神經工程
Neuroengineering
| 節 | 週一 |
|---|---|
3 10:10–11:00 | 神經工程 YEA205 3 節連堂 |
4 11:10–12:00 | |
N 12:20–13:10 |
* 根據陽明交大上課時間表所列
Applying engineering to neuroscience including such diverse areas as neural tissue engineering, models of neural function, and neural interface technology. Focuses mainly in the context of neural interfaces and prosthetics, from basic neural physiology and models of neural mechanisms to advanced neural interfaces currently in development or produced commercially. •Learn about some of the goals of neural engineering and who is involved (in research and uses) • Learn about many of the features of the nervous system and body that neural engineering must consider • Be able to describe what neural engineering is and what a neural engineering system might include or not include, and why, to someone not in the class
For biological background student: 1. Basic neuroscience 2. Physiology For engineering background student: 1. Previous coursework on circuits, signal processing, differential eqns 2. Experience using MATLAB or other programming language (C/C++, Python)
MATLAB or other programing software will be used for some assignments and all projects
40% - weekly homework (8) 20% - midterm project/ exam 10% - lab reports (3) 10% - class participation and attendance 20% - final project
| 週次 | 主題 |
|---|---|
| 第 1 週 | Class overview (lecture), biophysics review and introduction NE |
| 第 2 週 | Cells of the Nervous System(1)Membrane potentials, Hodgkin-Huxley, Cable Equation |
| 第 3 週 | Cells of the Nervous System(2)Membrane potentials, Hodgkin-Huxley, Cable Equation |
| 第 4 週 | Action potentials |
| 第 5 週 | Action Potential Propagation |
| 第 6 週 | Volume conductor models, modeling neural recording |
| 第 7 週 | Modeling neural stimulation, electrode impedance models (1) |
| 第 8 週 | Modeling neural stimulation, electrode impedance models (2) |
| 第 9 週 | Midterm project/exam |
| 第 10 週 | Neural spiking data processing, Principal components, clustering algorithms (1) |
| 第 11 週 | Continuous brain machine interfaces (Linear regression, Kalman filters) |
| 第 12 週 | Classification based brain machine interfaces (Naive Bayes, LDA, logistic regression, SVM)Machine learning classifiers: Spike sorting, clustering algorithms |
| 第 13 週 | Neural networks for neural decoding |
| 第 14 週 | State of the art in neuroprosthetics research |
| 第 15 週 | Neuromodulation |
| 第 16 週 | Final project |
No textbooks are required. Slides will be posted on the E3 class website. Reference book: From Neuron to Brain 5th
- 地點
- A228, Exp. Build
- 時間
- Mon. 14:30~15:30, weekly
- 聯絡方式
- email: youyin.chen@nycu.edu.tw Tel: 28267022