Structure and variability of delay activity in premotor cortex

PLoS Computational Biology
Nir Even-ChenKrishna V Shenoy

Abstract

Voluntary movements are widely considered to be planned before they are executed. Recent studies have hypothesized that neural activity in motor cortex during preparation acts as an 'initial condition' which seeds the proceeding neural dynamics. Here, we studied these initial conditions in detail by investigating 1) the organization of neural states for different reaches and 2) the variance of these neural states from trial to trial. We examined population-level responses in macaque premotor cortex (PMd) during the preparatory stage of an instructed-delay center-out reaching task with dense target configurations. We found that after target onset the neural activity on single trials converges to neural states that have a clear low-dimensional structure which is organized by both the reach endpoint and maximum speed of the following reach. Further, we found that variability of the neural states during preparation resembles the spatial variability of reaches made in the absence of visual feedback: there is less variability in direction than distance in neural state space. We also used offline decoding to understand the implications of this neural population structure for brain-machine interfaces (BMIs). We found that decoding of a...Continue Reading

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Citations

Jul 10, 2020·Annual Review of Neuroscience·Saurabh VyasKrishna V Shenoy
Feb 14, 2020·Neuron·Saurabh VyasKrishna V Shenoy
May 27, 2021·Journal of Neurophysiology·Katrin SutterW Pieter Medendorp
Jan 28, 2022·Nature·Xulu SunKrishna V Shenoy

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