How does the brain compute? Can we endow machines with brain-like computational capability? Faculty and students in the Computation and Neural Systems (CNS) program ask these questions with the goal of understanding the brain and designing systems that show the same degree of autonomy and adaptability as biological systems.
This course is designed to introduce undergraduate and first-year CNS graduate students to the wide variety of research being undertaken by CNS faculty. Topics from all the CNS research labs are discussed and span the range from biology to engineering.
Speaker: Athanassios Siapas, PhD
Professor of Computation and Neural Systems
Speaker: Paul Sternberg, PhD
Thomas Hunt Morgan Professor of Biology
Speaker: Michelle Effros, PhD
George Van Osdol Professor of Electrical Engineering
Speaker: Michael Dickinson, PhD
Esther M. and Abe M. Zarem Professor of Bioengineering and Aeronautics
Speaker: Shinsuke Shimojo, PhD
Gertrude Baltimore Professor of Experimental Psychology
Speaker: Carlos Lois, MD, PhD
Research Professor
Speaker: Richard Andersen, PhD
James G. Boswell Professor of Neuroscience
Speaker: Anima Anandkumar, PhD
Bren Professor
Speaker: David Anderson, PhD
Seymour Benzer Professor of Biology
Speaker: Matt Thomson, PhD
Assistant Professor of Computational Biology
This course is graded on a pass/fail basis. Course registrants are expected to arrive on time. Complete attendance of all sessions is required for a passing mark. Excused absences can be arranged beforehand with the teaching assistant.