Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/39883
Title: Diverse coupling of neurons to populations in sensory cortex
Authors: Okun, Michael
Steinmetz, Nicholas A.
Cossell, Lee
Iacaruso, M. Florencia
Ko, Ho
Barthó, Peter
Moore, Tirin
Hofer, Sonja B.
Mrsic-Flogel, Thomas D.
Carandini, Matteo
Harris, Kenneth D.
First Published: 6-Apr-2015
Publisher: Nature Publishing Group
Citation: Nature, 2015, 521 (7553), pp. 511-515
Abstract: A large population of neurons can, in principle, produce an astronomical number of distinct firing patterns. In cortex, however, these patterns lie in a space of lower dimension, as if individual neurons were "obedient members of a huge orchestra". Here we use recordings from the visual cortex of mouse (Mus musculus) and monkey (Macaca mulatta) to investigate the relationship between individual neurons and the population, and to establish the underlying circuit mechanisms. We show that neighbouring neurons can differ in their coupling to the overall firing of the population, ranging from strongly coupled 'choristers' to weakly coupled 'soloists'. Population coupling is largely independent of sensory preferences, and it is a fixed cellular attribute, invariant to stimulus conditions. Neurons with high population coupling are more strongly affected by non-sensory behavioural variables such as motor intention. Population coupling reflects a causal relationship, predicting the response of a neuron to optogenetically driven increases in local activity. Moreover, population coupling indicates synaptic connectivity; the population coupling of a neuron, measured in vivo, predicted subsequent in vitro estimates of the number of synapses received from its neighbours. Finally, population coupling provides a compact summary of population activity; knowledge of the population couplings of n neurons predicts a substantial portion of their n(2) pairwise correlations. Population coupling therefore represents a novel, simple measure that characterizes the relationship of each neuron to a larger population, explaining seemingly complex network firing patterns in terms of basic circuit variables.
DOI Link: 10.1038/nature14273
ISSN: 0028-0836
eISSN: 1476-4687
Links: https://www.nature.com/nature/journal/v521/n7553/full/nature14273.html
http://hdl.handle.net/2381/39883
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2015, Nature Publishing Group. Deposited with reference to the publisher’s archiving policy available on the SHERPA/RoMEO website.
Appears in Collections:Published Articles, Dept. of Neuroscience, Psychology and Behaviour

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