Multidimensional cerebellar computations for flexible kinematic control of movements

Akshay Markanday, Sungho Hong, Junya Inoue, Erik Schutter and Peter Thier ()
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Akshay Markanday: Eberhard Karls University Tübingen
Sungho Hong: Okinawa Institute of Science and Technology
Junya Inoue: Eberhard Karls University Tübingen
Erik Schutter: Okinawa Institute of Science and Technology
Peter Thier: Eberhard Karls University Tübingen

Nature Communications, 2023, vol. 14, issue 1, 1-16

Abstract: Abstract Both the environment and our body keep changing dynamically. Hence, ensuring movement precision requires adaptation to multiple demands occurring simultaneously. Here we show that the cerebellum performs the necessary multi-dimensional computations for the flexible control of different movement parameters depending on the prevailing context. This conclusion is based on the identification of a manifold-like activity in both mossy fibers (MFs, network input) and Purkinje cells (PCs, output), recorded from monkeys performing a saccade task. Unlike MFs, the PC manifolds developed selective representations of individual movement parameters. Error feedback-driven climbing fiber input modulated the PC manifolds to predict specific, error type-dependent changes in subsequent actions. Furthermore, a feed-forward network model that simulated MF-to-PC transformations revealed that amplification and restructuring of the lesser variability in the MF activity is a pivotal circuit mechanism. Therefore, the flexible control of movements by the cerebellum crucially depends on its capacity for multi-dimensional computations.

Date: 2023
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DOI: 10.1038/s41467-023-37981-0

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