Premium
Testing equality of several functions: Analysis of single‐unit firing‐rate curves across multiple experimental conditions
Author(s) -
Behseta Sam,
Kass Robert E.,
Moorman David E.,
Olson Carl R.
Publication year - 2007
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.2940
Subject(s) - pointwise , multiple comparisons problem , computer science , cortical neurons , sample size determination , statistics , mathematics , neuroscience , psychology , mathematical analysis
We consider the problem of comparing noisy functions, here trial‐averaged neuronal firing‐rate curves, across multiple experimental conditions. Of interest are comparisons both within neurons and also among populations of individually recorded neurons. We propose likelihood ratio tests to perform comparisons either pointwise or globally over the entire experimental time. A simulation study of power demonstrates the strength of these tests even for moderate sample sizes. We implement these tests on a group of 233neurons recorded from primate frontal oculomotor cortex, first, to screen for condition‐related differential activity and, second, to search for neurons displaying interesting time‐locked features that vary with condition. Copyright © 2007 John Wiley & Sons, Ltd.