Decoding locomotion from population neural activity in moving .

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 .

Journal
Elife
Volume
10
Date Published
2021 Jul 29
ISSN Number
2050-084X
Alternate Journal
Elife
PMCID
PMC8439659
PMID
34323218