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Arousal and locomotion make distinct contributions to cortical activity patterns and visual encoding

Martin Vinck, Renata Batista-Brito, Ulf Knoblich, Jessica A. Cardin
doi: https://doi.org/10.1101/010751
Martin Vinck
1Yale University School of Medicine, Department of Neurobiology, New Haven, CT, USA
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Renata Batista-Brito
1Yale University School of Medicine, Department of Neurobiology, New Haven, CT, USA
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Ulf Knoblich
1Yale University School of Medicine, Department of Neurobiology, New Haven, CT, USA
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Jessica A. Cardin
1Yale University School of Medicine, Department of Neurobiology, New Haven, CT, USA
2Kavli Institute of Neuroscience, Yale University, New Haven CT, USA
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  • For correspondence: jess.cardin@yale.edu
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Abstract

Spontaneous and sensory-evoked cortical activity is highly state-dependent, yet relatively little is known about transitions between distinct waking states. Patterns of activity in mouse V1 differ dramatically between quiescence and locomotion, but this difference could be explained by either motor feedback or a change in arousal levels. We recorded single cells and local field potentials from area V1 in mice head-fixed on a running wheel and monitored pupil diameter to assay arousal. Using naturally occurring and induced state transitions, we dissociated arousal and locomotion effects in V1. Arousal suppressed spontaneous firing and strongly altered the temporal patterning of population activity. Moreover, heightened arousal increased the signal-to-noise ratio of visual responses and reduced noise correlations. In contrast, increased firing in anticipation of and during movement was attributable to locomotion effects. Our findings suggest complementary roles of arousal and locomotion in promoting functional flexibility in cortical circuits.

LFP
Local Field Potential
V1
primary visual cortex
PD
pupil diameter
FS
fast spiking
RS
regular spiking
FR
firing rate
L-on
locomotion onset
L-off
locomotion offset
L
locomotion
LE
early locomotion
LL
late locomotion
Q
quiescence
QE
early quiescence
QM
middle quiescence
QL
late quiescence
SNR
signal-to-noise ratio
ITI
Inter-trial-interval
LV
local coefficient of variation
ISI
inter-spike-interval
s.e.m.
standard error of the mean
SD
standard deviation
ID
Isolation Distance
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted October 30, 2014.
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Arousal and locomotion make distinct contributions to cortical activity patterns and visual encoding
Martin Vinck, Renata Batista-Brito, Ulf Knoblich, Jessica A. Cardin
bioRxiv 010751; doi: https://doi.org/10.1101/010751
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Arousal and locomotion make distinct contributions to cortical activity patterns and visual encoding
Martin Vinck, Renata Batista-Brito, Ulf Knoblich, Jessica A. Cardin
bioRxiv 010751; doi: https://doi.org/10.1101/010751

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