神經工程
Neural Engineering
| 節 | 週四 |
|---|---|
2 09:00–09:50 | 神經工程 BI311（博愛） 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
First, I will teach the basic knowledge of neuroscience including neuron/cells and brain anatomy. All students can understand how to do the cognitive experiment design related to human cognition. Secondly, I will teach how to do the EEG signal processing while getting EEG signals. Finally, I will introduce machine learning tools based on pattern recognition for developing the BCI system.
Having your higher interests in the human central nervous system and brain-computer interface design and applications.
無備註
Notebook/PC,Presentation, Matlab,EEGLAB toolbox, PRtools etc
Show up (10%), Midterm Exam (30%), Literature Report (20%), Homework (20%), Final Project (30%)
EEG signal processing
EEGLAB toolbox 1. Preprocessing 2. Artifact Rejection 3. ICA 4. Event related spectrum perturbations 5. Component Clustering
- 講授：
- 6 weeks
Machine Learning
1. Introducing Brain Computer Interface 2. Classifier Design 3. Evaluation Methods 4. Feature Selection 5. Feature Extraction
- 講授：
- 6 weeks
Cognitive Neuroscience
1. Introduction to Brain 2. Neuroanatomy and Development 3. The Methods of Cognitive NeuroScience
- 講授：
- 6 weeks
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Neural Engineering / EEG |
| 第 2 週 | Introduction to Brain Computer Interface |
| 第 3 週 | Cellular Mechanisms and Cognition |
| 第 4 週 | Neuroanatomy and Development I |
| 第 5 週 | Holidays |
| 第 6 週 | Neuroanatomy and Development II |
| 第 7 週 | The Methods of Cognitive Neuroscience |
| 第 8 週 | Midterm Exam |
| 第 9 週 | Introduction to Real-World NeuroImaging Studies |
| 第 10 週 | EEG Basics and Data Acquisition EEG Signal Processing: Artifact Removal / Noise Rejection |
| 第 11 週 | 1. Independent Component Analysis (ICA) 2. Time-Frequency Analysis / Event Related Spectrum Perturbation (ERSP) 3. Multi-subjects Group Analysis / Component Clustering |
| 第 12 週 | Literature Survey Report |
| 第 13 週 | Introduction to Brain Computer Interface 1. Motor Imaginary-based BCI systems 2. SSVEP-based BCI systems |
| 第 14 週 | Pattern Recognition / Classifier Design for BCI 12/12 |
| 第 15 週 | Evaluation Methods and Confusion Matrix |
| 第 17 週 | Feature Extraction |
1. Cognitive Neuroscience, Second Edition, by Michael S. Gazzaniga, Richard B. Ivry, George R. Mangun 2. EEGLab toolbox, http://sccn.ucsd.edu/eeglab/ A. Delorme and S. Makeig, “EEGLAB: an open-source toolbox for analysis of single-trial EEG dynamics including independent component analysis,” Journal of Neuroscience Methods, vol. 134, pp. 9-21, 2004. 3. Brain-Computer Interfaces principles and practice, by Jonathan Wolpaw (EDT); Elizabeth Winter Wolpaw (EDT), 2012.
- 地點
- 工程六館553室(Room 553 in Engineering Building 6)
- 時間
- Wednesday 10:00am – 12:00pm
- 聯絡方式
- Professor Li-Wei Ko, lwko@nctu.edu.tw, office number: 56950 Dr. Cory Stevenson, celimach@gmail.com, office number: 56950