腦機介面

Course description This course explores the state-of-the-art brain-sensing methodology and its application to neuroscience, neurology and human-machine interaction. Lectures and journal discussions 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. This course also includes cognitive experiments, real EEG data analysis, and BCI practice. Learning 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.

Linear Algebra, Signals and Systems, Probability and Statistics, Machine Learning.

Assignments: 40% Final project: 20% Paper discussion: 20%

Literature.

地點

HA323

時間

By appointment.

聯絡方式

cwei@nctu.edu.tw