（认知计算神经科学暑期学校）
课程安排
Week 1. Model Types, Modeling Practice, Model Fitting, Machine Learning, Dimensionality Reduction
Week 2. Bayesian Statistics, Linear Systems, Decision Making, Optimal Control , Reinforcement Learning
Week 3. Real Neurons, Dynamic Networks, Network Causality, Deep Learning
链接
组织方官网
Github（所有资源）
B站（中国区视频）