CCSP Seminar: Behtash Babadi, "Dynamic Network-Level Analysis of Neural Data Underlying Behavior"
Communications, Control and Signal Processing Seminar
Dynamic Network-level Analysis of Neural Data Underlying Behavior: Beyond the Linear, Static, and Gaussian Domains
Electrical and Computer Engineering and Institute for Systems Research
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.