Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learning

H Hoang, S Tsutsumi, M Matsuzaki, M Kano, M Kawato… - Elife, 2023 - elifesciences.org
Cerebellar climbing fibers convey diverse signals, but how they are organized in the
compartmental structure of the cerebellar cortex during learning remains largely unclear. We …

Consensus Paper: Cerebellum and Reward

M Manto, M Adamaszek, R Apps, E Carlson… - The Cerebellum, 2024 - Springer
Cerebellum is a key-structure for the modulation of motor, cognitive, social and affective
functions, contributing to automatic behaviours through interactions with the cerebral cortex …

Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning

H Hoang, S Tsutsumi, M Matsuzaki, M Kano, K Toyama… - bioRxiv, 2023 - biorxiv.org
Although the cerebellum is typically linked to supervised learning algorithms, it also exhibits
extensive connections to reward processing. In this study, we investigated the cerebellum's …