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  Neural population coding: combining insights from microscopic and mass signals

Panzeri, S., Macke, J., Gross, J., & Kayser, C. (2015). Neural population coding: combining insights from microscopic and mass signals. Trends in Cognitive Sciences, 19(3), 162-172. doi:10.1016/j.tics.2015.01.002.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-4754-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-FAA6-B
Genre: Journal Article

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Panzeri, S1, 2, Author              
Macke, JH3, Author              
Gross, J, Author
Kayser, C4, 5, Author              
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497798              
3Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
4Research Group Physiology of Sensory Integration, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497808              
5Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 Abstract: Behavior relies on the distributed and coordinated activity of neural populations. Population activity can be measured using multi-neuron recordings and neuroimaging. Neural recordings reveal how the heterogeneity, sparseness, timing, and correlation of population activity shape information processing in local networks, whereas neuroimaging shows how long-range coupling and brain states impact on local activity and perception. To obtain an integrated perspective on neural information processing we need to combine knowledge from both levels of investigation. We review recent progress of how neural recordings, neuroimaging, and computational approaches begin to elucidate how interactions between local neural population activity and large-scale dynamics shape the structure and coding capacity of local information representations, make them state-dependent, and control distributed populations that collectively shape behavior.

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 Dates: 2015-03
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.tics.2015.01.002
BibTex Citekey: PanzeriMGk2015
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Title: Trends in Cognitive Sciences
Source Genre: Journal
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Pages: - Volume / Issue: 19 (3) Sequence Number: - Start / End Page: 162 - 172 Identifier: -