Xiangdong Bu

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

Task-driven recurrent neural networks (RNNs) have been widely employed as tools for investigating neural dynamics in neural motor control research by modeling the motor cortex. RNNs are often implicitly assumed to learn the underlying computational mechanisms in accordance with biological neural circuits. However, the...