Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.

A venerable history of classical work on autoassociative memory has significantly shaped our understanding of several features of the hippocampus, and most prominently of its CA3 area, in relation to memory storage and retrieval. However, existing theories of hippocampal memory processing ignore a k...

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Autores principales:	Cristina Savin, Peter Dayan, Máté Lengyel
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/43cfe689b9f74c2d8a419414dc74f4d5
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spelling	oai:doaj.org-article:43cfe689b9f74c2d8a419414dc74f4d52021-11-18T05:53:07ZOptimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.1553-734X1553-735810.1371/journal.pcbi.1003489https://doaj.org/article/43cfe689b9f74c2d8a419414dc74f4d52014-02-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24586137/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358A venerable history of classical work on autoassociative memory has significantly shaped our understanding of several features of the hippocampus, and most prominently of its CA3 area, in relation to memory storage and retrieval. However, existing theories of hippocampal memory processing ignore a key biological constraint affecting memory storage in neural circuits: the bounded dynamical range of synapses. Recent treatments based on the notion of metaplasticity provide a powerful model for individual bounded synapses; however, their implications for the ability of the hippocampus to retrieve memories well and the dynamics of neurons associated with that retrieval are both unknown. Here, we develop a theoretical framework for memory storage and recall with bounded synapses. We formulate the recall of a previously stored pattern from a noisy recall cue and limited-capacity (and therefore lossy) synapses as a probabilistic inference problem, and derive neural dynamics that implement approximate inference algorithms to solve this problem efficiently. In particular, for binary synapses with metaplastic states, we demonstrate for the first time that memories can be efficiently read out with biologically plausible network dynamics that are completely constrained by the synaptic plasticity rule, and the statistics of the stored patterns and of the recall cue. Our theory organises into a coherent framework a wide range of existing data about the regulation of excitability, feedback inhibition, and network oscillations in area CA3, and makes novel and directly testable predictions that can guide future experiments.Cristina SavinPeter DayanMáté LengyelPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 10, Iss 2, p e1003489 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Cristina Savin Peter Dayan Máté Lengyel Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.
description	A venerable history of classical work on autoassociative memory has significantly shaped our understanding of several features of the hippocampus, and most prominently of its CA3 area, in relation to memory storage and retrieval. However, existing theories of hippocampal memory processing ignore a key biological constraint affecting memory storage in neural circuits: the bounded dynamical range of synapses. Recent treatments based on the notion of metaplasticity provide a powerful model for individual bounded synapses; however, their implications for the ability of the hippocampus to retrieve memories well and the dynamics of neurons associated with that retrieval are both unknown. Here, we develop a theoretical framework for memory storage and recall with bounded synapses. We formulate the recall of a previously stored pattern from a noisy recall cue and limited-capacity (and therefore lossy) synapses as a probabilistic inference problem, and derive neural dynamics that implement approximate inference algorithms to solve this problem efficiently. In particular, for binary synapses with metaplastic states, we demonstrate for the first time that memories can be efficiently read out with biologically plausible network dynamics that are completely constrained by the synaptic plasticity rule, and the statistics of the stored patterns and of the recall cue. Our theory organises into a coherent framework a wide range of existing data about the regulation of excitability, feedback inhibition, and network oscillations in area CA3, and makes novel and directly testable predictions that can guide future experiments.
format	article
author	Cristina Savin Peter Dayan Máté Lengyel
author_facet	Cristina Savin Peter Dayan Máté Lengyel
author_sort	Cristina Savin
title	Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.
title_short	Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.
title_full	Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.
title_fullStr	Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.
title_full_unstemmed	Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.
title_sort	optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area ca3.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/43cfe689b9f74c2d8a419414dc74f4d5
work_keys_str_mv	AT cristinasavin optimalrecallfromboundedmetaplasticsynapsespredictingfunctionaladaptationsinhippocampalareaca3 AT peterdayan optimalrecallfromboundedmetaplasticsynapsespredictingfunctionaladaptationsinhippocampalareaca3 AT matelengyel optimalrecallfromboundedmetaplasticsynapsespredictingfunctionaladaptationsinhippocampalareaca3
_version_	1718424661405990912

Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3.

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