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Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation
Systems memory consolidation involves the transfer of memories across brain regions and the transformation of memory content. For example, declarative memories that transiently depend on the hippocampal formation are transformed into long-term memory traces in neocortical networks, and procedural me...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683039/ https://www.ncbi.nlm.nih.gov/pubmed/34874938 http://dx.doi.org/10.1371/journal.pcbi.1009681 |
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author | Remme, Michiel W. H. Bergmann, Urs Alevi, Denis Schreiber, Susanne Sprekeler, Henning Kempter, Richard |
author_facet | Remme, Michiel W. H. Bergmann, Urs Alevi, Denis Schreiber, Susanne Sprekeler, Henning Kempter, Richard |
author_sort | Remme, Michiel W. H. |
collection | PubMed |
description | Systems memory consolidation involves the transfer of memories across brain regions and the transformation of memory content. For example, declarative memories that transiently depend on the hippocampal formation are transformed into long-term memory traces in neocortical networks, and procedural memories are transformed within cortico-striatal networks. These consolidation processes are thought to rely on replay and repetition of recently acquired memories, but the cellular and network mechanisms that mediate the changes of memories are poorly understood. Here, we suggest that systems memory consolidation could arise from Hebbian plasticity in networks with parallel synaptic pathways—two ubiquitous features of neural circuits in the brain. We explore this hypothesis in the context of hippocampus-dependent memories. Using computational models and mathematical analyses, we illustrate how memories are transferred across circuits and discuss why their representations could change. The analyses suggest that Hebbian plasticity mediates consolidation by transferring a linear approximation of a previously acquired memory into a parallel pathway. Our modelling results are further in quantitative agreement with lesion studies in rodents. Moreover, a hierarchical iteration of the mechanism yields power-law forgetting—as observed in psychophysical studies in humans. The predicted circuit mechanism thus bridges spatial scales from single cells to cortical areas and time scales from milliseconds to years. |
format | Online Article Text |
id | pubmed-8683039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-86830392021-12-18 Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation Remme, Michiel W. H. Bergmann, Urs Alevi, Denis Schreiber, Susanne Sprekeler, Henning Kempter, Richard PLoS Comput Biol Research Article Systems memory consolidation involves the transfer of memories across brain regions and the transformation of memory content. For example, declarative memories that transiently depend on the hippocampal formation are transformed into long-term memory traces in neocortical networks, and procedural memories are transformed within cortico-striatal networks. These consolidation processes are thought to rely on replay and repetition of recently acquired memories, but the cellular and network mechanisms that mediate the changes of memories are poorly understood. Here, we suggest that systems memory consolidation could arise from Hebbian plasticity in networks with parallel synaptic pathways—two ubiquitous features of neural circuits in the brain. We explore this hypothesis in the context of hippocampus-dependent memories. Using computational models and mathematical analyses, we illustrate how memories are transferred across circuits and discuss why their representations could change. The analyses suggest that Hebbian plasticity mediates consolidation by transferring a linear approximation of a previously acquired memory into a parallel pathway. Our modelling results are further in quantitative agreement with lesion studies in rodents. Moreover, a hierarchical iteration of the mechanism yields power-law forgetting—as observed in psychophysical studies in humans. The predicted circuit mechanism thus bridges spatial scales from single cells to cortical areas and time scales from milliseconds to years. Public Library of Science 2021-12-07 /pmc/articles/PMC8683039/ /pubmed/34874938 http://dx.doi.org/10.1371/journal.pcbi.1009681 Text en © 2021 Remme et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Remme, Michiel W. H. Bergmann, Urs Alevi, Denis Schreiber, Susanne Sprekeler, Henning Kempter, Richard Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation |
title | Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation |
title_full | Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation |
title_fullStr | Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation |
title_full_unstemmed | Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation |
title_short | Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation |
title_sort | hebbian plasticity in parallel synaptic pathways: a circuit mechanism for systems memory consolidation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683039/ https://www.ncbi.nlm.nih.gov/pubmed/34874938 http://dx.doi.org/10.1371/journal.pcbi.1009681 |
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