Neural Computation & Adaptive Perception Summer School

August 7-11, 2007
Toronto, Canada

This summer school is organized as part of the Neural Computation & Adaptive Perception research program of CIFAR.
It is hosted by the Machine Learning group at the Department of Computer Science, University of Toronto.

Tutorials

  • Geoffrey Hinton, "An efficient way to learn deep generative models" [Slides (updated)], "Hierarchies of RBMs" [Slides]

  • Yoshua Bengio, "Deep Architectures for Baby AI" [Slides]

  • Bruno A. Olshausen, "Things we know, and don't know, about biological vision" [Slides (Part 1), Slides (Part 2)]

  • Hugh R. Wilson, "Binocular Rivalry: Waves, Hysteresis and Perceptual Memory" [Slides], "Nonlinear Dynamics and Vision" [Slides]

  • Yair Weiss, Lightness Perception and Lightness Illusions, Moving Rhombus Displays.

    Talks