[FieldTrip] classification with 3 conditions?

Akiko Ikkai akiko.ikkai at gmail.com
Wed Apr 10 00:32:44 CEST 2013


I have a 3 conditions, A, B, and C in my MEG data. Multivariate
classification using selected sensors between conditions A and B, B and C,
and A and C work beautifully with chance = 50%. I'm now curious whether I
could run a classification of 3 conditions with chance = 33%.

ft_freqstatistics could take more than 2 frequency datasets as inputs, but
ft_statistics_crossvalidate using +dmlt/svm.m seems to require 2 datasets
(because it's using a linear kernel?).

Does anyone have suggestions how I might go about it...?
Thanks in advance! Akiko

Akiko Ikkai, Ph.D.
Postdoctoral Fellow
Department of Psychological and Brain Sciences
Johns Hopkins University
Ames Hall, 3400 N. Charles St.
Baltimore, MD 21218
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