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: Pietro Perona, PhD
Allen E. Puckett Professor of Electrical Engineering
Speaker: Yisong Yue, PhD
Assistant Professor of Computing and Mathematical Sciences
Speaker: Richard Andersen, PhD
James G. Boswell Professor of Neuroscience
Speaker: Erik Winfree, PhD
Professor of Computer Science, Computation and Neural Systems, and Bioengineering
Speaker: Michael Dickinson, PhD
Esther M. and Abe M. Zarem Professor of Bioengineering and Aeronautics
Speaker: David Anderson, PhD
Seymour Benzer Professor of Biology
Speaker: Athanassios Siapas, PhD
Professor of Computation and Neural Systems
Speaker: Elizabeth Hong, PhD
Clare Boothe Luce Assistant Professor of Neuroscience
Speaker: Yuki Oka, PhD
Assistant Professor of 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.