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Low-Dimensional Spatio-Temporal Dynamics Underlie Cortex-Wide Neural Activity

Camden J. MacDowell, View ORCID ProfileTimothy J. Buschman
doi: https://doi.org/10.1101/2020.01.05.895177
Camden J. MacDowell
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08540, USA
2Department of Molecular Biology, Princeton University, Princeton, NJ, 08540, USA
3Rutgers Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA
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Timothy J. Buschman
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, 08540, USA
4Department of Psychology, Princeton University, Princeton, NJ, 08540, USA
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  • ORCID record for Timothy J. Buschman
  • For correspondence: tbuschma@princeton.edu
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Abstract

Cognition arises from the dynamic flow of neural activity through the brain. To capture these dynamics, we used mesoscale calcium imaging to record neural activity across the dorsal cortex of awake mice. We found that the large majority of variance in cortex-wide activity (∼75%) could be explained by a limited set of ∼14 ‘motifs’ of neural activity. Each motif captured a unique spatio-temporal pattern of neural activity across the cortex. These motifs generalized across animals and were seen in multiple behavioral environments. Motif expression differed across behavioral states and specific motifs were engaged by sensory processing, suggesting the motifs reflect core cortical computations. Together, our results show that cortex-wide neural activity is highly dynamic, but that these dynamics are restricted to a low-dimensional set of motifs, potentially to allow for efficient control of behavior.

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Posted January 06, 2020.
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Low-Dimensional Spatio-Temporal Dynamics Underlie Cortex-Wide Neural Activity
Camden J. MacDowell, Timothy J. Buschman
bioRxiv 2020.01.05.895177; doi: https://doi.org/10.1101/2020.01.05.895177
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Low-Dimensional Spatio-Temporal Dynamics Underlie Cortex-Wide Neural Activity
Camden J. MacDowell, Timothy J. Buschman
bioRxiv 2020.01.05.895177; doi: https://doi.org/10.1101/2020.01.05.895177

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