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Larry Manevitz, University of Haifa, Israel


Discovering Informational Biomarkers for Cognitive Tasks: Recent Examples and Lessons from Neurocomputation.


Owheo G34 - 1:00 pm, Friday 5 August


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.

Short Bio:

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 ( 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
Haifa, Israel

Last modified: Thursday, 06-Oct-2016 09:55:51 NZDT

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