Single-trial neural dynamics are dominated by richly varied movements

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...

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Published inNature neuroscience Vol. 22; no. 10; pp. 1677 - 1686
Main Authors Musall, Simon, Kaufman, Matthew T., Juavinett, Ashley L., Gluf, Steven, Churchland, Anne K.
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.10.2019
Nature Publishing Group
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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 trial-by-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. The authors use a linear model to reveal how neural activity patterns are related to cognition or movements. They find that uninstructed movements dominate single-cell and population activity throughout the brain, outpacing task-related activity.
AbstractList 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 trial-by-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.
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 trial-by-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. The authors use a linear model to reveal how neural activity patterns are related to cognition or movements. They find that uninstructed movements dominate single-cell and population activity throughout the brain, outpacing task-related activity.
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 trial-by-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. The authors use a linear model to reveal how neural activity patterns are related to cognition or movements. They find that uninstructed movements dominate single-cell and population activity throughout the brain, outpacing task-related activity.
Audience Academic
Author Churchland, Anne K.
Gluf, Steven
Kaufman, Matthew T.
Musall, Simon
Juavinett, Ashley L.
AuthorAffiliation 1 Cold Spring Harbor Laboratory, Neuroscience, Cold Spring Harbor, NY
2 Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL
3 Division of Biological Sciences, UC San Diego, San Diego, CA
4 These authors contributed equally to this work
AuthorAffiliation_xml – name: 3 Division of Biological Sciences, UC San Diego, San Diego, CA
– name: 4 These authors contributed equally to this work
– name: 1 Cold Spring Harbor Laboratory, Neuroscience, Cold Spring Harbor, NY
– name: 2 Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL
Author_xml – sequence: 1
  givenname: Simon
  surname: Musall
  fullname: Musall, Simon
  organization: Cold Spring Harbor Laboratory, Neuroscience
– sequence: 2
  givenname: Matthew T.
  surname: Kaufman
  fullname: Kaufman, Matthew T.
  organization: Cold Spring Harbor Laboratory, Neuroscience, Department of Organismal Biology and Anatomy, The University of Chicago, The Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, The University of Chicago
– sequence: 3
  givenname: Ashley L.
  surname: Juavinett
  fullname: Juavinett, Ashley L.
  organization: Cold Spring Harbor Laboratory, Neuroscience, Division of Biological Sciences, University of California, San Diego
– sequence: 4
  givenname: Steven
  surname: Gluf
  fullname: Gluf, Steven
  organization: Cold Spring Harbor Laboratory, Neuroscience
– sequence: 5
  givenname: Anne K.
  orcidid: 0000-0002-3205-3794
  surname: Churchland
  fullname: Churchland, Anne K.
  email: churchland@cshl.edu
  organization: Cold Spring Harbor Laboratory, Neuroscience
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31551604$$D View this record in MEDLINE/PubMed
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S.M., M.T.K. and A.K.C. designed the experiments. S.M. and S.G. trained animals and recorded widefield data. S.M. performed surgeries. M.T.K. and S.M. acquired 2-photon data, designed the linear model and performed data analysis. A.L.J. recorded and spike-sorted Neuropixels data. A.K.C., M.T.K and S.M. wrote the paper with assistance from S.G. and A.L.J.. S.M. and M.T.K. contributed equally.
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Snippet When experts are immersed in a task, do their brains prioritize task-related activity? Most efforts to understand neural activity during well-learned tasks...
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SubjectTerms 14/63
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631/378/2649
631/378/2649/1409
64/60
Analysis
Animal cognition
Animal Genetics and Genomics
Animals
Auditory Perception - physiology
Behavioral Sciences
Biological Techniques
Biomedical and Life Sciences
Biomedicine
Cerebral Cortex - diagnostic imaging
Cerebral Cortex - physiology
Cognition
Cognition - physiology
Cognitive ability
Cognitive tasks
Decision making
Decision Making - physiology
Human mechanics
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Mice, Inbred C57BL
Movement - physiology
Neural circuitry
Neurobiology
Neuroimaging
Neurons - physiology
Neurosciences
Physiological aspects
Psychological aspects
Psychomotor Performance - physiology
Variables
Variation
Visual Perception - physiology
Title Single-trial neural dynamics are dominated by richly varied movements
URI https://link.springer.com/article/10.1038/s41593-019-0502-4
https://www.ncbi.nlm.nih.gov/pubmed/31551604
https://www.proquest.com/docview/2296636751
https://search.proquest.com/docview/2297125828
https://pubmed.ncbi.nlm.nih.gov/PMC6768091
Volume 22
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