Neural population coding: combining insights from microscopic and mass signals

Stefano Panzeri; Jakob H Macke; Joachim Gross; Christoph Kayser

doi:10.1016/j.tics.2015.01.002

Neural population coding

Standard

Neural population coding : combining insights from microscopic and mass signals. / Panzeri, Stefano; Macke, Jakob H; Gross, Joachim; Kayser, Christoph.

In: TRENDS COGN SCI, Vol. 19, No. 3, 03.2015, p. 162-72.

Research output: SCORING: Contribution to journal › SCORING: Review article › Research

Harvard

Panzeri, S, Macke, JH, Gross, J & Kayser, C 2015, 'Neural population coding: combining insights from microscopic and mass signals', TRENDS COGN SCI, vol. 19, no. 3, pp. 162-72. https://doi.org/10.1016/j.tics.2015.01.002

APA

Panzeri, S., Macke, J. H., Gross, J., & Kayser, C. (2015). Neural population coding: combining insights from microscopic and mass signals. TRENDS COGN SCI, 19(3), 162-72. https://doi.org/10.1016/j.tics.2015.01.002

Vancouver

Panzeri S, Macke JH, Gross J, Kayser C. Neural population coding: combining insights from microscopic and mass signals. TRENDS COGN SCI. 2015 Mar;19(3):162-72. https://doi.org/10.1016/j.tics.2015.01.002

Bibtex

@article{00e75f0fc0b04880b6c21325d83c4be3,

title = "Neural population coding: combining insights from microscopic and mass signals",

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.",

keywords = "Action Potentials/physiology, Animals, Brain/physiology, Humans, Neurons/physiology",

author = "Stefano Panzeri and Macke, {Jakob H} and Joachim Gross and Christoph Kayser",

year = "2015",

month = mar,

doi = "10.1016/j.tics.2015.01.002",

language = "English",

volume = "19",

pages = "162--72",

journal = "TRENDS COGN SCI",

issn = "1364-6613",

publisher = "Elsevier Limited",

number = "3",

}

RIS

TY - JOUR

T1 - Neural population coding

T2 - combining insights from microscopic and mass signals

AU - Panzeri, Stefano

AU - Macke, Jakob H

AU - Gross, Joachim

AU - Kayser, Christoph

PY - 2015/3

Y1 - 2015/3

N2 - 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.

AB - 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.

KW - Action Potentials/physiology

KW - Animals

KW - Brain/physiology

KW - Humans

KW - Neurons/physiology

U2 - 10.1016/j.tics.2015.01.002

DO - 10.1016/j.tics.2015.01.002

M3 - SCORING: Review article

C2 - 25670005

VL - 19

SP - 162

EP - 172

JO - TRENDS COGN SCI

JF - TRENDS COGN SCI

SN - 1364-6613

IS - 3

ER -