42-665 Brain-Computer Interface: Principles and Applications
9 units, Carnegie Mellon University
This course provides an introduction and comprehensive review of the concepts, principles and methods of Braincomputer interface BCI technology. BCIs have emerged as a novel technology that bridges the brain with external devices. BCIs have been developed to decode human intention, leading to direct brain control of a computer or device, bypassing the neuromuscular pathway. Bidirectional braincomputer interfaces not only allows device control, but also opens the door for modulating the central nervous system through neural interfacing. Using various recorded brain signals that reflect the intention of the brain, BCI systems have shown the capability to control external devices, such as computers and robots. Neural stimulation using electrical, magnetic, optical and acoustic energy has shown capability to better understanding of the brain functions and intervene with central nervous systems. This course teaches the fundamentals how a BCI system works and various building blocks of BCIs, from signal acquisition, signal processing, feature extraction, feature translation, neurostimulation, to device control, and various applications. Examples of noninvasive BCIs are discussed to provide an indepth understanding of the noninvasive BCI technology. Open to seniors or graduate students in engineering or science programs, or upon instructors approval for exceptional juniors, e.g..
Prerequisites: none listed
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