SC7 Brain-Computer Interfaces to Probe Problem-Solving
Session 1: Introduction to motor neurophysiology. Behavior, single-unit physiology and population dynamics.
Session 2: Introduction to machine learning. Brain-computer interfaces as a specific application of machine learning. New tools for analyzing neural population activity.
Session 3: Studying learning and problem-solving using the BCI framework
Session 4: Continuation of prior lectures, overview of the BCI field, and brainstorming discussion.
Students will develop a working knowledge of brain-computer interfaces. This will include an ability to derive the fundamental equations, and an understanding of the tradeoffs choices inherent in BCI design. Students will be able to use modern tools of multineuronal data analysis. At very least, students will be equipped to read,
understand, and critically evaluate the emerging literature of brain-computer interfaces and multineuronal analysis.
Lecture Room 3Course requirements