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M1 dynamics share similar inputs for initiating and correcting movement

Peter J. Malonis, View ORCID ProfileNicholas G. Hatsopoulos, View ORCID ProfileJason N. MacLean, View ORCID ProfileMatthew T. Kaufman
doi: https://doi.org/10.1101/2021.10.18.464704
Peter J. Malonis
1Committee on Computational Neuroscience, The University of Chicago, Chicago, IL 60637 USA
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Nicholas G. Hatsopoulos
2Dept. of Organismal Biology and Anatomy, The University of Chicago, Chicago, IL 60637 USA
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  • For correspondence: mattkaufman@uchicago.edu
Jason N. MacLean
3Dept. of Neurobiology, The University of Chicago, Chicago, IL 60637 USA
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  • For correspondence: mattkaufman@uchicago.edu
Matthew T. Kaufman
2Dept. of Organismal Biology and Anatomy, The University of Chicago, Chicago, IL 60637 USA
4Neuroscience Institute, The University of Chicago, Chicago, IL 60637 USA
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  • For correspondence: mattkaufman@uchicago.edu
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Abstract

Motor cortex is integral to generating voluntary movement commands. However, as a dynamical system, it is unclear how motor cortical movement commands are informed by either new or sensory-driven corrective instructions. Here, we examine population activity in the primary motor cortex of macaques during a continuous, sequential arm movement task in which the movement instruction is updated several times over the course of a trial. We use Latent Factor Analysis via Dynamical Systems (LFADS) to decompose population activity into a portion explainable via dynamics, and a stream of inferred inputs required to instruct that dynamical system. The time series of inferred inputs had several surprising properties. First, input timing was more strongly locked to target appearance than to movement onset, suggesting that variable reaction times may be a function of how inputs interact with ongoing dynamics rather than variability in instruction timing. Second, inferred inputs were tuned nearly identically for both initial and corrective movements, suggesting a commonality in the structure of inputs across visually-instructed and corrective movements that was previously obscured by the complexity of the dynamical system that is M1.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Competing interests: The authors declare no conflicts of interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted October 19, 2021.
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M1 dynamics share similar inputs for initiating and correcting movement
Peter J. Malonis, Nicholas G. Hatsopoulos, Jason N. MacLean, Matthew T. Kaufman
bioRxiv 2021.10.18.464704; doi: https://doi.org/10.1101/2021.10.18.464704
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M1 dynamics share similar inputs for initiating and correcting movement
Peter J. Malonis, Nicholas G. Hatsopoulos, Jason N. MacLean, Matthew T. Kaufman
bioRxiv 2021.10.18.464704; doi: https://doi.org/10.1101/2021.10.18.464704

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