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Specific connectivity optimizes learning in thalamocortical loops

View ORCID ProfileKaushik Lakshminarasimhan, View ORCID ProfileMarjorie Xie, Jeremy Cohen, View ORCID ProfileBritton Sauerbrei, View ORCID ProfileAdam Hantman, View ORCID ProfileAshok Litwin-Kumar, View ORCID ProfileSean Escola
doi: https://doi.org/10.1101/2022.09.27.509618
Kaushik Lakshminarasimhan
1Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
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Marjorie Xie
1Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
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Jeremy Cohen
2Neuroscience Center, University of North Carolina, Chapel Hill, NC 27559, USA
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Britton Sauerbrei
3Department of Neurosciences, Case Western Reserve University, Cleveland, OH 44106, USA
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Adam Hantman
2Neuroscience Center, University of North Carolina, Chapel Hill, NC 27559, USA
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Ashok Litwin-Kumar
1Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
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  • For correspondence: a.litwin-kumar@columbia.edu sean@neurotheory.columbia.edu
Sean Escola
1Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA
4Department of Psychiatry, Columbia University, New York, NY 10032, USA
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  • For correspondence: a.litwin-kumar@columbia.edu sean@neurotheory.columbia.edu
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1 Abstract

Cortico-thalamo-cortical loops have a central role in cognition and motor control, but precisely how thalamus contributes to these processes is unclear. Recent studies showing evidence of plasticity in thalamocortical synapses indicate a role for thalamus in shaping cortical dynamics – and thus behavior – through learning. Since corticothalamic projections compress cortical activity into a lower-dimensional thalamic activity space, we hypothesized that the computational role of thalamus would depend critically on the structure of corticothalamic connectivity. To test this, we identified the optimal corticothalamic structure that promotes biologically plausible learning in thalamocortical synapses. We found that corticothalamic structures specialized to carry an efference copy of the cortical output benefit motor control, while corticothalamic connections that communicate the directions of highest variance in cortical activity are optimal for working memory tasks. We analyzed neural recordings from mice performing grasping and delayed discrimination, and found corticothalamic interactions consistent with these predictions. These results suggest that thalamus orchestrates cortical dynamics in a functionally precise manner through structured connectivity.

Competing Interest Statement

The authors have declared no competing interest.

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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 September 28, 2022.
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Specific connectivity optimizes learning in thalamocortical loops
Kaushik Lakshminarasimhan, Marjorie Xie, Jeremy Cohen, Britton Sauerbrei, Adam Hantman, Ashok Litwin-Kumar, Sean Escola
bioRxiv 2022.09.27.509618; doi: https://doi.org/10.1101/2022.09.27.509618
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Specific connectivity optimizes learning in thalamocortical loops
Kaushik Lakshminarasimhan, Marjorie Xie, Jeremy Cohen, Britton Sauerbrei, Adam Hantman, Ashok Litwin-Kumar, Sean Escola
bioRxiv 2022.09.27.509618; doi: https://doi.org/10.1101/2022.09.27.509618

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