A mismatch-based model for memory reconsolidation and extinction in attractor networks.

The processes of memory reconsolidation and extinction have received increasing attention in recent experimental research, as their potential clinical applications begin to be uncovered. A number of studies suggest that amnestic drugs injected after reexposure to a learning context can disrupt eithe...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Remus Osan, Adriano B L Tort, Olavo B Amaral
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/515e1cf3cc984238b7313d25faf077e4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:515e1cf3cc984238b7313d25faf077e4
record_format	dspace
spelling	oai:doaj.org-article:515e1cf3cc984238b7313d25faf077e42021-11-18T06:48:46ZA mismatch-based model for memory reconsolidation and extinction in attractor networks.1932-620310.1371/journal.pone.0023113https://doaj.org/article/515e1cf3cc984238b7313d25faf077e42011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21826231/?tool=EBIhttps://doaj.org/toc/1932-6203The processes of memory reconsolidation and extinction have received increasing attention in recent experimental research, as their potential clinical applications begin to be uncovered. A number of studies suggest that amnestic drugs injected after reexposure to a learning context can disrupt either of the two processes, depending on the behavioral protocol employed. Hypothesizing that reconsolidation represents updating of a memory trace in the hippocampus, while extinction represents formation of a new trace, we have built a neural network model in which either simple retrieval, reconsolidation or extinction of a stored attractor can occur upon contextual reexposure, depending on the similarity between the representations of the original learning and reexposure sessions. This is achieved by assuming that independent mechanisms mediate Hebbian-like synaptic strengthening and mismatch-driven labilization of synaptic changes, with protein synthesis inhibition preferentially affecting the former. Our framework provides a unified mechanistic explanation for experimental data showing (a) the effect of reexposure duration on the occurrence of reconsolidation or extinction and (b) the requirement of memory updating during reexposure to drive reconsolidation.Remus OsanAdriano B L TortOlavo B AmaralPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 8, p e23113 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Remus Osan Adriano B L Tort Olavo B Amaral A mismatch-based model for memory reconsolidation and extinction in attractor networks.
description	The processes of memory reconsolidation and extinction have received increasing attention in recent experimental research, as their potential clinical applications begin to be uncovered. A number of studies suggest that amnestic drugs injected after reexposure to a learning context can disrupt either of the two processes, depending on the behavioral protocol employed. Hypothesizing that reconsolidation represents updating of a memory trace in the hippocampus, while extinction represents formation of a new trace, we have built a neural network model in which either simple retrieval, reconsolidation or extinction of a stored attractor can occur upon contextual reexposure, depending on the similarity between the representations of the original learning and reexposure sessions. This is achieved by assuming that independent mechanisms mediate Hebbian-like synaptic strengthening and mismatch-driven labilization of synaptic changes, with protein synthesis inhibition preferentially affecting the former. Our framework provides a unified mechanistic explanation for experimental data showing (a) the effect of reexposure duration on the occurrence of reconsolidation or extinction and (b) the requirement of memory updating during reexposure to drive reconsolidation.
format	article
author	Remus Osan Adriano B L Tort Olavo B Amaral
author_facet	Remus Osan Adriano B L Tort Olavo B Amaral
author_sort	Remus Osan
title	A mismatch-based model for memory reconsolidation and extinction in attractor networks.
title_short	A mismatch-based model for memory reconsolidation and extinction in attractor networks.
title_full	A mismatch-based model for memory reconsolidation and extinction in attractor networks.
title_fullStr	A mismatch-based model for memory reconsolidation and extinction in attractor networks.
title_full_unstemmed	A mismatch-based model for memory reconsolidation and extinction in attractor networks.
title_sort	mismatch-based model for memory reconsolidation and extinction in attractor networks.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/515e1cf3cc984238b7313d25faf077e4
work_keys_str_mv	AT remusosan amismatchbasedmodelformemoryreconsolidationandextinctioninattractornetworks AT adrianobltort amismatchbasedmodelformemoryreconsolidationandextinctioninattractornetworks AT olavobamaral amismatchbasedmodelformemoryreconsolidationandextinctioninattractornetworks AT remusosan mismatchbasedmodelformemoryreconsolidationandextinctioninattractornetworks AT adrianobltort mismatchbasedmodelformemoryreconsolidationandextinctioninattractornetworks AT olavobamaral mismatchbasedmodelformemoryreconsolidationandextinctioninattractornetworks
_version_	1718424350659444736

A mismatch-based model for memory reconsolidation and extinction in attractor networks.

Ejemplares similares