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Population Coding Of Conditional Probability Distributions In Dorsal Premotor Cortex

View ORCID ProfileJoshua I. Glaser, Matthew G. Perich, Pavan Ramkumar, Lee E. Miller, Konrad P. Kording
doi: https://doi.org/10.1101/137026
Joshua I. Glaser
Northwestern University;
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  • For correspondence: joshglaser88@gmail.com
Matthew G. Perich
Northwestern University;
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Pavan Ramkumar
Northwestern University;
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Lee E. Miller
Northwestern University;
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Konrad P. Kording
University of Pennsylvania
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Abstract

Our bodies and the environment constrain our movements. For example, when our arm is fully outstretched, we cannot extend it further. More generally, the distribution of possible movements is conditioned on the state of our bodies in the environment, which is constantly changing. However, little is known about how the brain represents such distributions, and uses them in movement planning. Here, we recorded from dorsal premotor cortex (PMd) and primary motor cortex (M1) while monkeys reached to randomly placed targets. The hand's position within the workspace created probability distributions of possible upcoming targets, which affected movement trajectories and latencies. PMd, but not M1, neurons had increased activity when the monkey's hand position made it likely the upcoming movement would be in the neurons' preferred directions. Across the population, PMd activity represented probability distributions of individual upcoming reaches, which depended on rapidly changing information about the body's state in the environment.

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The copyright holder for this preprint is the author/funder. It is made available under a CC-BY-NC 4.0 International license.
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  • Posted January 9, 2018.

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Population Coding Of Conditional Probability Distributions In Dorsal Premotor Cortex
Joshua I. Glaser, Matthew G. Perich, Pavan Ramkumar, Lee E. Miller, Konrad P. Kording
bioRxiv 137026; doi: https://doi.org/10.1101/137026
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Population Coding Of Conditional Probability Distributions In Dorsal Premotor Cortex
Joshua I. Glaser, Matthew G. Perich, Pavan Ramkumar, Lee E. Miller, Konrad P. Kording
bioRxiv 137026; doi: https://doi.org/10.1101/137026

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