Machine Learning tools and their multivariate tools have made dramatic
successes in recent years .
In this talk we will discuss, as time allows,some recent works involving various biological signals (such as fMRI) and their relationship to various cognitive functions.
Amongst the areas are:
While the talk will be at the general colloquium level (i.e. no previous technical exposure to machine learning is needed) we will nonetheless try to explain some of the difficulties involved.
For the last fifteen years, Larry Manevitz has been the Director of the
Neurocomputation Laboratory at the University of Haifa, located in
Israel. Currently, his laboratory (neurocomputation.wordpress.com)
focuses mostly on machine learning of cognitive mental functions and
some brain modeling. His Ph.D. was from Yale University, Department of
Mathematics with a specialty in mathematical logic (under Prof. Abraham
Robinson of "non-standard analysis" fame.)
He has worked in applied (to other areas of mathematics) model theory, foundations of combining uncertainty (a sub-field of Artificial Intelligence) and theoretical and applied areas of neurocomputation and their relationship to cognition.
He will be visiting the Department of Computer Science at Otago University through September and would be very pleased to meet people from other departments as well during his stay.
Larry M. Manevitz
Director, Neurocomputation Laboratory
Caesarea Rothschild Insitute and Department of Computer Science
University of Haifa
Last modified: Thursday, 06-Oct-2016 09:55:51 NZDT
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