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Mathematics of Vision

Organised by VISTA members: Chris Bergevin, Joel Zylberberg, Rick Wildes, James Elder, Richard Murray & Patrick Cavanagh
In many ways, “vision science” can serve as a fruitful proxy for research in neuroscience and artificialintelligence. That is, given that a significant fraction of our nervous systems is geared towards processingvisual information (and the subsequent cognitive and behavioral effects), the study of vision provides a richmeans to explore a rich variety of cutting-edge topics of broad interest in science and technology. For example,vision researchers are a mix of experimentalists (e.g., neurophysiology, psychophysics), engineers(e.g., computer vision), biophysical & mathematical modelers (e.g., theoretical frameworks of learning),and translational scientists (e.g., development of retinal protheses). As such, vision research is a focal pointwhere many efforts in applied mathematics come together.
Unofficial email for the
Please pre-registerhere. Note that you will be requested to fill out a full registration form at a later point.
Potential topics (as such would ultimately depend upon confirmed invited speakers) could include:

“Biology of of vision” (as an intro talk on the physiology and background on perception)
models of neural processing of visual information
machine/deep learning in modeling of physical constraints in computer vision
biophysics of photoreception
pattern recognition and machine learning
statistical communication theory

Invited Speakers:

Tatyana Sharpee (Physics, UC San Diego & Salk Institute)
Stephanie Palmer (Biology and Physics, U. of Chicago)
Richard Zemel (Computer Science, U. of Toronto, Vector Institute)
Odelia Schwartz (Computer Science, U. of Miami)
Alexandre Pouget (Neuroscience, U. of Geneva)
Lai-Sang Young (Mathematics, Courant Institute, NYU)



Oct 17 - 19 2019


12:00 am - 12:00 am


Fields Institute @ 222 College St, Toronto, ON M5T 3J1
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