Title: Modeling and Analysis of Multi-neuronal Spike Train Data
Advisor: Professor Vijay Nair
Committee Members: Assistant Professor Long Nguyen, Assistant Professor Stilian Stoev
Abstract: The time sequence of spikes generated by a set of neurons is referred to as multi-neuronal spike train data. Recent technical advances have allowed neuroscientists to collect and analyze huge amount of electrophysiological data at finer time scales. We propose some methods for modeling and estimating the connectivities among neurons and show through preliminary analysis how they can be used to identify the network structure. Several directions for future work are discussed.