Time Series Analysis for Neuroscience Research

Prerequisites: (CASMA 213 or CASMA 681) AND (CASMA 242) AND (CASMA 665) AND (CASMA 666) or consent of instructor. - Provides an overview of statistical time-series modeling for neuroscience applications. Topics include regression and generalized linear modeling, state space modeling, and parametric and nonparametric spectral analysis. Special emphasis on reading and discussing applications in recent literature.