Neural Manifolds Underlying Naturalistic Human Movements in Electrocorticography
Neuroscience, Electrophysiology, Behavioral Neuroscience and ePoster by Zoe Steine-Hanson, Rajesh P. N. Rao, Rajesh P N Rao and Bing Brunton
Part of COSYNE 2023 posters, University of Washington; Computer Science and Engineering; University of Washington; UW
Sunday
Poster
Abstract
An open question in neuroscience is how the brain controls naturally generated movements. An increasing number of studies have shown that high-dimensional neural population dynamics lie within low-dimensional manifolds, which may be integral to neural control of behavior. However, many of these studies have focused on neural activity recorded during experimentally driven movements with little variability, leaving open the question of whether low-dimensional neural manifolds persist during naturalistic movements. In this paper, we investigate neural population dynamics in naturalistic reaching movements across 12 individuals’ electrocorticography (ECoG) data recorded during their 5 day hospital stay. We found that for all 12 individuals the neural dynamics during four types of arm movements did lie within the same neural manifolds. These manifold spaces also did not drift significantly across the multiple days of their hospital stay. We then compared neural dynamics between individuals for the same types of movements, and found that the manifolds were also aligned between individuals. The alignment of these neural
manifold spaces during naturalistic movement indicates that neural manifolds may represent a general principle of movement control.
Topics
Details
- Session
- Poster Session III
- Citation
- Zoe Steine-Hanson, Rajesh P. N. Rao, Rajesh P N Rao et al. (2023). Neural Manifolds Underlying Naturalistic Human Movements in Electrocorticography. COSYNE 2023. https://doi.org/10.57736/203d-49f7 (opens in a new tab)
Related ePosters
- Frankfurt, Germany
A control space for muscle state-dependent cortical influence during naturalistic motor behavior
Mar 18, 2022Lisbon, PortugalLearning neuronal manifolds for interacting neuronal populations
Frankfurt, Germany
More in Poster Session III
All postersBrain-Rhythm-based Inference (BRyBI) for time-scale invariant speech processing
Mar 12, 2023Olesia Dogonasheva et al.Credit-based self-organization yields cortex-like topography in deep convolutional networks
Mar 12, 2023Amirozhan Dehghani et al.Density-based Neural Decoding using Spike Localization for Neuropixels Recordings
Mar 12, 2023Yizi Zhang et al.Granular retrosplenial cortex high frequency oscillation dynamics in hippocampo-cortical dialogue
Mar 12, 2023Kaiser Arndt et al.
More with Rajesh P. N. Rao
All their workMore with Bing Brunton
All their workCOSYNE 2025
Conference · Mar 27 – Apr 1, 2025The balance hypothesis for the avian lumbosacral organ and an exploration of its morphological variation
Seminar · Video · 1 h 16 min · May 11, 2023Sydney Systems Neuroscience and Complexity SNAC