한빛사논문
Akshay Markanday1,3, Sungho Hong2,3, Junya Inoue1, Erik De Schutter2 & Peter Thier1
1Hertie Institute for Clinical Brain Research, Eberhard Karls University Tübingen, Tübingen, Germany.
2Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa, Japan.
3These authors contributed equally: Akshay Markanday, Sungho Hong.
These authors contributed equally: Akshay Markanday, Sungho Hong.
Corresponding author : Correspondence to Peter Thier.
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.
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