Innate visual learning through spontaneous activity patterns.

Patterns of spontaneous activity in the developing retina, LGN, and cortex are necessary for the proper development of visual cortex. With these patterns intact, the primary visual cortices of many newborn animals develop properties similar to those of the adult cortex but without the training benef...

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Autores principales:	Mark V Albert, Adam Schnabel, David J Field
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2008
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/8f785cf147b3406ab2a93dd36e162f17
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spelling	oai:doaj.org-article:8f785cf147b3406ab2a93dd36e162f172021-11-25T05:41:12ZInnate visual learning through spontaneous activity patterns.1553-734X1553-735810.1371/journal.pcbi.1000137https://doaj.org/article/8f785cf147b3406ab2a93dd36e162f172008-08-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18670593/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Patterns of spontaneous activity in the developing retina, LGN, and cortex are necessary for the proper development of visual cortex. With these patterns intact, the primary visual cortices of many newborn animals develop properties similar to those of the adult cortex but without the training benefit of visual experience. Previous models have demonstrated how V1 responses can be initialized through mechanisms specific to development and prior to visual experience, such as using axonal guidance cues or relying on simple, pairwise correlations on spontaneous activity with additional developmental constraints. We argue that these spontaneous patterns may be better understood as part of an "innate learning" strategy, which learns similarly on activity both before and during visual experience. With an abstraction of spontaneous activity models, we show how the visual system may be able to bootstrap an efficient code for its natural environment prior to external visual experience, and we continue the same refinement strategy upon natural experience. The patterns are generated through simple, local interactions and contain the same relevant statistical properties of retinal waves and hypothesized waves in the LGN and V1. An efficient encoding of these patterns resembles a sparse coding of natural images by producing neurons with localized, oriented, bandpass structure-the same code found in early visual cortical cells. We address the relevance of higher-order statistical properties of spontaneous activity, how this relates to a system that may adapt similarly on activity prior to and during natural experience, and how these concepts ultimately relate to an efficient coding of our natural world.Mark V AlbertAdam SchnabelDavid J FieldPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 4, Iss 8, p e1000137 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Mark V Albert Adam Schnabel David J Field Innate visual learning through spontaneous activity patterns.
description	Patterns of spontaneous activity in the developing retina, LGN, and cortex are necessary for the proper development of visual cortex. With these patterns intact, the primary visual cortices of many newborn animals develop properties similar to those of the adult cortex but without the training benefit of visual experience. Previous models have demonstrated how V1 responses can be initialized through mechanisms specific to development and prior to visual experience, such as using axonal guidance cues or relying on simple, pairwise correlations on spontaneous activity with additional developmental constraints. We argue that these spontaneous patterns may be better understood as part of an "innate learning" strategy, which learns similarly on activity both before and during visual experience. With an abstraction of spontaneous activity models, we show how the visual system may be able to bootstrap an efficient code for its natural environment prior to external visual experience, and we continue the same refinement strategy upon natural experience. The patterns are generated through simple, local interactions and contain the same relevant statistical properties of retinal waves and hypothesized waves in the LGN and V1. An efficient encoding of these patterns resembles a sparse coding of natural images by producing neurons with localized, oriented, bandpass structure-the same code found in early visual cortical cells. We address the relevance of higher-order statistical properties of spontaneous activity, how this relates to a system that may adapt similarly on activity prior to and during natural experience, and how these concepts ultimately relate to an efficient coding of our natural world.
format	article
author	Mark V Albert Adam Schnabel David J Field
author_facet	Mark V Albert Adam Schnabel David J Field
author_sort	Mark V Albert
title	Innate visual learning through spontaneous activity patterns.
title_short	Innate visual learning through spontaneous activity patterns.
title_full	Innate visual learning through spontaneous activity patterns.
title_fullStr	Innate visual learning through spontaneous activity patterns.
title_full_unstemmed	Innate visual learning through spontaneous activity patterns.
title_sort	innate visual learning through spontaneous activity patterns.
publisher	Public Library of Science (PLoS)
publishDate	2008
url	https://doaj.org/article/8f785cf147b3406ab2a93dd36e162f17
work_keys_str_mv	AT markvalbert innatevisuallearningthroughspontaneousactivitypatterns AT adamschnabel innatevisuallearningthroughspontaneousactivitypatterns AT davidjfield innatevisuallearningthroughspontaneousactivitypatterns
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Innate visual learning through spontaneous activity patterns.

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