Detailed Course Information |
Fall 2021
Apr 16, 2024 |
|
 |
||
| Select the desired Level or Schedule Type to find available classes for the course. |
| CSCI 2950O - Topics in Brain-Computer Interfaces |
|
Introduces the mathematical and computational foundations of brain-computer interfaces. Statistical learning, Bayesian inference, dimensionality reduction, information theory, and other topics are presented in the context of brain interfaces based on neural implants and EEG recordings. Prerequisites: Basic knowledge of probability, statistics and linear algebra (e.g., CSCI 1550, APMA 1650, APMA 1690, or APMA 2640). Enrollment limited to 20 students.
0.000 OR 1.000 Credit hours 0.000 OR 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Discussion Section/Conference, Primary Meeting Computer Science Department |
| Return to Previous | New Search |
|