[pymvpa] sensitivity analysis as feature selection in searchlight analysis

Danilo Bzdok d.bzdok at fz-juelich.de
Wed Apr 24 09:11:55 UTC 2013

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...

Dr. med. Danilo Bzdok
Brain Network Modelling Group
Institute for Neuroscience and Medicine (INM-1)
Research Centre Juelich

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

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