Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.

Cell assemblies are thought to be the substrate of memory in the brain. Theoretical studies have previously shown that assemblies can be formed in networks with multiple types of plasticity. But how exactly they are formed and how they encode information is yet to be fully understood. One possibilit...

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Autores principales: Júlia V Gallinaro, Claudia Clopath
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/2597f723c5824e3f8c81a25c51cc1f2b
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spelling oai:doaj.org-article:2597f723c5824e3f8c81a25c51cc1f2b2021-12-02T19:58:12ZMemories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.1553-734X1553-735810.1371/journal.pcbi.1009593https://doaj.org/article/2597f723c5824e3f8c81a25c51cc1f2b2021-11-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009593https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Cell assemblies are thought to be the substrate of memory in the brain. Theoretical studies have previously shown that assemblies can be formed in networks with multiple types of plasticity. But how exactly they are formed and how they encode information is yet to be fully understood. One possibility is that memories are stored in silent assemblies. Here we used a computational model to study the formation of silent assemblies in a network of spiking neurons with excitatory and inhibitory plasticity. We found that even though the formed assemblies were silent in terms of mean firing rate, they had an increased coefficient of variation of inter-spike intervals. We also found that this spiking irregularity could be read out with support of short-term plasticity, and that it could contribute to the longevity of memories.Júlia V GallinaroClaudia ClopathPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 11, p e1009593 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Júlia V Gallinaro
Claudia Clopath
Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.
description Cell assemblies are thought to be the substrate of memory in the brain. Theoretical studies have previously shown that assemblies can be formed in networks with multiple types of plasticity. But how exactly they are formed and how they encode information is yet to be fully understood. One possibility is that memories are stored in silent assemblies. Here we used a computational model to study the formation of silent assemblies in a network of spiking neurons with excitatory and inhibitory plasticity. We found that even though the formed assemblies were silent in terms of mean firing rate, they had an increased coefficient of variation of inter-spike intervals. We also found that this spiking irregularity could be read out with support of short-term plasticity, and that it could contribute to the longevity of memories.
format article
author Júlia V Gallinaro
Claudia Clopath
author_facet Júlia V Gallinaro
Claudia Clopath
author_sort Júlia V Gallinaro
title Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.
title_short Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.
title_full Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.
title_fullStr Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.
title_full_unstemmed Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.
title_sort memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/2597f723c5824e3f8c81a25c51cc1f2b
work_keys_str_mv AT juliavgallinaro memoriesinanetworkwithexcitatoryandinhibitoryplasticityareencodedinthespikingirregularity
AT claudiaclopath memoriesinanetworkwithexcitatoryandinhibitoryplasticityareencodedinthespikingirregularity
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