Distinct role of flexible and stable encodings in sequential working memory

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The serial-position effect in working memory is considered important for studying how a sequence of sensory information can be retained and manipulated simultaneously in neural memory circuits. Here, via a precise analysis of the primacy and recency effects in human psychophysical experiments, we propose that stable and flexible codings take distinct roles of retaining and updating information in working memory, and that their combination induces serial-position effects spontaneously. We found that stable encoding retains memory to induce the primacy effect, while flexible encoding used for learning new inputs induces the recency effect. A model simulation based on human data, confirmed that a neural network with both flexible and stable synapses could reproduce the major characteristics of serial-position effects. Our new prediction, that the control of resource allocation by flexible-stable coding balance can modulate memory performance in sequence-specific manner, was supported by pre-cued memory performance data in humans. (C) 2019 The Author(s). Published by Elsevier Ltd.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2020-01
Language
English
Article Type
Article
Citation

NEURAL NETWORKS, v.121, pp.419 - 429

ISSN
0893-6080
DOI
10.1016/j.neunet.2019.09.034
URI
http://hdl.handle.net/10203/270744
Appears in Collection
BiS-Journal Papers(저널논문)
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