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  Population code in mouse V1 facilitates readout of natural scenes through increased sparseness

Froudarakis, E., Berens, P., Ecker, A., Cotton, R., Sinz, F., Yatsenko, D., et al. (2014). Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience, 17(6), 851-857. doi:10.1038/nn.3707.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-8013-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-29F1-1
Genre: Journal Article

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Froudarakis, E, Author
Berens, P, Author              
Ecker, AS1, 2, Author              
Cotton, RJ, Author
Sinz, FH, Author              
Yatsenko, D, Author
Saggau, P, Author
Bethge, M1, 2, Author              
Tolias, AS, Author              
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Neural codes are believed to have adapted to the statistical properties of the natural environment. However, the principles that govern the organization of ensemble activity in the visual cortex during natural visual input are unknown. We recorded populations of up to 500 neurons in the mouse primary visual cortex and characterized the structure of their activity, comparing responses to natural movies with those to control stimuli. We found that higher order correlations in natural scenes induced a sparser code, in which information is encoded by reliable activation of a smaller set of neurons and can be read out more easily. This computationally advantageous encoding for natural scenes was state-dependent and apparent only in anesthetized and active awake animals, but not during quiet wakefulness. Our results argue for a functional benefit of sparsification that could be a general principle governing the structure of the population activity throughout cortical microcircuits.

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 Dates: 2014-06
 Publication Status: Published in print
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 Identifiers: DOI: 10.1038/nn.3707
BibTex Citekey: FroudarakisBECSYSBT2014
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Title: Nature Neuroscience
Source Genre: Journal
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Pages: - Volume / Issue: 17 (6) Sequence Number: - Start / End Page: 851 - 857 Identifier: -