Topics in Brain-Computer Interfaces
|Offered this year?||No|
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. Prerequisites: Knowledge of probability, statistics and linear algebra (e.g., CSCI1550, APMA0410, APMA1650, or APMA1690). Enrollment limited to 20 students.