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Off-manifold coding in visual cortex revealed by sleep

View ORCID ProfileEliezyer Fermino de Oliveira, View ORCID ProfileSoyoun Kim, Tian Season Qiu, Adrien Peyrache, View ORCID ProfileRenata Batista-Brito, View ORCID ProfileLucas Sjulson
doi: https://doi.org/10.1101/2022.06.10.495710
Eliezyer Fermino de Oliveira
1Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
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Soyoun Kim
1Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
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Tian Season Qiu
1Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
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Adrien Peyrache
2Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada
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Renata Batista-Brito
1Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
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Lucas Sjulson
1Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
3Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
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  • For correspondence: luke@sjulsonlab.org
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Abstract

Low-dimensional dynamics and movement-related activity are found throughout the brain. However, primary visual cortex contains high-dimensional sensory representations, raising the question of how low-dimensional dynamics and high-dimensional representations coexist. Here we approached this question by analyzing neuronal activity during slow-wave sleep, which provided reliable estimates of low-dimensional, internally-generated manifold structure. We found that movements and visual scenes were both encoded in the on-manifold subspace, which accounts for more variance than chance during sleep, but visual scenes were also encoded in the off-manifold subspace, which accounts for less variance than chance during sleep. This off-manifold subspace contains sparse activity in the neurons with the strongest low-dimensional modulation by movement, which paradoxically prevents movementevoked activity from interfering with high-dimensional stimulus representations. These results reveal an unexpected link between low-dimensional dynamics and sparse coding, suggesting that these phenomena play a role in creating and accessing an off-manifold coding space for highdimensional representations.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted June 13, 2022.
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Off-manifold coding in visual cortex revealed by sleep
Eliezyer Fermino de Oliveira, Soyoun Kim, Tian Season Qiu, Adrien Peyrache, Renata Batista-Brito, Lucas Sjulson
bioRxiv 2022.06.10.495710; doi: https://doi.org/10.1101/2022.06.10.495710
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Off-manifold coding in visual cortex revealed by sleep
Eliezyer Fermino de Oliveira, Soyoun Kim, Tian Season Qiu, Adrien Peyrache, Renata Batista-Brito, Lucas Sjulson
bioRxiv 2022.06.10.495710; doi: https://doi.org/10.1101/2022.06.10.495710

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