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  Decoding locomotion from population neural activity in moving C. elegans

Hallinen, K. M., Dempsey, R., Scholz, M., Yu, X., Linder, A., Randi, F., et al. (2021). Decoding locomotion from population neural activity in moving C. elegans. eLife, 10: e66135. doi:10.7554/eLife.66135.

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https://elifesciences.org/articles/66135#info (Publisher version)
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16.08.2021: accepted manuscript, online ahead of print
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 Creators:
Hallinen, Kelsey M.1, Author
Dempsey, Ross1, Author
Scholz, Monika1, 2, Author           
Yu, Xinwei1, Author
Linder, Ashley1, Author
Randi, Francesco1, Author
Sharma, Anuj1, Author
Shaevitz, Joshua W.1, Author
Leifer, Andrew M.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Neural Information Flow, Center of Advanced European Studies and Research (caesar), Max Planck Society, ou_3169317              

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Free keywords: Neuroscience
 Abstract: The activity of an animal’s brain contains information about that animal’s actions and movements. We investigated the neural representation of locomotion in the nematode C. elegans by recording population calcium activity during unrestrained movement. We report that a neural population more accurately decodes locomotion than any single neuron. Relevant signals are distributed across neurons with diverse tunings to locomotion. Two distinct subpopulations are informative for decoding velocity and body curvature, and different neurons’ activities contribute features relevant for different instances of behavioral motifs. We labeled neurons AVAL and AVAR and found their activity was highly correlated with one another. They exhibited expected transients during backward locomotion, although they were not always the most informative neurons for decoding velocity. Finally, we compared population neural activity during movement
and immobilization. Immobilization alters the correlation structure of neural activity and its dynamics. Some neurons previously correlated with AVA become anti-correlated and vice versa.

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.7554/eLife.66135
PMID: 34323218
 Degree: -

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Project name : -
Grant ID : IOS-1845137
Funding program : -
Funding organization : National Science Foundation (NSF)
Project name : -
Grant ID : PHY-1734030
Funding program : -
Funding organization : National Science Foundation (NSF)
Project name : -
Grant ID : MH065214
Funding program : -
Funding organization : United States Department of Health & Human Services / National Institutes of Health (NIH) - USA
Project name : -
Grant ID : 324285
Funding program : -
Funding organization : Simons Foundation
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Grant ID : -
Funding program : -
Funding organization : Swartz Foundation

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Title: eLife
  Abbreviation : Elife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 10 Sequence Number: e66135 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X