Decoding locomotion from population neural activity in moving . Author Kelsey Hallinen, Ross Dempsey, Monika Scholz, Xinwei Yu, Ashley Linder, Francesco Randi, Anuj Sharma, Joshua Shaevitz, Andrew Leifer Publication Year 2021 Type Journal Article Abstract We investigated the neural representation of locomotion in the nematode by recording population calcium activity during movement. We report that population activity more accurately decodes locomotion than any single neuron. Relevant signals are distributed across neurons with diverse tunings to locomotion. Two largely distinct subpopulations are informative for decoding velocity and curvature, and different neurons' activities contribute features relevant for different aspects of a behavior or different instances of a behavioral motif. To validate our measurements, we labeled neurons AVAL and AVAR and found that their activity exhibited expected transients during backward locomotion. Finally, we compared population activity during movement and immobilization. Immobilization alters the correlation structure of neural activity and its dynamics. Some neurons positively correlated with AVA during movement become negatively correlated during immobilization and vice versa. This work provides needed experimental measurements that inform and constrain ongoing efforts to understand population dynamics underlying locomotion in . Keywords Animals, Caenorhabditis elegans, Brain, Neurons, Motor Activity Journal Elife Volume 10 Date Published 2021 Jul 29 ISSN Number 2050-084X DOI 10.7554/eLife.66135 Alternate Journal Elife PMCID PMC8439659 PMID 34323218 PubMedPubMed CentralGoogle ScholarBibTeXEndNote X3 XML