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  Cerebellar Neurodynamics Predict Decision Timing and Outcome on the Single-Trial Level

Lin, Q., Manley, J., Helmreich, M., Schlumm, F., Li, J., Robson, D., et al. (2020). Cerebellar Neurodynamics Predict Decision Timing and Outcome on the Single-Trial Level. Cell, 180(3), 536-551. doi:10.1016/j.cell.2019.12.018.

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 Creators:
Lin, Q, Author
Manley, J, Author
Helmreich, M, Author
Schlumm, F, Author
Li, JM1, 2, Author              
Robson, DN1, 2, Author              
Engert, F, Author
Schier, A, Author
Nöbauer, T, Author
Vaziri, A, Author
Affiliations:
1Research Group Systems Neuroscience & Neuroengineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3168483              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Goal-directed behavior requires the interaction of multiple brain regions. How these regions and their interactions with brain-wide activity drive action selection is less understood. We have investigated this question by combining whole-brain volumetric calcium imaging using light-field microscopy and an operant-conditioning task in larval zebrafish. We find global, recurring dynamics of brain states to exhibit pre-motor bifurcations toward mutually exclusive decision outcomes. These dynamics arise from a distributed network displaying trial-by-trial functional connectivity changes, especially between cerebellum and habenula, which correlate with decision outcome. Within this network the cerebellum shows particularly strong and predictive pre-motor activity (>10 s before movement initiation), mainly within the granule cells. Turn directions are determined by the difference neuroactivity between the ipsilateral and contralateral hemispheres, while the rate of bi-hemispheric population ramping quantitatively predicts decision time on the trial-by-trial level. Our results highlight a cognitive role of the cerebellum and its importance in motor planning.

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 Dates: 2020-02
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1016/j.cell.2019.12.018
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Title: Cell
Source Genre: Journal
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Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 180 (3) Sequence Number: - Start / End Page: 536 - 551 Identifier: ISSN: 0092-8674
CoNE: https://pure.mpg.de/cone/journals/resource/954925463183