🎓 Courses
Graduate Courses
- Frontiers in Computational Neuroscience
Undergraduate Courses
🎮 Interactive Demos — Probabilistic Models of Mind
Browser-based demonstrations for Probability Theory and Stochastic Process (PSYC1505), each grounded in real cognitive science experiments. All demos run directly in the browser.
Ch.1 · 概率表征基础
Ch.2 · 贝叶斯网络
Ch.3 · 马尔可夫网络
Ch.4 · 概率推断算法
Ch.6 · 概率学习基础
- 心理物理反应时 — Gaussian MLE
- 神经 Spike Train — Poisson/GLM
- Efficient Coding 中的 KL 散度
- Population Coding 与 Poisson Likelihood
Ch.7 · 贝叶斯参数学习
Ch.8 · 隐变量学习与 EM
- Schapiro 统计学习 — 隐藏 Community 结构
- 语音音素 GMM 类别学习
- Ratcliff Diffusion Model 反应时隐变量
- ELBO / Free Energy 与知觉学习
Ch.10 · 隐马尔可夫模型
Ch.11 · 卡尔曼滤波与 LDS
Ch.12 · 蒙特卡洛与 MCMC
Ch.13 · 变分推断与平均场
✍️ Blog
I enjoy writing blog posts to reflect on everyday thoughts—about life, research, philosophy, and whatever ideas happen to arise.
Blogging is a way to share insights that may not (yet) be mature enough for a formal paper, but are still worth pondering and discussing.
- Why LoT
- The Most Brilliant Brain Operates Like a Markov Process
- Two Cultures of Science: Theory and Computation
- Wittgenstein’s Language Games
- Is knowledge geometric or algebraic?
- Attention is all you need
- You need to distract, then you can …
- Physical theories originate from psychological intuitions
- Active Inference and Meditation
- Oriental Tales and World Models