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

By Martin A. Vinck, R. Batista-Brito, Ulf Knoblich, Jessica A. Cardin. bioRxiv, 2014

787 citations recorded by the source corpus.

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. Abbreviations 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

Subfields: Cognitive Neuroscience, Sensory Systems

View Paper: https://www.semanticscholar.org/paper/f5cfdcad7bf8f81ba739427e837dd767592ee599

How researchers see this paper

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In Cognitive Neuroscience

  1. David A. McCormick
  2. Matthew McGinley
  3. Martin A. Vinck
  4. R. Batista-Brito
  5. Andreas S. Tolias
  6. Yin Li
  7. Stephen V. David
  8. S. Joshi

In Sensory Systems

  1. Matthew McGinley
  2. David A. McCormick
  3. Martin A. Vinck
  4. Sebastiaan Mathôt
  5. Peter S. Dayan
  6. Xiao-Jing Wang

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