海外中餐馆香飘五大洲 因地制宜谋发展

  • Brokoslaw Laschowski, University of Toronto
百度 价高者得,光靠“竞拍”得来的人才难以真正的扎根,最后往往是“竹篮打水一场空”,倒不如正视自身的实力,选择符合自身发展需求的人才,而不是一味地去争抢“金鸡蛋”。

In this talk, Dr. Laschowski will present his research on the development of new mathematical, computational, and machine learning models to reverse-engineer and/or interface with the brain. Some examples include 1) deep learning models to model the visual information processing neural networks in the visual cortex, 2) neural decoding algorithms to predict speech and motor intent for brain-machine interfaces, and 3) reinforcement learning models to reverse-engineer how neural computations in the motor cortex control and optimize human movement. Taken together, his lab specializes in developing in silicobrain models using large-scale neural and behavioural data to tackle grand challenges in computational neuroscience.

Speaker Details

Dr. Brokoslaw Laschowski is a computational neuroscientist. He currently works as a Research Scientist and Principal Investigator at the University Health Network—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 leading multidisciplinary research laboratory that explores the intersection of neuroscience and artificial intelligence. The long-term vision for his research is to reverse-engineer the human brain and discover fundamental principles of learning and intelligence.

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