Assessment of synchrony in multiple neural spike trains using loglinear point process models

Assessment of Synchrony in Multiple Neural Spike Trains Using Loglinear Point Process Models By

Neural spike trains, which are sequences of very brief jumps in voltage across the cell membrane, were one of the motivating applications for the development of point process methodology. Early work required the assumption of stationarity, but contemporary experiments often use time-varying stimuli and produce time-varying neural responses. More recently, many statistical methods have been deve...

Assessment of Synchrony in Multiple Neural Spike Trains Using Loglinear Point Process Models.

Neural spike trains, which are sequences of very brief jumps in voltage across the cell membrane, were one of the motivating applications for the development of point process methodology. Early work required the assumption of stationarity, but contemporary experiments often use time-varying stimuli and produce time-varying neural responses. More recently, many statistical methods have been deve...

Statistical models of spike trains∗

Inference About Functional Connectivity From Multiple Neural Spike Trains

In neuroscience study, it is desirable to understand how the neuronal activities are associated and how the association changes with time based on multiple spike train recordings from multielectrode array. The term functional connectivity is used to describe the association between neurons and the change of association with task purpose. In this proposed thesis, I will study the statistical det...

Encoding Chaos in Neural Spike Trains

Kristen A. Richardson,1,2 Thomas T. Imhoff,1 Peter Grigg,3 and James J. Collins1,2,* 1Center for BioDynamics, Boston University, 44 Cummington Street, Boston, Massachusetts 02215 2Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston, Massachusetts 02215 3Department of Physiology, University of Massachusetts Medical Center, Worcester, Massachusetts 01655 (Receive...