Behavioral decomposition reveals rich encoding structure employed across neocortex in rats

Bartul Mimica (), Tuçe Tombaz, Claudia Battistin, Jingyi Guo Fuglstad, Benjamin A. Dunn and Jonathan R. Whitlock ()
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Bartul Mimica: Princeton University
Tuçe Tombaz: Norwegian University of Science and Technology
Claudia Battistin: Norwegian University of Science and Technology
Jingyi Guo Fuglstad: Norwegian University of Science and Technology
Benjamin A. Dunn: Norwegian University of Science and Technology
Jonathan R. Whitlock: Norwegian University of Science and Technology

Nature Communications, 2023, vol. 14, issue 1, 1-20

Abstract: Abstract The cortical population code is pervaded by activity patterns evoked by movement, but it remains largely unknown how such signals relate to natural behavior or how they might support processing in sensory cortices where they have been observed. To address this we compared high-density neural recordings across four cortical regions (visual, auditory, somatosensory, motor) in relation to sensory modulation, posture, movement, and ethograms of freely foraging male rats. Momentary actions, such as rearing or turning, were represented ubiquitously and could be decoded from all sampled structures. However, more elementary and continuous features, such as pose and movement, followed region-specific organization, with neurons in visual and auditory cortices preferentially encoding mutually distinct head-orienting features in world-referenced coordinates, and somatosensory and motor cortices principally encoding the trunk and head in egocentric coordinates. The tuning properties of synaptically coupled cells also exhibited connection patterns suggestive of area-specific uses of pose and movement signals, particularly in visual and auditory regions. Together, our results indicate that ongoing behavior is encoded at multiple levels throughout the dorsal cortex, and that low-level features are differentially utilized by different regions to serve locally relevant computations.

Date: 2023
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DOI: 10.1038/s41467-023-39520-3

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