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Large-Scale Circuit Configuration for Flexible Sensory-Motor Decisions

View ORCID ProfileR.L. van den Brink, K. Hagena, N. Wilming, P.R. Murphy, C. Büchel, T.H. Donner
doi: https://doi.org/10.1101/2022.03.10.483758
R.L. van den Brink
1Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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  • ORCID record for R.L. van den Brink
  • For correspondence: r.van-den-brink@uke.de t.donner@uke.de
K. Hagena
1Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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N. Wilming
1Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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P.R. Murphy
1Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
2Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland
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C. Büchel
3Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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T.H. Donner
1Section Computational Cognitive Neuroscience, Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
4Bernstein Center for Computational Neuroscience, Charité Universitätsmedizin, Berlin, Germany
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  • For correspondence: r.van-den-brink@uke.de t.donner@uke.de
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Abstract

Humans and non-human primates can acquire, and rapidly switch between, arbitrary rules that govern the mapping from sensation to action. It has remained unknown if and how the brain configures large-scale sensory-motor circuits to establish such flexible information flow. Here, we developed an approach that elucidates the dynamic configuration of task-specific sensory-motor circuits in humans. Participants switched between arbitrary mapping rules for reporting visual orientation judgments during fMRI. Rule switches were either signaled explicitly or inferred by the participants from ambiguous cues, and we used behavioral modeling to reconstruct the time course of their belief about the active rule. In both contexts, patterns of correlations between ongoing fluctuations in feature-specific activity across visual and action-related brain regions tracked participants’ belief about the active rule. These rule-specific, intrinsic correlation patterns broke down on error trials and predicted individuals’ model-inferred internal noise. Our findings indicate that internal beliefs about task state are instantiated in specific large-scale patterns of selective, correlated neural variability.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 11, 2022.
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Large-Scale Circuit Configuration for Flexible Sensory-Motor Decisions
R.L. van den Brink, K. Hagena, N. Wilming, P.R. Murphy, C. Büchel, T.H. Donner
bioRxiv 2022.03.10.483758; doi: https://doi.org/10.1101/2022.03.10.483758
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Large-Scale Circuit Configuration for Flexible Sensory-Motor Decisions
R.L. van den Brink, K. Hagena, N. Wilming, P.R. Murphy, C. Büchel, T.H. Donner
bioRxiv 2022.03.10.483758; doi: https://doi.org/10.1101/2022.03.10.483758

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