腦機介面系統(英文授課)
Brain-Computer Interface
| 節 | 週二 |
|---|---|
2 09:00–09:50 | 腦機介面系統(英文授課) EC330 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
Course outline: This course explores state-of-the-art brain-sensing methodology and its application to neuroscience, neurology, and human-machine interaction. Lectures will be given on the relevant topics including the background to brain function, sensing technology, signal processing, machine learning methods, and applications of brain-computer interfacing (BCI) in various domains. Course objectives: 1. Understand the background to conduct research in neuromonitoring and BCI. 2. Understand the literature in the field of BCI. 3. Understand and use engineering approaches in BCI. 4. Be able to apply tools required for real-time BCI systems. 5. Understand the domains and contexts in which BCIs are effective. 6. Understand the open questions and challenges in real-world applications of BCI.
Programming (Python) Every student taking this course is required to fill out the pre-course survey (link: https://forms.gle/eioeBauvZy31Cefr7) by 14:00, Feb 26, 2021.
Participation 10%; Homework 40%; Project 50% (subject to change based on the needs of the class)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course introduction |
| 第 2 週 | Introduction to BCI |
| 第 3 週 | Fundamental neuroscience |
| 第 4 週 | Neuromonitoring |
| 第 5 週 | EEG acquisition |
| 第 6 週 | EEG processing |
| 第 7 週 | Intercollegiate Activities; Working day but no class |
| 第 8 週 | EEG feature extraction 1 |
| 第 9 週 | EEG feature extraction 2 |
| 第 10 週 | Machine learning for BCI 1 |
| 第 11 週 | Machine learning for BCI 2 |
| 第 12 週 | Proposal presentation |
| 第 13 週 | Challenges and Ethical issues in BCI applications |
| 第 14 週 | Invited talk |
| 第 15 週 | Project presentation |
| 第 16 週 | Project presentation |
| 第 17 週 | TBD |
| 第 18 週 | TBD |
Literature reading; Online resources
- 地點
- EC330
- 時間
- By appointment.
- 聯絡方式
- wei@nycu.edu.tw