[pymvpa] sensitivity analysis as feature selection in searchlight analysis

[Danilo Bzdok]

Hi there,

I am wondering whether the PyMVPA API allows not only ANOVA-based
feature selection as a preprocessing step during a searchlight
analysis but also a sensitivity analysis based on LinearNuSVMC for
example? In a way, this would probably be equivalent to a
single-iteration recursive feature selection before actual
classification in each searchlight. I would be happy for any advice...

Best,
--
===================================
Dr. med. Danilo Bzdok
Post-Doc
Brain Network Modelling Group
Institute for Neuroscience and Medicine (INM-1)
Research Centre Juelich
Germany

Phone +49 2461 618609
Mail d.bzdok at fz-juelich.de