Duration-modulated neural population dynamics in humans during BMI controls

Fuente: arXiv
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Auteurs principaux: Yin, Fei, Guan, Charles, Aflalo, Tyson, Gamez, Jorge, Pejsa, Kelsie, Rosario, Emily, Liu, Charles, Bari, Ausaf, Andersen, Richard
Format: Preprint
Publié: 2025
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author Yin, Fei
Guan, Charles
Aflalo, Tyson
Gamez, Jorge
Pejsa, Kelsie
Rosario, Emily
Liu, Charles
Bari, Ausaf
Andersen, Richard
author_facet Yin, Fei
Guan, Charles
Aflalo, Tyson
Gamez, Jorge
Pejsa, Kelsie
Rosario, Emily
Liu, Charles
Bari, Ausaf
Andersen, Richard
contents The motor cortex (MC) is often described as an autonomous dynamical system during movement execution. In an autonomous dynamical system, flexible movement generation depends on reconfiguring the initial conditions, which then unwind along known dynamics. An open question is whether these dynamics govern MC activity during brain-machine interface (BMI) control. We investigated MC activity during BMI cursor movements of multiple durations, ranging from hundreds of milliseconds to sustained over seconds. These durations were chosen to cover the range of movement durations necessary to control modern BMIs under varying precision levels. Movements shared their MC initial condition with movements of different durations in the same direction. Long-duration movements sustained MC activity, effectively pausing the neural population dynamics until each movement goal was reached. The difference across durations in MC population dynamics may be attributed to external inputs. Our results highlight the role of sustained inputs to MC during movement.
format Preprint
id arxiv_https___arxiv_org_abs_2511_04887
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Duration-modulated neural population dynamics in humans during BMI controls
Yin, Fei
Guan, Charles
Aflalo, Tyson
Gamez, Jorge
Pejsa, Kelsie
Rosario, Emily
Liu, Charles
Bari, Ausaf
Andersen, Richard
Neurons and Cognition
The motor cortex (MC) is often described as an autonomous dynamical system during movement execution. In an autonomous dynamical system, flexible movement generation depends on reconfiguring the initial conditions, which then unwind along known dynamics. An open question is whether these dynamics govern MC activity during brain-machine interface (BMI) control. We investigated MC activity during BMI cursor movements of multiple durations, ranging from hundreds of milliseconds to sustained over seconds. These durations were chosen to cover the range of movement durations necessary to control modern BMIs under varying precision levels. Movements shared their MC initial condition with movements of different durations in the same direction. Long-duration movements sustained MC activity, effectively pausing the neural population dynamics until each movement goal was reached. The difference across durations in MC population dynamics may be attributed to external inputs. Our results highlight the role of sustained inputs to MC during movement.
title Duration-modulated neural population dynamics in humans during BMI controls
topic Neurons and Cognition
url https://arxiv.org/abs/2511.04887