JSM 2005 Online Program

Abstract #304403

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	481
Type:	Contributed
Date/Time:	Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Biometrics Section
Abstract - #304403
Title:	The Analysis of Multiple Neuron Spike Trains
Author(s):	Zhenglei Gao*+ and Michael Lavine and Paul Marriott
Companies:	Duke University and Duke University and University of Waterloo
Address:	215 Anderson Apt D, Durham, NC, 27705, United States
Keywords:	Random Walk Model ; multiple spike trains ; inverse Gaussian
Abstract:	Despite that single-unit recording is a dominant methodology in neuroscience, neurons apparently act in ensembles. Therefore multielectrode arrays were surgically implanted to record large numbers of neurons simultaneously. However, there is a bottle-neck in analyzing this type of data. In this talk, a simple Random Walk Model is proposed to analyze stimulus-response data recorded by multiple electrodes. Following this model, the interspike interval (ISI) distribution is inverse Gaussian (IG). For 88 cells in HP, S1, and VPM, the IG probability model gave better fits to the spike trains than the inhomogeneous Poisson model, while as good as the inhomogeneous model. Other diffusion models will be introduced and possibilities on extending or generalizing the simple Random Walk Model to analyze multiple spike trains will be discussed.

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