Hongwei Mao

The paper develops hybrid neural network models to simulate cortical neuronal activity during movement, showing that synaptic processes drive state transitions in neural networks.

The paper trains an autoregressive Transformer on neural spiking data to decode motor behavior, showing broad utility across tasks but highlighting limitations in scaling.