General Information
| Type | Day | Time (from / to) | Location | ||
|---|---|---|---|---|---|
| Lecture | Thursday | 4:30pm | 7:10pm | Krug Hall 209 | |
| Office hours | Tuesday | 4 pm | 5 pm | Science and Technology II, room 211 | |
| Office hours | Thursday | 3pm | 4pm | Science and Technology II, room 211 | |
Documents
- Class Calendar: follow link on the left.
- Syllabus: (pdf)
Instructor
Nathalia Peixoto
Office: Science and Technology II, Room 211
Email: npeixoto'at'gmu.edu
Office Hours: Thursday 1:30pm to 3:30pm
Additional office hours by appointment (send Nathalia an email).
Textbook
Main Textbook: Neural Engineering, ed. Bin He, Bioelectric Engineering Series, vol. 3, 2005. ISBN 0-306-48609-1. Pertinent journal papers will be emailed to students periodically.
Supplementary texts:
- Kandel, E.R., Principles of Neural Science, McGraw-Hill, 2000, ISBN 0838577016.
- Purves, D, Augustine, G.J, et al. (eds), Neuroscience, Sinauer Assoc., 1997 (or newer edition). ISBN 0878937471.
- Khandpur, R.S., Biomedical Instrumentation, McGraw-Hill, 2005. ISBN 0071447849.
Grading policy
Midterm: 25% - now changed to 15%Final Exam: 25% - now changed to 15%
Project: 25% - now not changed yet.
Class participation: 10% - now changed to 15%
Homework assignments: 15% - now changed to 30% (????)
In order to ensure transparency, students will receive a rubric (in the first class) used by the instructor to grade class participation.
Course (more detailed) information
Objective: This course gives an overview of Neural Engineering for graduate and senior undergraduate students with Engineering background. The sequence of classes is designed to cover from fundamentals of Neurophysiology through applications of neural prosthesis devices such as retinal and cochlear implants. Other important aspects of Neural Engineering to be discussed include the brain-machine interface, instrumentation for interfacing electronics to the nervous system, and sensors for neural research.