Transient cell assembly networks encode stable spatial memories

Abstract One of the mysteries of memory is that it can last despite changes in the underlying synaptic architecture. How can we, for example, maintain an internal spatial map of an environment over months or years when the underlying network is full of transient connections? In the following, we pro...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Andrey Babichev, Yuri Dabaghian
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
Materias:
R
Q
Acceso en línea:https://doaj.org/article/079778c394ad445e8ad4d806d3520a46
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:079778c394ad445e8ad4d806d3520a46
record_format dspace
spelling oai:doaj.org-article:079778c394ad445e8ad4d806d3520a462021-12-02T16:06:18ZTransient cell assembly networks encode stable spatial memories10.1038/s41598-017-03423-32045-2322https://doaj.org/article/079778c394ad445e8ad4d806d3520a462017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03423-3https://doaj.org/toc/2045-2322Abstract One of the mysteries of memory is that it can last despite changes in the underlying synaptic architecture. How can we, for example, maintain an internal spatial map of an environment over months or years when the underlying network is full of transient connections? In the following, we propose a computational model for describing the emergence of the hippocampal cognitive map in a network of transient place cell assemblies and demonstrate, using methods of algebraic topology, how such a network can maintain spatial memory over time.Andrey BabichevYuri DabaghianNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Andrey Babichev
Yuri Dabaghian
Transient cell assembly networks encode stable spatial memories
description Abstract One of the mysteries of memory is that it can last despite changes in the underlying synaptic architecture. How can we, for example, maintain an internal spatial map of an environment over months or years when the underlying network is full of transient connections? In the following, we propose a computational model for describing the emergence of the hippocampal cognitive map in a network of transient place cell assemblies and demonstrate, using methods of algebraic topology, how such a network can maintain spatial memory over time.
format article
author Andrey Babichev
Yuri Dabaghian
author_facet Andrey Babichev
Yuri Dabaghian
author_sort Andrey Babichev
title Transient cell assembly networks encode stable spatial memories
title_short Transient cell assembly networks encode stable spatial memories
title_full Transient cell assembly networks encode stable spatial memories
title_fullStr Transient cell assembly networks encode stable spatial memories
title_full_unstemmed Transient cell assembly networks encode stable spatial memories
title_sort transient cell assembly networks encode stable spatial memories
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/079778c394ad445e8ad4d806d3520a46
work_keys_str_mv AT andreybabichev transientcellassemblynetworksencodestablespatialmemories
AT yuridabaghian transientcellassemblynetworksencodestablespatialmemories
_version_ 1718385005691928576