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

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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Main Authors: N. Alex Cayco-Gajic, Claudia Clopath, R. Angus Silver
Format: Article
Language:English
Published: Nature Publishing Group 2017-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-017-01109-y
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spelling doaj-78e100b190774f8594f77d5d611fed7f2021-05-11T07:31:05ZengNature Publishing GroupNature Communications2041-17232017-10-018111110.1038/s41467-017-01109-ySparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networksN. Alex Cayco-Gajic0Claudia Clopath1R. Angus Silver2Department of Neuroscience, Physiology and Pharmacology, University College LondonBioengineering Department, Imperial College LondonDepartment of Neuroscience, Physiology and Pharmacology, University College LondonInput 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.https://doi.org/10.1038/s41467-017-01109-y
collection DOAJ
language English
format Article
sources DOAJ
author N. Alex Cayco-Gajic
Claudia Clopath
R. Angus Silver
spellingShingle N. Alex Cayco-Gajic
Claudia Clopath
R. Angus Silver
Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
Nature Communications
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 Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2017-10-01
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.
url https://doi.org/10.1038/s41467-017-01109-y
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AT claudiaclopath sparsesynapticconnectivityisrequiredfordecorrelationandpatternseparationinfeedforwardnetworks
AT rangussilver sparsesynapticconnectivityisrequiredfordecorrelationandpatternseparationinfeedforwardnetworks
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