Bryan Tripp
Asssistant Professor
Biology
University of Waterloo
Canada
Biography
"Dr. Bryan, received his PhD from University of Waterloo. He is working as a Assistant Professor in University of Waterloo. My research develops simulations of the parts of the brain that are responsible for seeing, and for controlling movement. About half the human brain is dedicated to seeing and moving, and this half has very much in common with the other half. So understanding vision and movement will bring us much closer to understanding intelligence more generally. My group also integrates neural simulations with robots, because this forces our models to confront the same kinds of physical complications as real brains (e.g. low-contrast regions in depth perception; uncertain friction in grasping). We are currently using deep convolutional networks as a starting point, and working to make them more like real brains in various ways. The goal is to develop neural simulations that have similar internal activity to real brains, while controlling robots effectively in a variety of complex tasks."
Research Interest
Robotics, Nanotechnology, Connection to Brain.
Publications
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Hunsberger E, Osorio VR, Orchard J, Tripp BP. Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access. 2017;5:11645-57.
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Tripp BP. Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks. InNeural Networks (IJCNN), 2017 International Joint Conference on 2017 May 14 (pp. 3551-3560). IEEE.
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Tripp B, Singh S, Selby B. Optimization and Rapid Prototyping of Catadioptric Omnidirectional Stereo Sensors. Journal of Intelligent & Robotic Systems. 2017 Jun 1;86(3-4):467-83.
