The Effect of Time in Short-Term Storage (STS) on Subsequent Recall from Long-Term Memory (LTM)

1980 ◽  
Vol 30 (3) ◽  
pp. 349-360
Author(s):  
David J. Skotko ◽  
Daniel L. Rourke
Keyword(s):  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Short Term Storage ◽  
Subsequent Recall ◽  
Term Storage

Working memory retention systems: A state of activated long-term memory

2003 ◽  
Vol 26 (6) ◽  
pp. 709-728 ◽  
Author(s):  
Daniel S. Ruchkin ◽  
Jordan Grafman ◽  
Katherine Cameron ◽  
Rita S. Berndt
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Control Systems ◽  
Short Term Memory ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Short Term Storage ◽  
Term Storage

High temporal resolution event-related brain potential and electroencephalographic coherence studies of the neural substrate of short-term storage in working memory indicate that the sustained coactivation of both prefrontal cortex and the posterior cortical systems that participate in the initial perception and comprehension of the retained information are involved in its storage. These studies further show that short-term storage mechanisms involve an increase in neural synchrony between prefrontal cortex and posterior cortex and the enhanced activation of long-term memory representations of material held in short-term memory. This activation begins during the encoding/comprehension phase and evidently is prolonged into the retention phase by attentional drive from prefrontal cortex control systems. A parsimonious interpretation of these findings is that the long-term memory systems associated with the posterior cortical processors provide the necessary representational basis for working memory, with the property of short-term memory decay being primarily due to the posterior system. In this view, there is no reason to posit specialized neural systems whose functions are limited to those of short-term storage buffers. Prefrontal cortex provides the attentional pointer system for maintaining activation in the appropriate posterior processing systems. Short-term memory capacity and phenomena such as displacement of information in short-term memory are determined by limitations on the number of pointers that can be sustained by the prefrontal control systems.

ROLE AND USAGE OF ICT IN SCHOOL EDUCATION

2017 ◽  
Vol 4 (36) ◽  
Author(s):  
V. Madhavi
Keyword(s):  
Short Term Memory ◽  
School Education ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Long Term Storage ◽  
New Information ◽  
Concrete Form ◽  
Term Storage

When we are working on a computer, the information goes into short term memory. Unless we deliberately save the data onto long term storage, it is lost very quickly. The method we use to save new information that is presented to us determines that we most likely will retrieve it in the future. Similarly the concepts that are explained to the students have to be sent to their long term memory, i.e the abstract has to be made into the concrete form. This is possible by using ICT in classroom situation for making a merry in understanding the concepts if the school education and life. The usage of ICT will not only enhance learning environment but also prepare, next generation for future lives and career as said by Wheeler.

Models versus descriptions: Real differences and language differences

2003 ◽  
Vol 26 (6) ◽  
pp. 753-753 ◽  
Author(s):  
Jeroen G. W. Raaijmakers ◽  
Richard M. Shiffrin
Keyword(s):  
Short Term Memory ◽  
Long Term Memory ◽  
Limited Capacity ◽  
Short Term ◽  
Term Memory ◽  
Language Differences ◽  
Long Term Storage ◽  
Real Model ◽  
Term Storage

We argue that an approach that treats short-term memory as activated long-term memory is not inherently in conflict with information recycling in a limited-capacity or working-memory store, or with long-term storage based on the processing in such a store. Language differences aside, real model differences can only be assessed when the contrasting models are formulated precisely.

Attention-based maintenance of speech forms in memory: The case of verbal transformations

2003 ◽  
Vol 26 (6) ◽  
pp. 728-729 ◽  
Author(s):  
Christian Abry ◽  
Marc Sato ◽  
Jean-Luc Schwartz ◽  
Hélène Loevenbruck ◽  
Marie-Agnès Cathiard
Keyword(s):  
Memory Task ◽  
Memory Systems ◽  
Auditory Imagery ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Term Storage ◽  
Verbal Transformation ◽  
Specific Working

One of the fundamental questions raised by Ruchkin, Grafman, Cameron, and Berndt's (Ruchkin et al.'s) interpretation of no distinct specialized neural networks for short-term storage buffers and long-term memory systems, is that of the link between perception and memory processes. In this framework, we take the opportunity in this commentary to discuss a specific working memory task involving percept formation, temporary retention, auditory imagery, and the attention-based maintenance of information, that is, the verbal transformation effect.

Conceptual short-term memory (CSTM) supports core claims of Christiansen and Chater

2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter
Keyword(s):  
Working Memory ◽  
Rapid Serial Visual Presentation ◽  
Language Comprehension ◽  
Short Term Memory ◽  
Visual Presentation ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Use Of Knowledge

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.

Comparison of Auditory, Language, Memory, and Attention Abilities in Children With and Without Listening Difficulties

2020 ◽  
Vol 29 (4) ◽  
pp. 710-727
Author(s):  
Beula M. Magimairaj ◽  
Naveen K. Nagaraj ◽  
Alexander V. Sergeev ◽  
Natalie J. Benafield
Keyword(s):  
Auditory Processing ◽  
Short Term Memory ◽  
Group Differences ◽  
Long Term Memory ◽  
Short Term ◽  
Significant Group ◽  
Term Memory ◽  
Memory And Attention ◽  
Speed And Accuracy

Objectives School-age children with and without parent-reported listening difficulties (LiD) were compared on auditory processing, language, memory, and attention abilities. The objective was to extend what is known so far in the literature about children with LiD by using multiple measures and selective novel measures across the above areas. Design Twenty-six children who were reported by their parents as having LiD and 26 age-matched typically developing children completed clinical tests of auditory processing and multiple measures of language, attention, and memory. All children had normal-range pure-tone hearing thresholds bilaterally. Group differences were examined. Results In addition to significantly poorer speech-perception-in-noise scores, children with LiD had reduced speed and accuracy of word retrieval from long-term memory, poorer short-term memory, sentence recall, and inferencing ability. Statistically significant group differences were of moderate effect size; however, standard test scores of children with LiD were not clinically poor. No statistically significant group differences were observed in attention, working memory capacity, vocabulary, and nonverbal IQ. Conclusions Mild signal-to-noise ratio loss, as reflected by the group mean of children with LiD, supported the children's functional listening problems. In addition, children's relative weakness in select areas of language performance, short-term memory, and long-term memory lexical retrieval speed and accuracy added to previous research on evidence-based areas that need to be evaluated in children with LiD who almost always have heterogenous profiles. Importantly, the functional difficulties faced by children with LiD in relation to their test results indicated, to some extent, that commonly used assessments may not be adequately capturing the children's listening challenges. Supplemental Material https://doi.org/10.23641/asha.12808607

scholarly journals The influence of aging on short-term and long-term memory in the continuous recognition paradigm.

2002 ◽  
Vol 72 (6) ◽  
pp. 516-521 ◽  
Author(s):  
Osamu Ishihara ◽  
Yasuyuki Gondo ◽  
W. Poon Leonard
Keyword(s):  
Long Term Memory ◽  
Short Term ◽  
Term Memory

scholarly journals An Approach toward the Development of a Functional Encoding Model of Short Term Memory during Reading

1978 ◽  
Vol 10 (2) ◽  
pp. 141-148
Author(s):  
Mary Anne Herndon
Keyword(s):  
Cluster Analysis ◽  
Storage Capacity ◽  
Short Term Memory ◽  
Long Term Memory ◽  
Short Term ◽  
Processing Efficiency ◽  
Term Memory ◽  
Information Unit ◽  
Subsequent Storage

In a model of the functioning of short term memory, the encoding of information for subsequent storage in long term memory is simulated. In the encoding process, semantically equivalent paragraphs are detected for recombination into a macro information unit. This recombination process can be used to relieve the limited storage capacity constraint of short term memory and subsequently increase processing efficiency. The results of the simulation give a favorable indication of the success for the use of cluster analysis as a tool to simulate the encoding function in the detection of semantically similar paragraphs.

scholarly journals Remember like humans

2017 ◽  
Vol 14 (1) ◽  
pp. 172988141769231 ◽  
Author(s):  
Ning An ◽  
Shi-Ying Sun ◽  
Xiao-Guang Zhao ◽  
Zeng-Guang Hou
Keyword(s):  
Short Term Memory ◽  
Three Dimensional ◽  
Sensory Memory ◽  
Long Term Memory ◽  
Observation Model ◽  
Two Dimensional ◽  
Short Term ◽  
Term Memory ◽  
Memory Register

Visual tracking is a challenging computer vision task due to the significant observation changes of the target. By contrast, the tracking task is relatively easy for humans. In this article, we propose a tracker inspired by the cognitive psychological memory mechanism, which decomposes the tracking task into sensory memory register, short-term memory tracker, and long-term memory tracker like humans. The sensory memory register captures information with three-dimensional perception; the short-term memory tracker builds the highly plastic observation model via memory rehearsal; the long-term memory tracker builds the highly stable observation model via memory encoding and retrieval. With the cooperative models, the tracker can easily handle various tracking scenarios. In addition, an appearance-shape learning method is proposed to update the two-dimensional appearance model and three-dimensional shape model appropriately. Extensive experimental results on a large-scale benchmark data set demonstrate that the proposed method outperforms the state-of-the-art two-dimensional and three-dimensional trackers in terms of efficiency, accuracy, and robustness.

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