Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks

Input decorrelation, expansion recoding and sparse activity have been proposed to separate overlapping activity patterns in feedforward networks. Here the authors use reduced and detailed spiking models to elucidate how synaptic connectivity affects the contribution of these mechanisms to pattern se...

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Autores principales:	N. Alex Cayco-Gajic, Claudia Clopath, R. Angus Silver
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/78e100b190774f8594f77d5d611fed7f
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spelling	oai:doaj.org-article:78e100b190774f8594f77d5d611fed7f2021-12-02T17:06:12ZSparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks10.1038/s41467-017-01109-y2041-1723https://doaj.org/article/78e100b190774f8594f77d5d611fed7f2017-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-01109-yhttps://doaj.org/toc/2041-1723Input decorrelation, expansion recoding and sparse activity have been proposed to separate overlapping activity patterns in feedforward networks. Here the authors use reduced and detailed spiking models to elucidate how synaptic connectivity affects the contribution of these mechanisms to pattern separation in cerebellar cortex.N. Alex Cayco-GajicClaudia ClopathR. Angus SilverNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q N. Alex Cayco-Gajic Claudia Clopath R. Angus Silver Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
description	Input decorrelation, expansion recoding and sparse activity have been proposed to separate overlapping activity patterns in feedforward networks. Here the authors use reduced and detailed spiking models to elucidate how synaptic connectivity affects the contribution of these mechanisms to pattern separation in cerebellar cortex.
format	article
author	N. Alex Cayco-Gajic Claudia Clopath R. Angus Silver
author_facet	N. Alex Cayco-Gajic Claudia Clopath R. Angus Silver
author_sort	N. Alex Cayco-Gajic
title	Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
title_short	Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
title_full	Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
title_fullStr	Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
title_full_unstemmed	Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
title_sort	sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/78e100b190774f8594f77d5d611fed7f
work_keys_str_mv	AT nalexcaycogajic sparsesynapticconnectivityisrequiredfordecorrelationandpatternseparationinfeedforwardnetworks AT claudiaclopath sparsesynapticconnectivityisrequiredfordecorrelationandpatternseparationinfeedforwardnetworks AT rangussilver sparsesynapticconnectivityisrequiredfordecorrelationandpatternseparationinfeedforwardnetworks
_version_	1718381682412748800

Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks

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