This talk presents the normalization model of neural computation and elaborates the hypothesis that dysfunctions of normalization may be associated with schizophrenia, amblyopia, epilepsy, and autism spectrum disorders.
Normalization as a Canonical Neural Computation
David Heeger is a Professor of Psychology and Neural Science at New York University, where he is a member of the Center for Brain Imaging. His research focuses on biological and artificial vision. He has made a number of influential contributions. These include a model how one can measure motion from optic flow, a nonlinear model of responses in the visual cortex called the “normalization model”, and a method for texture synthesis. Since the late 1990s he has been at the forefront of the field of functional magnetic resonance imaging (fMRI).