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  Population Code in Mouse V1 Facilities Read-out of Natural Scenes through Increased Sparseness

Froudarakis, A., Berens, P., Ecker, A., Cotton, R., Sinz, F., Yatsenko, D., et al. (2014). Population Code in Mouse V1 Facilities Read-out of Natural Scenes through Increased Sparseness. Poster presented at AREADNE 2014: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece.

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Externe Referenzen

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externe Referenz:
http://areadne.org/2014/home.html (Zusammenfassung)
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Urheber

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 Urheber:
Froudarakis, A, Autor
Berens, P, Autor           
Ecker, AS1, 2, Autor           
Cotton, RJ, Autor
Sinz, F, Autor           
Yatsenko, D, Autor
Saggau, P, Autor
Bethge, M1, 2, Autor           
Tolias, AS, Autor           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              

Inhalt

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Schlagwörter: -
 Zusammenfassung: The neural code is 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 induce 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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 Datum: 2014-06
 Publikationsstatus: Erschienen
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 Inhaltsverzeichnis: -
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 Identifikatoren: BibTex Citekey: FroudarakisBECSYSBT2014_2
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Veranstaltung

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Titel: AREADNE 2014: Research in Encoding and Decoding of Neural Ensembles
Veranstaltungsort: Santorini, Greece
Start-/Enddatum: 2014-06-25 - 2014-06-29

Entscheidung

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Projektinformation

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Quelle 1

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Titel: AREADNE 2014: Research in Encoding and Decoding of Neural Ensembles
Genre der Quelle: Konferenzband
 Urheber:
Hatsopoulos, NG, Herausgeber
Pezaris, JS, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: Cambridge, MA, USA : AREADNE Foundation
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 69 Identifikator: ISSN: 2155-3203