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A spiral attractor network drives rhythmic locomotion

Bruno, Angela M.; Frost, William N.; Humphries, Mark D.

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Authors

Angela M. Bruno

William N. Frost

MARK HUMPHRIES Mark.Humphries@nottingham.ac.uk
Professor of Computational Neuroscience



Abstract

The joint activity of neural populations is high dimensional and complex. One strategy for reaching a tractable understanding of circuit function is to seek the simplest dynamical system that can account for the population activity. By imaging Aplysia’s pedal ganglion during fictive locomotion, here we show that its population wide activity arises from a low-dimensional spiral attractor. Evoking locomotion moved the population into a low-dimensional, periodic, decaying orbit - a spiral – in which it behaved as a true attractor, converging to the same orbit when evoked, and returning to that orbit after transient perturbation. We found the same attractor in every preparation, and could predict motor output directly from its orbit, yet individual neurons’ participation changed across consecutive locomotion bouts. From these results, we propose that only the low-dimensional dynamics for movement control, and not the high-dimensional population activity, are consistent within and between nervous systems.

Citation

Bruno, A. M., Frost, W. N., & Humphries, M. D. (2017). A spiral attractor network drives rhythmic locomotion. eLife, 6, Article e27342. https://doi.org/10.7554/elife.27342

Journal Article Type Article
Acceptance Date Jul 11, 2017
Online Publication Date Aug 7, 2017
Publication Date Aug 7, 2017
Deposit Date Aug 6, 2018
Publicly Available Date Aug 6, 2018
Journal eLife
Electronic ISSN 2050-084X
Publisher eLife Sciences Publications
Peer Reviewed Peer Reviewed
Volume 6
Article Number e27342
DOI https://doi.org/10.7554/elife.27342
Public URL https://nottingham-repository.worktribe.com/output/952391
Publisher URL https://elifesciences.org/articles/27342
Contract Date Aug 6, 2018

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