Angela�M. Bruno
Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program
Bruno, Angela�M.; Frost, William�N.; Humphries, Mark�D.
Authors
William�N. Frost
Professor MARK HUMPHRIES Mark.Humphries@nottingham.ac.uk
PROFESSOR OF COMPUTATIONAL NEUROSCIENCE
Abstract
The neural substrates of motor programs are only well understood for small, dedicated circuits. Here we investigate how a motor program is constructed within a large network. We imaged populations of neurons in the Aplysia pedal ganglion during execution of a locomotion motor program. We found that the program was built from a very small number of dynamical building blocks, including both neural ensembles and low-dimensional rotational dynamics. These map onto physically discrete regions of the ganglion, so that the motor program has a corresponding modular organization in both dynamical and physical space. Using this dynamic map, we identify the population potentially implementing the rhythmic pattern generator and find that its activity physically traces a looped trajectory, recapitulating its low-dimensional rotational dynamics. Our results suggest that, even in simple invertebrates, neural motor programs are implemented by large, distributed networks containing multiple dynamical systems.
Citation
Bruno, A., Frost, W., & Humphries, M. (2015). Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program. Neuron, 86(1), 304-318. https://doi.org/10.1016/j.neuron.2015.03.005
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 25, 2015 |
Online Publication Date | Mar 26, 2015 |
Publication Date | Apr 8, 2015 |
Deposit Date | Aug 6, 2018 |
Publicly Available Date | Aug 6, 2018 |
Journal | Neuron |
Print ISSN | 0896-6273 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 86 |
Issue | 1 |
Pages | 304-318 |
DOI | https://doi.org/10.1016/j.neuron.2015.03.005 |
Public URL | https://nottingham-repository.worktribe.com/output/952448 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0896627315002019?via%3Dihub |
Contract Date | Aug 6, 2018 |
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Licence
https://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
Creative Commons Attribution Non-Commercial No Derivatives License
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