Journal
TRENDS IN COGNITIVE SCIENCES
Volume 19, Issue 3, Pages 162-172Publisher
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tics.2015.01.002
Keywords
neural code; cross-correlation; relative timing; sensory processing; oscillation; multiscale processing; neuroimaging; state-dependent coding
Funding
- European Commission [FP7-ICT-2011.9.11, FP7-600954, FP7-284553]
- European Community [PITN-GA-2011-290011]
- UK Biotechnology and Biological Sciences Research Council (BBSRC) [BB/L027534/1]
- Max Planck Society
- Wellcome Trust [098433]
- Autonomous Province of Trento (Call 'Grandi Progetti)
- Bernstein Center for Computational Neuroscience, Tubingen by the German Federal Ministry of Education and Research (BMBF) [FKZ: 01GQ1002]
- BBSRC [BB/L027534/1, BB/M009742/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/L027534/1] Funding Source: researchfish
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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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