The dynamics and geometry of choice in the premotor cortex

Genkin, Mikhail, Shenoy, Krishna V, Chandrasekaran, Chandramouli, Engel, Tatiana A (June 2025) The dynamics and geometry of choice in the premotor cortex. Nature. ISSN 0028-0836 (Public Dataset)

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Abstract

The brain represents sensory variables in the coordinated activity of neural populations, in which tuning curves of single neurons define the geometry of the population code1,2. Whether the same coding principle holds for dynamic cognitive variables remains unknown because internal cognitive processes unfold with a unique time course on single trials observed only in the irregular spiking of heterogeneous neural populations3-8. Here we show the existence of such a population code for the dynamics of choice formation in the primate premotor cortex. We developed an approach to simultaneously infer population dynamics and tuning functions of single neurons to the population state. Applied to spike data recorded during decision-making, our model revealed that populations of neurons encoded the same dynamic variable predicting choices, and heterogeneous firing rates resulted from the diverse tuning of single neurons to this decision variable. The inferred dynamics indicated an attractor mechanism for decision computation. Our results reveal a unifying geometric principle for neural encoding of sensory and dynamic cognitive variables.

Item Type: Paper
Subjects: neurobiology > neuroanatomy
neurobiology
organs, tissues, organelles, cell types and functions
organs, tissues, organelles, cell types and functions > tissues types and functions
CSHL Authors:
Communities: CSHL labs > Engel lab
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 25 June 2025
Date Deposited: 26 Jun 2025 12:34
Last Modified: 26 Jun 2025 12:34
Related URLs:
Dataset ID:
  • https://doi.org/10.6084/m9.figshare.29052116.v1
URI: https://repository.cshl.edu/id/eprint/41895

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