行為和大腦的計算建模
Computational modeling of behavior and brain
學期
109-1
學分
2
學分
當期課號
A956
永久課號
B2092
開課單位
神經科學研究所
授課教師
吳仕煒
校區
陽明
類別
選修
上課時間表
| 節 | 週一 |
|---|---|
3 10:10–11:00 | 行為和大腦的計算建模 YL824 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Organizational meeting |
| 第 2 週 | Biological vision and statistical decision theory |
| 第 3 週 | Planning your action: statistical decision theory and Bayesian analysis |
| 第 4 週 | Data simulation and modeling: visual perception and motor control |
| 第 5 週 | Estimating probability: Bayesian models and human judgment |
| 第 6 週 | Estimating probability: non-Bayesian models |
| 第 7 週 | Data simulation and modeling: human judgment and probability estimation |
| 第 8 週 | Making economic decisions: Expected utility theory and prospect theory |
| 第 9 週 | Expectation-based reference-dependent models |
| 第 10 週 | Data simulation and modeling: decision making |
| 第 11 週 | Process models: drift diffusion and evidence accumulation |
| 第 12 週 | Attention and drift diffusion |
| 第 13 週 | Data simulation and modeling: drift diffusion models |
| 第 14 週 | Reinforcement leanring: Rescorla-Wagner framework |
| 第 15 週 | Reinforcement learning: temporal difference models |
| 第 16 週 | Data simulation and modeling: reinforcement learning |
| 第 17 週 | 彈性補充學習:自主學習 |
| 第 18 週 | 彈性補充學習:自主學習 |