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  State Dependence of Noise Correlation in Macaque Primary Visual Cortex

Ecker, A., Berens, P., Cotton, R., Subramaniyan, M., Denfield, G., Cadwell, C., et al. (2014). State Dependence of Noise Correlation in Macaque Primary Visual Cortex. Poster presented at AREADNE 2014: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece.

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

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 Urheber:
Ecker, AS1, 2, Autor           
Berens, P, Autor           
Cotton, RJ, Autor
Subramaniyan, M, Autor
Denfield, GH, Autor
Cadwell, CR, Autor
Smirnakis, SM, Autor           
Bethge, M2, 3, Autor           
Tolias, AS, Autor           
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              

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 Zusammenfassung: Shared, trial-to-trial variability in neuronal populations has a strong impact on the accuracy of information processing in the brain. Estimates of the level of such noise correlations are diverse, ranging from 0.01 to 0.4, with little consensus on which factors account for these
differences. Here we addressed one important factor that varied across studies, asking how anesthesia affects the population activity structure in macaque primary visual cortex. We found that under opioid anesthesia, activity was dominated by strong coordinated fluctuations on a timescale of 1–2 Hz, which were mostly absent in awake, fixating monkeys. Accounting for these global fluctuations markedly reduced correlations under anesthesia, matching those
observed during wakefulness and reconciling earlier studies conducted under anesthesia and in awake animals. Our results show that internal signals, such as brain state transitions under anesthesia, can induce noise correlations, but can also be estimated and accounted for based on neuronal population activity.

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 Datum: 2014-06
 Publikationsstatus: Erschienen
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 Identifikatoren: BibTex Citekey: EckerBCSDCSBT2014_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:
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Ort, Verlag, Ausgabe: Cambridge, MA, USA : AREADNE Foundation
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 64 Identifikator: ISSN: 2155-3203