Xiangdong Bu

Pretraining of Embodied Recurrent Networks Bridges the Gap Between Artificial and Cortical Neural Activities

This study proposes a method for modeling the motor cortex pretrained on single reaching skills, and suggests that endowing the network with capabilities beyond the immediate task demands—through more systematic training or other methods—can help better understand the dynamics of biological neural circuits.