Single-trial neural dynamics are dominated by richly varied movements:dataset

Churchland, A. K., Musall, Simon, Kaufman, Matthew T., Juavinett, A. L., Gluf, S. (October 2019) Single-trial neural dynamics are dominated by richly varied movements:dataset. [Dataset]

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URL: https://dx.doi.org/10.14224/1.38599

Abstract

When experts are immersed in a task, do their brains prioritize task-related activity? Most efforts to understand neural activity during well-learned tasks focus on cognitive computations and task-related movements. We wondered whether task-performing animals explore a broader movement landscape and how this impacts neural activity. We characterized movements, using video and other sensors and measured neural activity using widefield and two-photon imaging. Cortex-wide activity was dominated by movements, especially uninstructed movements not required for the task. Some uninstructed movements were aligned to trial events. Accounting for them revealed that neurons with similar trial-averaged activity often reflected utterly different combinations of cognitive and movement variables. Other movements occurred idiosyncratically, accounting for trialby-trial fluctuations that are often considered ‘noise’. This held true throughout task-learning and for extracellular Neuropixels recordings that included subcortical areas. Our observations argue that animals execute expert decisions while performing richly varied, uninstructed movements that profoundly shape neural activity.

Item Type: Dataset
Subjects: organs, tissues, organelles, cell types and functions > tissues types and functions > cerebral cortex
organism description > animal > mammal > rodent > mouse
neurobiology
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
CSHL Authors:
Communities: CSHL labs > Churchland lab
Depositing User: Adrian Gomez
Date: 14 October 2019
Date Deposited: 16 Oct 2019 15:54
Last Modified: 14 Nov 2019 16:05
Related URLs:
URI: http://repository.cshl.edu/id/eprint/38599

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