Computational models for brain science

  • Brokoslaw Laschowski, University of Toronto

In this talk, Dr. Laschowski will present his research developing new mathematical, computational, and machine learning models to study intelligence in brains and machines. Some examples include (1) deep learning models of visual information processing, (2) decoding algorithms that predict behaviour from patterns of neural activity, and (3) reinforcement learning models for control and decision-making. In addition to advancing basic research in computational neuroscience, one of the practical applications of his models is to build intelligent machines that think and control themselves.

Speaker Details

Dr. Brokoslaw Laschowski is a computational neuroscientist. He works as a Research Scientist and Principal Investigator at the University Health Network (i.e., the largest research hospital in Canada) and as an Assistant Professor at the University of Toronto, with appointments in Neuroscience and Mechanical Engineering. He also serves as the Director of the Computational Neuroscience Lab, a multidisciplinary research lab that explores the intersection of machine learning, neuroscience, and artificial intelligence. The long-term vision for his research is to reverse-engineer general principles of intelligence—from neurons to circuits to algorithms to learning and cognition—and use that understanding to build thinking machines.

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