Research Assistant
Cunle, Qian
钱存乐
Research interests: Spike train transformation modeling, Nonlinear modeling, Point process
My major research topic is the nonlinear modeling of spike train transformation between neural populations. In my previous works, I proposed to use multilayer neural network and spike train kernel method under the point process framework to enable the nonlinear spike train transformation modeling between premotor and primary motor cortical spike activities. Currently, I'm working on developing reinforcement learning algorithm for spike train transformation modeling.