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  State Dependence of Noise Correlations in Macaque Primary Visual Cortex

Ecker, A., Berens, P., Cotton, R., Subramaniyan, M., Denfield, G., Cadwell, C., et al. (2014). State Dependence of Noise Correlations in Macaque Primary Visual Cortex. Neuron, 82(1), 235-248. doi:10.1016/j.neuron.2014.02.006.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-803D-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-95C0-A
Genre: Journal Article

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 Creators:
Ecker, AS1, 2, Author              
Berens, P, Author              
Cotton, RJ, Author
Subramaniyan, M, Author
Denfield, GH, Author
Cadwell, CR, Author
Smirnakis, SM, 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, ou_1497794              

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 Abstract: 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 1ndash;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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 Dates: 2014-04
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.neuron.2014.02.006
BibTex Citekey: EckerBCSDCSBT2014
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Title: Neuron
Source Genre: Journal
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Pages: - Volume / Issue: 82 (1) Sequence Number: - Start / End Page: 235 - 248 Identifier: -