Cited by 819Neural dynamics and brain functionVisual perception and processing mechanismsSleep and Wakefulness Research

Arousal and Locomotion Make Distinct Contributions to Cortical Activity Patterns and Visual Encoding

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Vinck, Martin, Batista-Brito, Renata, Knoblich, Ulf, Cardin, Jessica A.·2015·Neuron

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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.

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Crossref · 10.1016/j.neuron.2015.03.028

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  • Locomotion is a homogeneous behavioral state tightly coupled to arousal.

    “This is because locomotion—where place cell activity has been classically characterized—is a homogeneous behavioral state, tightly coupled to arousal32–35.”

    From Place and behavioral modulation of hippocampal neurons during immobility (2026) · cites this paper as [34]

    In Results ('Dissociating locomotion and arousal'; page not provided), pupil diameter was consistently correlated with locomotion transitions and remained elevated during running, supporting a close association with arousal. The same passage reports elevated arousal without locomotion, and the paper does not establish that locomotion is a homogeneous behavioral state. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • The onset of locomotion, as well as vestibular activation, are correlated with pupil dilations and brain state transitions.

    “Indeed, the onset of locomotion, as well as vestibular activation, are correlated with pupil dilations and brain state transitions32,34,36.”

    From Place and behavioral modulation of hippocampal neurons during immobility (2026) · cites this paper as [34]

    The Results sections ‘Dissociating locomotion and arousal’ and ‘LFP modulation by behavioral state transition’ report pupil dilation around locomotion onset and associated changes in cortical activity. The paper does not report vestibular activation or link it to pupil dilation or brain-state transitions; searches for vestibular activation and stimulation found no such passage. Page numbers were unavailable in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • During running, the behavioral state is more homogeneous and likely corresponds to a high-arousal state compared to immobility, where the internal state is more variable and spontaneously fluctuating.

    “These data indicate that during running, the behavioral state is more homogeneous (and likely corresponding to a high-arousal state34–36) compared to immobility, where the internal state is more variable and spontaneously fluctuating.”
  • Elman RNNs can be viewed as an approximation to continuous time firing rate models of neural circuits.

    “We examined Elman RNNs (“vanilla” RNNs), which are perhaps the simplest RNN architecture capable of theoretically representing any nonlinear dynamical system, 52 and which can be viewed as an approximation to continuous time firing rate models of neural circuits.53”
  • Spontaneous and sensory-evoked activity varies continuously and rapidly during wakefulness.

    “This work has revealed that spontaneous and sensory-evoked activity varies continuously and rapidly during wakefulness.”

    From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Vinck et al., 2015

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Authors
Vinck, M., Batista-Brito, R., Knoblich, U., & Cardin, J. A.
Affiliations
Yale University (US)
Corresponding author
Cardin, Jessica A.
Venue
Neuron
Publisher
Elsevier BV
Published
2015-05
Volume
86
Issue
3
Pages
740-754
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2086338669
Cited by
819
References
63
Citations by year
2026: 71 · 2025: 78 · 2024: 108 · 2023: 92 · 2022: 89 · 2021: 76 · 2020: 71 · 2019: 72 · 2018: 57 · 2017: 52 · 2016: 41 · 2015: 12
FWCI
32.49
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • McKnight Foundation
  • National Alliance for Research on Schizophrenia and Depression
  • National Institutes of Health
  • National Eye Institute (EY022951, R00EY018407, R01EY022951, P30EY026878)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
Keywords
arousal, locomotion, primary visual cortex, spontaneous cortical activity, population activity, signal-to-noise ratio, noise correlation, pupil size, running wheel, motor feedback, visual encoding, mice
MeSH terms
Action Potentials, Animals, Arousal, Computer Simulation, Fourier Analysis, Locomotion, Male, Pupil, Visual Cortex, Visual Pathways, Wakefulness, Signal Detection, Psychological, Mice

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