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An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity
Working memory (WM) is a key component of human memory and cognition. Computational models have been used to study the underlying neural mechanisms, but neglected the important role of short-term memory (STM) and long-term memory (LTM) interactions for WM. Here, we investigate these using a novel mu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189483/ https://www.ncbi.nlm.nih.gov/pubmed/32127347 http://dx.doi.org/10.1523/ENEURO.0374-19.2020 |
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author | Fiebig, Florian Herman, Pawel Lansner, Anders |
author_facet | Fiebig, Florian Herman, Pawel Lansner, Anders |
author_sort | Fiebig, Florian |
collection | PubMed |
description | Working memory (WM) is a key component of human memory and cognition. Computational models have been used to study the underlying neural mechanisms, but neglected the important role of short-term memory (STM) and long-term memory (LTM) interactions for WM. Here, we investigate these using a novel multiarea spiking neural network model of prefrontal cortex (PFC) and two parietotemporal cortical areas based on macaque data. We propose a WM indexing theory that explains how PFC could associate, maintain, and update multimodal LTM representations. Our simulations demonstrate how simultaneous, brief multimodal memory cues could build a temporary joint memory representation as an “index” in PFC by means of fast Hebbian synaptic plasticity. This index can then reactivate spontaneously and thereby also the associated LTM representations. Cueing one LTM item rapidly pattern completes the associated uncued item via PFC. The PFC–STM network updates flexibly as new stimuli arrive, thereby gradually overwriting older representations. |
format | Online Article Text |
id | pubmed-7189483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-71894832020-04-29 An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity Fiebig, Florian Herman, Pawel Lansner, Anders eNeuro Research Article: New Research Working memory (WM) is a key component of human memory and cognition. Computational models have been used to study the underlying neural mechanisms, but neglected the important role of short-term memory (STM) and long-term memory (LTM) interactions for WM. Here, we investigate these using a novel multiarea spiking neural network model of prefrontal cortex (PFC) and two parietotemporal cortical areas based on macaque data. We propose a WM indexing theory that explains how PFC could associate, maintain, and update multimodal LTM representations. Our simulations demonstrate how simultaneous, brief multimodal memory cues could build a temporary joint memory representation as an “index” in PFC by means of fast Hebbian synaptic plasticity. This index can then reactivate spontaneously and thereby also the associated LTM representations. Cueing one LTM item rapidly pattern completes the associated uncued item via PFC. The PFC–STM network updates flexibly as new stimuli arrive, thereby gradually overwriting older representations. Society for Neuroscience 2020-03-19 /pmc/articles/PMC7189483/ /pubmed/32127347 http://dx.doi.org/10.1523/ENEURO.0374-19.2020 Text en Copyright © 2020 Fiebig et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Article: New Research Fiebig, Florian Herman, Pawel Lansner, Anders An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity |
title | An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity |
title_full | An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity |
title_fullStr | An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity |
title_full_unstemmed | An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity |
title_short | An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity |
title_sort | indexing theory for working memory based on fast hebbian plasticity |
topic | Research Article: New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189483/ https://www.ncbi.nlm.nih.gov/pubmed/32127347 http://dx.doi.org/10.1523/ENEURO.0374-19.2020 |
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