Statistics Seminar: A Latent Factor Multivariate Point Process Model for Inferring the Neural Code
Presenter: Reza Ramezan, Associate Professor, Teaching Stream (Research Active), University of Waterloo Description: Neural spike trains are electrochemical signals that are localized in time and serve as the primary means of communication among nerve cells. The analysis of simultaneously recorded spike trains from multiple neurons presents substantial statistical and computational challenges. In this talk, I […]