I would say it all depends on many factors, such as problem at hand, classifier, etc. So not sure if anything systematic and actually generically useful could be done/stated. But have a look may be at Jo's paper.
Etzel JA, Zacks JM, Braver TS. Searchlight analysis: Promise, pitfalls, and potential. Neuroimage. 2013. PMCID: PMC3988828 On October 8, 2018 7:55:43 AM EDT, Alyson Saenz <neuro.aly...@gmail.com> wrote: >Dear PyMVPA community, > >Does anyone know a paper in which someone has explored the effect of >different searchlight radius? > >I know that a bigger radius increases performance but also processing >time, >and that at some point you will get bad performances, but, has anyone >systematically explored this? > >Thanks for your help > >Alyson -- Yaroslav O. Halchenko (mobile version) Center for Open Neuroscience http://centerforopenneuroscience.org Dartmouth College, NH, USA
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