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Population coding of conditional probability distributions in dorsal premotor cortex

Author

Listed:
  • Joshua I. Glaser

    (Northwestern University
    Northwestern University and Shirley Ryan Ability Lab)

  • Matthew G. Perich

    (Northwestern University
    Northwestern University)

  • Pavan Ramkumar

    (Northwestern University and Shirley Ryan Ability Lab)

  • Lee E. Miller

    (Northwestern University and Shirley Ryan Ability Lab
    Northwestern University
    Northwestern University)

  • Konrad P. Kording

    (Northwestern University and Shirley Ryan Ability Lab
    Northwestern University
    Northwestern University
    Northwestern University)

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 record from dorsal premotor cortex (PMd) and primary motor cortex (M1) while monkeys reach to randomly placed targets. The hand’s position within the workspace creates probability distributions of possible upcoming targets, which affect movement trajectories and latencies. PMd, but not M1, neurons have increased activity when the monkey’s hand position makes it likely the upcoming movement will be in the neurons’ preferred directions. Across the population, PMd activity represents probability distributions of individual upcoming reaches, which depend on rapidly changing information about the body’s state in the environment.

Suggested Citation

  • Joshua I. Glaser & Matthew G. Perich & Pavan Ramkumar & Lee E. Miller & Konrad P. Kording, 2018. "Population coding of conditional probability distributions in dorsal premotor cortex," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04062-6
    DOI: 10.1038/s41467-018-04062-6
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    Cited by:

    1. Jan Weber & Anne-Kristin Solbakk & Alejandro O. Blenkmann & Anais Llorens & Ingrid Funderud & Sabine Leske & Pål Gunnar Larsson & Jugoslav Ivanovic & Robert T. Knight & Tor Endestad & Randolph F. Helf, 2024. "Ramping dynamics and theta oscillations reflect dissociable signatures during rule-guided human behavior," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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