient in older adults e. The results suggest that these processes might be partially mediated by the same binding mechanisms in which older adults are deficient.

Interestingly, the present study showed that the ability to create item-temporal context associations might be based on a different mechanism, as age effects in serial recall were comparable using strict serial scoring and free scoring methods. In our task of serial recall of lists comprising only four word pairs, the serial order information may be strongly linked to item information, so that the loss of order information typically is accompanied by omission of the item.

This capacity limit seems smaller in older adults. To explain capacity limits in both age groups, neural modelers have pointed to the possibility that the representations of features bound together to form a chunk of information could be confused with those forming another chunk, if the features of the two chunks were activated too close together in time e.

The present finding of relatively constant capacity for multi-word bindings, as opposed to intra-object feature bindings, may lead to an important extension of this type of model. The finding of separable age differences in capacity, expressed in chunks, and in chunk formation places important constraints on cognitive and developmental theories. We thank Beth Weinhold for data collection. National Center for Biotechnology Information , U.

Author manuscript; available in PMC Oct 1. University of Missouri, Columbia. See other articles in PMC that cite the published article. Abstract We assessed the impact of two hypothesized mechanisms leading to the impaired memory performance of older adults in an immediate serial recall task: Dissociating Chunk Formation and Capacity The decline in memory with old age e.

A Basic Capacity Limit Broadbent argued that there is a basic working memory capacity of three separate items. Chunking A key factor that influences immediate recall is chunking.

Method Participants Of ninety participants, 60 were younger and 30 were older adults. Apparatus, Stimuli and Procedure The apparatus, stimuli and procedure were the same as those of Cowan et al. Table 1 Experimental Conditions. Open in a separate window. Training phase The manipulation used was the presentation method during the training phase.

List-recall phase During the list-recall phase of each trial block, which followed the training phase, 5 lists were presented, each for immediate serial recall.

Cued-recall phase During the cued-recall phase of each trial block, the left-most word in a pair appeared on the screen and the participant was to recall orally the word that had appeared with it during the serial recall phase and, for all but the no-study and 0-pairing conditions, during the training phase also. Results The pattern of results for the three trial blocks was similar in all three groups so, in the analyses to be reported, the data have been collapsed across blocks for simplicity.

List Recall The results are presented here for the overall proportion correct and then for the theoretically derived measures, pair access and pair completion.

Proportion correct An ANOVA of the proportion correct in serial recall using a strict serial order scoring included all three participant groups and within-participant factors of the condition control and 0-, 1-, 2-, and 4-pairing training and serial position within the list Pair access Access to a pair of words within a list was judged to have occurred if either or both of the words in the presented pair was recalled.

Pair completion Pair completion was measured as the conditional proportion of pairs for which both items were recalled, given that at least one of the two items in a pair was recalled i. Serial ordering Throughout our analyses, the observed performance levels were diminished when participants were made responsible for the exact serial order of responses.

Capacity and chunk size analyses A primary research question is whether the capacity of working memory changes with age, and whether any change with age can be simulated by dividing attention at the time of the list presentation. Cued Recall The cued recall results are shown in Figure 5. Discussion The present study provides some important clues toward understanding effects of aging on capacity limits in serial recall, given multiple sources of influence including associations between items based on their pairing in a training session and in the lists to be recalled.

Key points in the results are as follows: Age differences in primary organization or processing variability? An examination of age and primary organization. Are there age differences in chunking?

Journal of Gerontology, Psychological Sciences. Age and ideal chunk size. A production system theory of serial memory. The magic number and the episodic buffer. Behavioral and Brain Sciences. Miyake A, Shah P, editors.

Models of Working Memory: Mechanisms of active maintenance and executive control. Cambridge University Press; Word length and the structure of short-term memory. Bastin C, Van der Linden. The magic number seven after fifteen years. Kennedy A, Wilkes A, editors. Studies in long-term memory. The effects of aging and divided attention on memory for item and associative information. Feature memory and binding in young and older adults.

Chunk limits and length limits in immediate recall: Journal of Experimental Psychology: Learning, Memory, and Cognition. An embedded-processes model of working memory. The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Constant capacity in an immediate serial-recall task: A logical sequel to Miller Psychological Science. Rethinking speed theories of cognitive development: Increasing the rate of recall without affecting accuracy.

Life-Span development of visual working memory: When is feature binding difficult? Journal of Memory and Language. On the transfer of information from temporary to permanent memory. A functional account of age differences in memory. Klix F, Hagendorf H, editors. North-Holland and Elsevier; The handbook of aging and cognition. Divided attention and memory: Impairment of processing or consolidation? Memory, consciousness, and the brain:

Age-Related Differences in Immediate Serial Recall: Dissociating Chunk Formation and Capacity

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Mar 12,  · Does age negatively affect memory? In this study, you will test the short-term memory capacity of different age groups and examine your data to determine if younger people really have a better memory than older people/5().

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Effects of Aging on Memory - Aging causes major cell loss that affects human memory. Learn how memory can decline and how acetylcholine and the hippocampus are affected by aging.

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The question of does your age affect your short term memory may seem odd, but it really is an important question to look at as we get older. Humans have long been wrestling with the aging process attempting to slow it or stop it altogether. Still, even with these subtle changes, most older adults still seem to efficiently acquire new information and park it in long-term memory. And implicit learning - learning without conscious effort - seems to more or less be spared into old age.

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Does Age Affect Memory? Long Term and Short Term Adolesence vs. Adults It has been shown that age is generally a factor of the memory capability of an individual. However there are greater factors in this issue than simply age. Non-age related memory declines are often due to organic reasons, George Miller's Psychological Study to Improve Short-Term Memory How Age Affects Long-Term Memory Related Study.