Art IntellWednesday 17 November at 11h30, (Seminar room of the UCL , 13, rue Moreau , 75012 Paris)

Presentation by Karim G. Oweiss (McKnight Brain Institute and the Fixel Brain Institute for Neurological Disorders.University of Florida)

"From Biological Intelligence to Artificial Intelligence and Back: Interrogation of Neural Circuit Function and Dysfunction"

Invited by Valentina Emiliani

The places in our meeting room are limited to about 50 persons and their access will be restricted to those in possession of a COVID vaccination certificate !


This talk will be also accessible via ZOOM

Our ultimate understanding of the brain as a complex system is reflected in our ability to predict its dynamics in the normal state and eventually control these dynamics in the pathological state. Interest in interrogating neural circuit dynamics at cellular and population levels has been surging, but the extent to which inference of the underlying computations that could eventually help restore lost sensorimotor function remains a significant challenge. In this talk, I will discuss how neural population dynamics are key mediator of cognitive functions such as perception, decision making and motor control. I will then discuss how these computational principles can be used to develop novel machine ‘reasoning’ approaches that are currently lacking in today’s AI technology. I will demonstrate how this framework can be used to artificially shape neural population dynamics to accelerate associative learning. I will conclude with a demonstration of how it can be used to optimize both open- and closed-loop deep brain stimulation therapy in humans with severe essential tremor.

Karim G. Oweiss received his Ph.D. degree (2002) in Electrical Engineering and Computer Science from the University of Michigan, Ann Arbor, USA. He held the position of Assistant (2003-2009) then Associate (2009-2014) Professor of Electrical and Computer Engineering and Neuroscience at Michigan State University. In 2014, he joined the University of Florida as a Pre-eminent Professor of Electrical and Computer Engineering, Biomedical Engineering, Neuroscience and Neurology at the McKnight Brain Institute and the Fixel Brain Institute for Neurological Disorders. His interests are in the study of neural mechanisms of sensorimotor integration, the development of AI to engineer clinically viable brain machine interfaces for restoring, replacing or augmenting damaged neurological functions. He has published over 160 peer-reviewed conference and journal publications, is a fellow of the IEEE and a member of the Society for Neuroscience. He received the excellence in Neural Engineering award from the National Science Foundation in 2001. He is the editor and co-author of the book: Statistical Signal Processing for Neuroscience and Neurotechnology, published by Academic Press in 2010.