A Biomechanically Realistic Virtual Rodent Mimics Neural Activity Patterns in Sensorimotor Regions During Diverse Behaviors
A biomechanically realistic virtual rodent model, trained using deep reinforcement learning, can predict neural activity patterns in sensorimotor regions of freely-moving rats, providing insights into how the brain implements motor control.
