A spiral attractor network drives rhythmic locomotion

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...

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Main Authors: Bruno, Angela M., Frost, William N., Humphries, Mark D.
Format: Article
Language:English
Published: eLife Sciences Publications 2017
Online Access:https://eprints.nottingham.ac.uk/53577/
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author Bruno, Angela M.
Frost, William N.
Humphries, Mark D.
author_facet Bruno, Angela M.
Frost, William N.
Humphries, Mark D.
author_sort Bruno, Angela M.
building Nottingham Research Data Repository
collection Online Access
description 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.
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spelling nottingham-535772018-08-31T10:02:51Z https://eprints.nottingham.ac.uk/53577/ A spiral attractor network drives rhythmic locomotion Bruno, Angela M. Frost, William N. Humphries, Mark D. 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. eLife Sciences Publications 2017-08-07 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/53577/1/Attractor_MotorProgramme_ELife_RevisionDraft3pt1.pdf Bruno, Angela M., Frost, William N. and Humphries, Mark D. (2017) A spiral attractor network drives rhythmic locomotion. eLife, 6 . e27342. ISSN 2050-084X http://dx.doi.org/10.7554/elife.27342 doi:10.7554/elife.27342 doi:10.7554/elife.27342
spellingShingle Bruno, Angela M.
Frost, William N.
Humphries, Mark D.
A spiral attractor network drives rhythmic locomotion
title A spiral attractor network drives rhythmic locomotion
title_full A spiral attractor network drives rhythmic locomotion
title_fullStr A spiral attractor network drives rhythmic locomotion
title_full_unstemmed A spiral attractor network drives rhythmic locomotion
title_short A spiral attractor network drives rhythmic locomotion
title_sort spiral attractor network drives rhythmic locomotion
url https://eprints.nottingham.ac.uk/53577/
https://eprints.nottingham.ac.uk/53577/
https://eprints.nottingham.ac.uk/53577/