Event
CCSP Seminar: Behtash Babadi, "Dynamic Network-Level Analysis of Neural Data Underlying Behavior"
Thursday, November 21, 2019
5:00 p.m.-6:30 p.m.
AVW 2168
Ajaykrishnan Nageswaran
301 405 3661
ajayk@umd.edu
http://ccsp.ece.umd.edu/
Communications, Control and Signal Processing Seminar
Dynamic Network-level Analysis of Neural Data Underlying Behavior: Beyond the Linear, Static, and Gaussian Domains
Behtash Babadi
Assistant Professor
Electrical and Computer Engineering and Institute for Systems Research
Abstract
In this talk, I present computational methodologies for extracting dynamic neural functional networks that underlie behavior. These methods aim at capturing the sparsity, dynamicity and stochasticity of these networks, by integrating techniques from high-dimensional statistics, point processes, state-space modeling, and adaptive filtering. I demonstrate their utility using several case studies involving auditory processing, including 1) functional auditory-prefrontal interactions during attentive behavior in the ferret brain, 2) network-level signatures of decision-making in the mouse primary auditory cortex, and 3) cortical dynamics of speech processing in the human brain.
