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: Pietro Perona, PhD
Allen E. Puckett Professor of Electrical Engineering
Speaker: Ann Kennedy, PhD
Post-doc in David Anderson Lab
Speaker: Carlos Lois, MD, PhD
Research Professor
Speaker: Henry Lester, PhD
Bren Professor of Biology
Speaker: John M. Allman, PhD
Frank P. Hixon Professor of Neurobiology
Speaker: Anima Anandkumar, PhD
Bren Professor of Computing and Mathematical Sciences
Speaker: Betty Hong, PhD
Clare Boothe Luce Assistant Professor of Neuroscience
Speaker: Ueli Rutishauser, PhD
Associate Professor, Board of Governors Chair in Neurosciences of Cedars-Sinai Medical
Center
Visiting Faculty of CNS, BBE
Speaker: Colin F. Camerer, PhD
Rea A. and Lela G. Axline Professor of Business Economics
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.