The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.

Throughout the central nervous system, the timescale over which pairs of neural spike trains are correlated is shaped by stimulus structure and behavioral context. Such shaping is thought to underlie important changes in the neural code, but the neural circuitry responsible is largely unknown. In th...

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Autores principales:	Ashok Litwin-Kumar, Maurice J Chacron, Brent Doiron
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b2cb9ed58f3d49688d1b7bc9ff9096c6
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spelling	oai:doaj.org-article:b2cb9ed58f3d49688d1b7bc9ff9096c62021-11-18T05:51:00ZThe spatial structure of stimuli shapes the timescale of correlations in population spiking activity.1553-734X1553-735810.1371/journal.pcbi.1002667https://doaj.org/article/b2cb9ed58f3d49688d1b7bc9ff9096c62012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23028274/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Throughout the central nervous system, the timescale over which pairs of neural spike trains are correlated is shaped by stimulus structure and behavioral context. Such shaping is thought to underlie important changes in the neural code, but the neural circuitry responsible is largely unknown. In this study, we investigate a stimulus-induced shaping of pairwise spike train correlations in the electrosensory system of weakly electric fish. Simultaneous single unit recordings of principal electrosensory cells show that an increase in the spatial extent of stimuli increases correlations at short (≈ 10 ms) timescales while simultaneously reducing correlations at long (≈ 100 ms) timescales. A spiking network model of the first two stages of electrosensory processing replicates this correlation shaping, under the assumptions that spatially broad stimuli both saturate feedforward afferent input and recruit an open-loop inhibitory feedback pathway. Our model predictions are experimentally verified using both the natural heterogeneity of the electrosensory system and pharmacological blockade of descending feedback projections. For weak stimuli, linear response analysis of the spiking network shows that the reduction of long timescale correlation for spatially broad stimuli is similar to correlation cancellation mechanisms previously suggested to be operative in mammalian cortex. The mechanism for correlation shaping supports population-level filtering of irrelevant distractor stimuli, thereby enhancing the population response to relevant prey and conspecific communication inputs.Ashok Litwin-KumarMaurice J ChacronBrent DoironPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 8, Iss 9, p e1002667 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Ashok Litwin-Kumar Maurice J Chacron Brent Doiron The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.
description	Throughout the central nervous system, the timescale over which pairs of neural spike trains are correlated is shaped by stimulus structure and behavioral context. Such shaping is thought to underlie important changes in the neural code, but the neural circuitry responsible is largely unknown. In this study, we investigate a stimulus-induced shaping of pairwise spike train correlations in the electrosensory system of weakly electric fish. Simultaneous single unit recordings of principal electrosensory cells show that an increase in the spatial extent of stimuli increases correlations at short (≈ 10 ms) timescales while simultaneously reducing correlations at long (≈ 100 ms) timescales. A spiking network model of the first two stages of electrosensory processing replicates this correlation shaping, under the assumptions that spatially broad stimuli both saturate feedforward afferent input and recruit an open-loop inhibitory feedback pathway. Our model predictions are experimentally verified using both the natural heterogeneity of the electrosensory system and pharmacological blockade of descending feedback projections. For weak stimuli, linear response analysis of the spiking network shows that the reduction of long timescale correlation for spatially broad stimuli is similar to correlation cancellation mechanisms previously suggested to be operative in mammalian cortex. The mechanism for correlation shaping supports population-level filtering of irrelevant distractor stimuli, thereby enhancing the population response to relevant prey and conspecific communication inputs.
format	article
author	Ashok Litwin-Kumar Maurice J Chacron Brent Doiron
author_facet	Ashok Litwin-Kumar Maurice J Chacron Brent Doiron
author_sort	Ashok Litwin-Kumar
title	The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.
title_short	The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.
title_full	The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.
title_fullStr	The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.
title_full_unstemmed	The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.
title_sort	spatial structure of stimuli shapes the timescale of correlations in population spiking activity.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/b2cb9ed58f3d49688d1b7bc9ff9096c6
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The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.

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