This paper introduces a sensorimotor learning framework for a corticocerebellar network, grounded in the perspective of population dynamics. Using an optimal control theory approach, the cerebellum model enhances preparatory activity through premotor input, allowing the motor cortex to reach the desired initial conditions for movement more efficiently. Unlike traditional motor learning approaches that focus on acquiring new skills, this paradigm emphasizes automatization of already executable behaviors through repetition driven by intrinsic motivation. The proposed model is evaluated using a center-out reaching task, demonstrating that the role of the cerebellum is to shorten the preparatory period required for the successful execution of the movement. These findings suggest that corticocerebellar interactions play a crucial role in optimizing motor preparation, offering insight into the neural mechanisms underlying movement efficiency.
Motor learning transforms variable actions into reliable skilled behavior, but how premotor cortex supports this transformation remains unclear. We longitudinally recorded bilateral local field potentials and single-unit activity from the rat rostral forelimb area while animals acquired a single-pellet retrieval task....
Di Chen, Fang Jia, Qi-Yun Huang et al.· bioRxiv· 0 citations
Primary motor cortex has traditionally been conceptualized as a somatotopically organized structure, with discrete cortical regions corresponding to specific body parts. However, accumulating evidence suggests that motor cortex organization extends beyond simple effector-based representations to include higher-order fu...
Alishba Sadiq, JL Waugh· Research Square· 0 citations
Abstract The translation of abstract cognitive intention into localised physical action is a defining feature of voluntary behaviour1,2. To achieve this, the brain must maintain a highly regulated preparatory state, yet the macroscopic architecture of this interface remains elusive. Historically, the primary motor cort...
Tian-Ye Jia, Zheng Chen, Shi-Tong Xiang et al.· Research Square· 0 citations
A relationship between neural modulation and effector anthropomorphicity (i.e., human-likeness) that existed on an ensemble-wide and individual-neuron level is found, suggesting that human motor cortex activity incrementally increases in response to the visually observed agent's human-likeness.
Jacob T. Gusman, Zoe C. Beckman, Tyler S. Singer-Clark et al.· Proceedings of the National...· 0 citations
This work proposes a cerebellum-inspired control framework that combines multiplexed predictive representations with internal feedback that enables accurate online correction despite delayed feedback and significantly accelerates adaptation.
