News & Events / BME Seminar Series / Past Seminar Speakers / 2017-18Yoshua Bengio, PhD
BME Seminar Series Spring 2018
Thursday, April 5, 2018 at 4-5 pm
Daniel Hale Williams Auditorium
McGaw Pavilion, Chicago
Host: Professor Lee Miller
Professor of Computer Science and Operations Research, University of Montréal
Bridging the Gap Between Deep Learning and Neuroscience
Connectionist ideas from three decades ago have fuelled a revolution in artificial intelligence with the rise of deep learning methods. Both the older connectionist ideas and the newer ones owe a lot to inspiration from the brain, but the gap between deep learning and neuroscience remains wide. We lay down some of these old ideas, based on learning distributed representations in order to jointly optimize by a gradient-based method all the modules of the system with respect to an objective function linked to a task or to capturing many aspects of the observed data. We also discuss the new ideas from deep learning, including a discussion of the newly acquired theoretical understanding of the advantages brought by jointly optimizing a deep architecture. Finally, as the main topic of discussion of this talk, we summarize some of our recent work aimed at bridging the remaining gap between deep learning and neuroscience, including approaches to implement functional equivalents to backpropagation in a more biologically plausible way.
Learn more about Professor Yoshua Bengio and their research here.