Complementary goal and prediction-driven learning systems in a model of mammalian sensorimotor areas
Sunny Duan, Sol Markman, Nikasha Patel, Ila Fiete, Laureline Logiaco · COSYNE 2025
The ease with which two-legged dogs can run illustrates the versatility and agility of mammals in learning arbitrary motor skills, an ability currently unrivaled by artificial systems. How the brain supports these capacities is unclear, as control mechanisms are distributed and interdependent between many brain regions. We make progress on this question by developing a neural network model comprising three major brain systems that are known to play central roles in learned motor control: the cerebellum (CB), primary motor cortex (M1), and associative sensorimotor cortex (ASC). We both leverage
ePoster · Neuroscience