This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
629
|
Type:
|
Contributed
|
Date/Time:
|
Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
|
Sponsor:
|
ENAR
|
Abstract - #309339 |
Title:
|
Predicting Neural Spike Train Using Peers' Activities: Likelihood-Based Approach
|
Author(s):
|
Ruiwen Zhang*+
|
Companies:
|
The University of North Carolina at Chapel Hill
|
Address:
|
University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599,
|
Keywords:
|
neuronal spike train ;
point process ;
likelihood function ;
peer prediction
|
Abstract:
|
Neurons can produce action potentials with high temporal precision. The discrete, all-or-nothing nature of a sequence of neuronal action potentials together with their stochastic structure suggests that a spike train can be viewed as a point process. Likelihood function starting from the point process has been derived and popularly used in the field of neuron spike train analysis to estimate some biologically interpretable parameters. In this paper, a general statistical framework based on the point process likelihood function is constructed to predict neuron spike trains. From the result, both the real data analysis and the simulation, we can draw two conclusions as (a) better predictions can be made by involving more peer information and (b) one can have unbiased estimation by using the likelihood-based approach which is validated in the simulation.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2010 program
|
2010 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.