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Activity Number:
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478
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Type:
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Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #305453 |
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Title:
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Statistical Analysis of Single-Unit Firing-Rate
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Author(s):
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Sam Behseta*+ and Robert E. Kass
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Companies:
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California State University and Carnegie Mellon University
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Address:
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9001 Stockdale Highway, Bakersfield, CA, 93311,
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Keywords:
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Bayesian functional data analysis ; bars ; multiple curve fitting ; bootstrap ; analysis of neuronal data ; Gaussian filter
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Abstract:
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In this work, we consider the problem of comparing trial-averaged firing-rate functions across multiple experimental conditions. We are interested in comparisons within neurons and among populations of individually recorded neurons. This is a natural extension to our previous work (Behseta and Kass 2005), in which we developed methodologies for comparing two functions. We propose a series of likelihood ratio--based tests that may be used to perform such comparisons either pointwise or globally over the entire experimental time. An extended simulation study of power demonstrates the strength of these tests, even for moderate sample sizes. Finally, we implement these tests on a group of neurons recorded from the visual cortex of a monkey's brain.
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