CSCI2950-O(Formerly CS295-7 )
Topics in Brain-Computer Interfaces
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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.