Retrieval of attention-dependent long-term memory traces

1999 ◽  
Vol 29 (6) ◽  
pp. 703-709 ◽  
Author(s):  
V. I. Arkhipov
Keyword(s):  
Long Term Memory ◽  
Term Memory ◽  
Memory Traces

Retrieval from Memory or Procedural Strategies for Addition Problems

2011 ◽  
Vol 70 (1) ◽  
pp. 35-39 ◽  
Author(s):  
Muriel Fanget ◽  
Catherine Thevenot ◽  
Caroline Castel ◽  
Michel Fayol
Keyword(s):  
Reaction Times ◽  
Long Term Memory ◽  
Verbal Reports ◽  
Term Memory ◽  
Simple Addition ◽  
Memory Traces ◽  
Addition Problem ◽  
Retrieval From Memory ◽  
Calculation Procedures

In this study, we used a paradigm recently developed ( Thevenot, Fanget, & Fayol, 2007 ) to determine whether 10-year-old children solve simple addition problems by retrieval of the answer from long-term memory or by calculation procedures. Our paradigm is unique in that it does not rely on reaction times or verbal reports, which are known to potentially bias the results, especially in children. Rather, it takes advantage of the fact that calculation procedures degrade the memory traces of the operands, so that it is more difficult to recognize them when they have been involved in the solution of an addition problem by calculation rather than by retrieval. The present study sharpens the current conclusions in the literature and shows that, when the sum of addition problems is up to 10, children mainly use retrieval, but when it is greater than 10, they mainly use calculation procedures.

scholarly journals Deficit of long-term memory traces for words in children with cochlear implants

2020 ◽  
Vol 131 (6) ◽  
pp. 1323-1331
Author(s):  
Long-Long Zhang ◽  
Ya-Qin Zhong ◽  
Jing-Wu Sun ◽  
Lin Chen ◽  
Jia-Qiang Sun ◽  
...  
Keyword(s):  
Cochlear Implants ◽  
Long Term Memory ◽  
Term Memory ◽  
Memory Traces

scholarly journals New Insights on Retrieval-Induced and Ongoing Memory Consolidation: Lessons from Arc

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Jean-Pascal Morin ◽  
Kioko Guzmán-Ramos ◽  
Federico Bermudez-Rattoni
Keyword(s):  
Memory Consolidation ◽  
Memory Formation ◽  
Mammalian Brain ◽  
Long Term Memory ◽  
Term Memory ◽  
Memory Traces ◽  
Initial Acquisition ◽  
Molecular Events ◽  
Trace Model

The mainstream view on the neurobiological mechanisms underlying memory formation states that memory traces reside on the network of cells activated during initial acquisition that becomes active again upon retrieval (reactivation). These activation and reactivation processes have been called “conjunctive trace.” This process implies that singular molecular events must occur during acquisition, strengthening the connection between the implicated cells whose synchronous activity must underlie subsequent reactivations. The strongest experimental support for the conjunctive trace model comes from the study of immediate early genes such as c-fos, zif268, and activity-regulated cytoskeletal-associated protein. The expressions of these genes are reliably induced by behaviorally relevant neuronal activity and their products often play a central role in long-term memory formation. In this review, we propose that the peculiar characteristics of Arc protein, such as its optimal expression after ongoing experience or familiar behavior, together with its versatile and central functions in synaptic plasticity could explain how familiarization and recognition memories are stored and preserved in the mammalian brain.

scholarly journals The road to long-term memory: Top-down attention is more effective than bottom-up attention for forming long-term memories

2021 ◽  
Author(s):  
Edyta Sasin ◽  
Daryl Fougnie
Keyword(s):  
Visual Search ◽  
Attentional Capture ◽  
Long Term Memory ◽  
Top Down ◽  
Bottom Up ◽  
Term Memory ◽  
The Road ◽  
Memory Traces ◽  
Better Than

AbstractDoes the strength of representations in long-term memory (LTM) depend on which type of attention is engaged? We tested participants’ memory for objects seen during visual search. We compared implicit memory for two types of objects—related-context nontargets that grabbed attention because they matched the target defining feature (i.e., color; top-down attention) and salient distractors that captured attention only because they were perceptually distracting (bottom-up attention). In Experiment 1, the salient distractor flickered, while in Experiment 2, the luminance of the salient distractor was alternated. Critically, salient and related-context nontargets produced equivalent attentional capture, yet related-context nontargets were remembered far better than salient distractors (and salient distractors were not remembered better than unrelated distractors). These results suggest that LTM depends not only on the amount of attention but also on the type of attention. Specifically, top-down attention is more effective in promoting the formation of memory traces than bottom-up attention.

scholarly journals Mushroom body-specific profiling of gene expression identifies regulators of long-term memory in Drosophila

2017 ◽  
Author(s):  
Yves F Widmer ◽  
Adem Bilican ◽  
Rémy Bruggmann ◽  
Simon G Sprecher
Keyword(s):  
Gene Expression ◽  
Learning And Memory ◽  
Mushroom Body ◽  
Memory Formation ◽  
Long Term Memory ◽  
Transcriptional Program ◽  
Term Memory ◽  
New Genes ◽  
Memory Traces

AbstractMemory formation is achieved by genetically tightly controlled molecular pathways that result in a change of synaptic strength and synapse organization. While for short-term memory traces rapidly acting biochemical pathways are in place, the formation of long-lasting memories requires changes in the transcriptional program of a cell. Although many genes involved in learning and memory formation have been identified, little is known about the genetic mechanisms required for changing the transcriptional program during different phases of long-term memory formation. With Drosophila melanogaster as a model system we profiled transcriptomic changes in the mushroom body, a memory center in the fly brain, at distinct time intervals during long-term memory formation using the targeted DamID technique. We describe the gene expression profiles during these phases and tested 33 selected candidate genes for deficits in long-term memory formation using RNAi knockdown. We identified 10 genes that enhance or decrease memory when knocked-down in the mushroom body. For vajk-1 and hacd1, the two strongest hits, we gained further support for their crucial role in learning and forgetting. These findings show that profiling gene expression changes in specific cell-types harboring memory traces provides a powerful entry point to identify new genes involved in learning and memory. The presented transcriptomic data may further be used as resource to study genes acting at different memory phases.

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