Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.

Receptive fields acquired through unsupervised learning of sparse representations of natural scenes have similar properties to primary visual cortex (V1) simple cell receptive fields. However, what drives in vivo development of receptive fields remains controversial. The strongest evidence for the i...

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Autores principales:	Jonathan J Hunt, Peter Dayan, Geoffrey J Goodhill
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/8d5560bbcdfc4d2f80d6f18bb1b19f32
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spelling	oai:doaj.org-article:8d5560bbcdfc4d2f80d6f18bb1b19f322021-11-18T05:52:10ZSparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.1553-734X1553-735810.1371/journal.pcbi.1003005https://doaj.org/article/8d5560bbcdfc4d2f80d6f18bb1b19f322013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23675290/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Receptive fields acquired through unsupervised learning of sparse representations of natural scenes have similar properties to primary visual cortex (V1) simple cell receptive fields. However, what drives in vivo development of receptive fields remains controversial. The strongest evidence for the importance of sensory experience in visual development comes from receptive field changes in animals reared with abnormal visual input. However, most sparse coding accounts have considered only normal visual input and the development of monocular receptive fields. Here, we applied three sparse coding models to binocular receptive field development across six abnormal rearing conditions. In every condition, the changes in receptive field properties previously observed experimentally were matched to a similar and highly faithful degree by all the models, suggesting that early sensory development can indeed be understood in terms of an impetus towards sparsity. As previously predicted in the literature, we found that asymmetries in inter-ocular correlation across orientations lead to orientation-specific binocular receptive fields. Finally we used our models to design a novel stimulus that, if present during rearing, is predicted by the sparsity principle to lead robustly to radically abnormal receptive fields.Jonathan J HuntPeter DayanGeoffrey J GoodhillPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 9, Iss 5, p e1003005 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Jonathan J Hunt Peter Dayan Geoffrey J Goodhill Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.
description	Receptive fields acquired through unsupervised learning of sparse representations of natural scenes have similar properties to primary visual cortex (V1) simple cell receptive fields. However, what drives in vivo development of receptive fields remains controversial. The strongest evidence for the importance of sensory experience in visual development comes from receptive field changes in animals reared with abnormal visual input. However, most sparse coding accounts have considered only normal visual input and the development of monocular receptive fields. Here, we applied three sparse coding models to binocular receptive field development across six abnormal rearing conditions. In every condition, the changes in receptive field properties previously observed experimentally were matched to a similar and highly faithful degree by all the models, suggesting that early sensory development can indeed be understood in terms of an impetus towards sparsity. As previously predicted in the literature, we found that asymmetries in inter-ocular correlation across orientations lead to orientation-specific binocular receptive fields. Finally we used our models to design a novel stimulus that, if present during rearing, is predicted by the sparsity principle to lead robustly to radically abnormal receptive fields.
format	article
author	Jonathan J Hunt Peter Dayan Geoffrey J Goodhill
author_facet	Jonathan J Hunt Peter Dayan Geoffrey J Goodhill
author_sort	Jonathan J Hunt
title	Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.
title_short	Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.
title_full	Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.
title_fullStr	Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.
title_full_unstemmed	Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.
title_sort	sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/8d5560bbcdfc4d2f80d6f18bb1b19f32
work_keys_str_mv	AT jonathanjhunt sparsecodingcanpredictprimaryvisualcortexreceptivefieldchangesinducedbyabnormalvisualinput AT peterdayan sparsecodingcanpredictprimaryvisualcortexreceptivefieldchangesinducedbyabnormalvisualinput AT geoffreyjgoodhill sparsecodingcanpredictprimaryvisualcortexreceptivefieldchangesinducedbyabnormalvisualinput
_version_	1718424743318650880

Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.

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