腦機介面系統

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.

Basic programming in Python.

- All registered students and waitlist students should attend the first class. Limited additional enrollment will be available at the end of the first class. Students fail to participate in the first meeting may be withdrawn from the class as a 'no show'. - No show in class may lead to loss in grades. ***** Course operation may be subject to change due to unforeseen causes. *****

Participation 10%; Homework & Labs 70%; Competition 20% (subject to change based on the needs of the class)

Literature reading; Online resources.

地點

EC240, Engineering Building III, Guang-Fu Campus

時間

By appointment.

聯絡方式

Chun-Shu Wei (wei@nycu.edu.tw)