Bayesian integration of information in hippocampal place cells.

Accurate spatial localization requires a mechanism that corrects for errors, which might arise from inaccurate sensory information or neuronal noise. In this paper, we propose that Hippocampal place cells might implement such an error correction mechanism by integrating different sources of informat...

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Autores principales:	Tamas Madl, Stan Franklin, Ke Chen, Daniela Montaldi, Robert Trappl
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c96b3ee0dc614a70a0c9ee01885825cb
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spelling	oai:doaj.org-article:c96b3ee0dc614a70a0c9ee01885825cb2021-11-18T08:29:30ZBayesian integration of information in hippocampal place cells.1932-620310.1371/journal.pone.0089762https://doaj.org/article/c96b3ee0dc614a70a0c9ee01885825cb2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24603429/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Accurate spatial localization requires a mechanism that corrects for errors, which might arise from inaccurate sensory information or neuronal noise. In this paper, we propose that Hippocampal place cells might implement such an error correction mechanism by integrating different sources of information in an approximately Bayes-optimal fashion. We compare the predictions of our model with physiological data from rats. Our results suggest that useful predictions regarding the firing fields of place cells can be made based on a single underlying principle, Bayesian cue integration, and that such predictions are possible using a remarkably small number of model parameters.Tamas MadlStan FranklinKe ChenDaniela MontaldiRobert TrapplPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 3, p e89762 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tamas Madl Stan Franklin Ke Chen Daniela Montaldi Robert Trappl Bayesian integration of information in hippocampal place cells.
description	Accurate spatial localization requires a mechanism that corrects for errors, which might arise from inaccurate sensory information or neuronal noise. In this paper, we propose that Hippocampal place cells might implement such an error correction mechanism by integrating different sources of information in an approximately Bayes-optimal fashion. We compare the predictions of our model with physiological data from rats. Our results suggest that useful predictions regarding the firing fields of place cells can be made based on a single underlying principle, Bayesian cue integration, and that such predictions are possible using a remarkably small number of model parameters.
format	article
author	Tamas Madl Stan Franklin Ke Chen Daniela Montaldi Robert Trappl
author_facet	Tamas Madl Stan Franklin Ke Chen Daniela Montaldi Robert Trappl
author_sort	Tamas Madl
title	Bayesian integration of information in hippocampal place cells.
title_short	Bayesian integration of information in hippocampal place cells.
title_full	Bayesian integration of information in hippocampal place cells.
title_fullStr	Bayesian integration of information in hippocampal place cells.
title_full_unstemmed	Bayesian integration of information in hippocampal place cells.
title_sort	bayesian integration of information in hippocampal place cells.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/c96b3ee0dc614a70a0c9ee01885825cb
work_keys_str_mv	AT tamasmadl bayesianintegrationofinformationinhippocampalplacecells AT stanfranklin bayesianintegrationofinformationinhippocampalplacecells AT kechen bayesianintegrationofinformationinhippocampalplacecells AT danielamontaldi bayesianintegrationofinformationinhippocampalplacecells AT roberttrappl bayesianintegrationofinformationinhippocampalplacecells
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Bayesian integration of information in hippocampal place cells.

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