Surya Ganguli

Surya Ganguli

Associate Professor, Applied Physics
Senior Fellow, Institute for Human-Centered Artificial Intelligence (HAI)
Associate Professor (By courtesy), Neurobiology
Associate Professor (By courtesy), Electrical Engineering
Member, Bio-X
Member, Wu Tsai Neurosciences Institute
Ph.D., UC Berkeley, Theoretical Physics (2004)
M.A., UC Berkeley, Physics (2000)
M.A., UC Berkeley, Mathematics (2004)
M.Eng., MIT, Electrical Engineering and Computer Science (1998)
B.S., MIT, Physics (1998)
B.S., MIT, Mathematics (1998)
B.S., MIT, Electrical Engineering and Computer Science (1998)
Affiliation:
Affiliated Faculty
MBCT Faculty Affiliates
Committee:
MBCT Graduate Student Training Committee
Lab Website
Personal Website
Applied Physics Website
Profile
sganguli@stanford.edu

Related Projects

Wu Tsai Neurosciences Institute
EPFL-Stanford Exchange
2017
Biologically plausible neural algorithms for learning structured sequences

Humans naturally learn to generate and process complicated sequential patterns. For example, a concert pianist can learn an enormous repertoire of memorized music. In neuroscience, it is widely thought that synaptic plasticity – the process by which the connections between neurons change response to experience – underlies such remarkable behavior.