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Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks

The synaptic-tagging-and-capture (STC) hypothesis formulates that at each synapse the concurrence of a tag with protein synthesis yields the maintenance of changes induced by synaptic plasticity. This hypothesis provides a biological principle underlying the synaptic consolidation of memories that i...

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Autores principales: Luboeinski, Jannik, Tetzlaff, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977149/
https://www.ncbi.nlm.nih.gov/pubmed/33658641
http://dx.doi.org/10.1038/s42003-021-01778-y
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author Luboeinski, Jannik
Tetzlaff, Christian
author_facet Luboeinski, Jannik
Tetzlaff, Christian
author_sort Luboeinski, Jannik
collection PubMed
description The synaptic-tagging-and-capture (STC) hypothesis formulates that at each synapse the concurrence of a tag with protein synthesis yields the maintenance of changes induced by synaptic plasticity. This hypothesis provides a biological principle underlying the synaptic consolidation of memories that is not verified for recurrent neural circuits. We developed a theoretical model integrating the mechanisms underlying the STC hypothesis with calcium-based synaptic plasticity in a recurrent spiking neural network. In the model, calcium-based synaptic plasticity yields the formation of strongly interconnected cell assemblies encoding memories, followed by consolidation through the STC mechanisms. Furthermore, we show for the first time that STC mechanisms modify the storage of memories such that after several hours memory recall is significantly improved. We identify two contributing processes: a merely time-dependent passive improvement, and an active improvement during recall. The described characteristics can provide a new principle for storing information in biological and artificial neural circuits.
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spelling pubmed-79771492021-04-12 Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks Luboeinski, Jannik Tetzlaff, Christian Commun Biol Article The synaptic-tagging-and-capture (STC) hypothesis formulates that at each synapse the concurrence of a tag with protein synthesis yields the maintenance of changes induced by synaptic plasticity. This hypothesis provides a biological principle underlying the synaptic consolidation of memories that is not verified for recurrent neural circuits. We developed a theoretical model integrating the mechanisms underlying the STC hypothesis with calcium-based synaptic plasticity in a recurrent spiking neural network. In the model, calcium-based synaptic plasticity yields the formation of strongly interconnected cell assemblies encoding memories, followed by consolidation through the STC mechanisms. Furthermore, we show for the first time that STC mechanisms modify the storage of memories such that after several hours memory recall is significantly improved. We identify two contributing processes: a merely time-dependent passive improvement, and an active improvement during recall. The described characteristics can provide a new principle for storing information in biological and artificial neural circuits. Nature Publishing Group UK 2021-03-03 /pmc/articles/PMC7977149/ /pubmed/33658641 http://dx.doi.org/10.1038/s42003-021-01778-y Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Luboeinski, Jannik
Tetzlaff, Christian
Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks
title Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks
title_full Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks
title_fullStr Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks
title_full_unstemmed Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks
title_short Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks
title_sort memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977149/
https://www.ncbi.nlm.nih.gov/pubmed/33658641
http://dx.doi.org/10.1038/s42003-021-01778-y
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