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GT Neuro Seminar Series

Event Details

Monday, November 11, 2019

11:15am - 12:15pm

Krone Engineered Biosystems Building, Room 1005 - Atlanta, GA

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Event Details

Maryam Shanechi, Ph.D.
Assistant Professor
Viterbi Early Career Chair in Electrical and Computer Engineering
Viterbi School of Engineering
University of Southern California

“Neural Decoding and Control of Multiscale Brain Networks: From Motor to Mood”

In this talk, I first discuss our recent work on modeling, decoding, and controlling multisite human brain activity underlying mood states. I present a multiscale dynamical modeling framework that allows us, for the first time, to decode mood variations and identify brain sites that are most predictive of mood. I then develop a system identification approach that can predict large-scale brain network dynamics (output) in response to electrical stimulation (input) to enable closed-loop control of brain activity. Finally, I demonstrate that our modeling framework can uncover multiscale neural dynamics from hybrid spike-field activity in monkeys performing unconstrained movements and can further combine information from multiple scales of activity and model their different time-scales and statistical profiles. These models, decoders, and controllers could facilitate future closed-loop therapies for neurological and neuropsychiatric disorders and help probe neural circuits.

Last revised July 15, 2020