Jodrey School of Computer Science
Friday, October 25, 2013
Carnegie Hall 113
Biological systems often inspire solutions in robotics, an area that has been termed Neuromorphic Robotics. It has also been pointed out that embedding is a crucial component to understand cognitive systems that is studied cognitive robotics. Here I want to discuss a third closely related area, that of using robots to understand brain functions. I will specifically discuss dynamic neural fields and their relation to Bayes filters such as Kalman filters. I will also comment on some recent trends in machine learning and how they can reshape the field of automation and robotics.
About the Presenter
Dr. Trappenberg studied physics at RWTH Aachen University and the Juelich Research Centre in Germany, before holding research positions at Dalhousie University, Canada, the RIKEN Brain Science Institute, Japan, and at Oxford University, England. Thomas is now a full professor in computer science at Dalhousie University leading the Hallab (Laboratory for Hierarchical Anticipatory Learning), is co-director of the Intelligent Marine Systems Lab, and a member of the Dalhousie Neuroscience Institute and the Big Data Institute. His research interests span computational neuroscience, machine learning, and robotics. He is the author of Introduction of Computational Neuroscience, published by Oxford University press.
Everyone is welcome to attend