Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Journal Article

Functional mixed-effect models for electrophysiological responses


Davidson,  Douglas
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available

Davidson, D. (2009). Functional mixed-effect models for electrophysiological responses. Neurophysiology, 41(1), 71-79. doi:10.1007/s11062-009-9079-y.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-B655-B
In electro/psychophysiological experiments, linear mixed-effect modeling is an effective statistical technique for data repeatedly observed from the same experimental participants or stimulus items. This review describes the application of mixed-effect modeling to functional responses, in particular those observed in event-related EEG or MEG experiments, using a discrete wavelet transform. The technique is illustrated with a design with several covariates, and procedures for generating posterior samples and computing a Bayesian false discovery rate are described. © 2009 Springer Science+Business Media, Inc.