計算神經科學

週次計畫

週次	主題
第 1 週	Course introduction, basic neurobiology, basic programming in python 2020/09/16
第 2 週	Neural activities, firing rate and spike train statistics 2020/09/23
第 3 週	Tuning curves, receptive fields, stimulus-response correlations 2020/09/30
第 4 週	Spike-trigger average, principal component analysis, basic linear algebra 2020/10/07
第 5 週	Decoding neural responses, discrimination, likelihood and probabilistic inference 2020/10/14
第 6 週	Mutual information, Entropy, basic information theory 2020/10/21
第 7 週	Electrophysiology of neurons, spiking-neuron models 2020/10/28
第 8 週	Electrophysiology of neurons, spiking-neuron models 2020/11/04
第 9 週	Synaptic transmissions, coupling of neural activities, computer simulations 2020/11/11
第 10 週	Levels of neural modeling, computer representations, basic data structure 2020/11/18
第 11 週	Assorted network models, simulations of neural networks 2020/11/25
第 12 週	全校運動會停課 2020/12/02
第 13 週	Synaptic plasticity, plasticity rules and network stability 2020/12/09
第 14 週	Unsupervised learning, Hebbian learning, spike-timing dependent plasticity 2020/12/16
第 15 週	Supervised learning, basic artificial neural networks 2020/12/23
第 16 週	Behavior conditioning, reinforcement learning, Q-learning 2020/12/30
第 17 週	Classification, generative models, self-organizing map 2021/01/06
第 18 週	Neural functions, predictive dynamics, information filtering, decision making 2021/01/13