Panzeri, S., Macke, J. H., Gross, J. and Kayser, C. (2015) Neural population coding: combining insights from microscopic and mass signals. Trends in Cognitive Sciences, 19(3), pp. 162-172. (doi: 10.1016/j.tics.2015.01.002) (PMID:25670005) (PMCID:PMC4379382)
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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.
Item Type: | Articles (Other) |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Panzeri, Professor Stefano and Kayser, Professor Christoph and Gross, Professor Joachim |
Authors: | Panzeri, S., Macke, J. H., Gross, J., and Kayser, C. |
College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
Journal Name: | Trends in Cognitive Sciences |
Publisher: | Elsevier |
ISSN: | 1364-6613 |
ISSN (Online): | 1879-307X |
Copyright Holders: | Copyright © 2015 Elsevier Ltd. |
First Published: | First published in Trends in Cognitive Sciences 19(3):162-172 |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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