Brains, and their Applications
Richard Granger, Dartmouth College
Friday, October 24, 2008
This seminar is part of the Jones Seminars on Science, Technology, and Society series
Brains consist of components that are low-precision (2-3 bit), sparsely connected (p<0.01), and very slow (milliseconds), yet they outperform competing approaches on a range of fundamental applications such as visual and auditory recognition. Brain circuits are circuits, albeit with unusual engineering designs, and they are becoming understood computationally. This talk will characterize typical brain circuit architectures and their operating rules; show examples of how such circuits give rise to novel algorithms for learning; and illustrate instances of these methods used in robot applications.
About the Speaker
Richard Granger received his Bachelor's and Ph.D. from MIT and Yale, and is Professor of Psychological and Brain Sciences at Dartmouth. He directs Dartmouth's interdisciplinary Brain Engineering Laboratory, with research projects ranging from computation and robotics to cognitive neuroscience. He has authored more than 100 scientific papers and numerous patents, is co-inventor of FDA-approved devices and drugs in clinical trials, and has been the principal architect of a series of advanced computational systems used in military, commercial and medical settings.