Yaroslav beat me to the response, thanks! Another potentially useful paper is https://arxiv.org/abs/1210.6317v1 (On the geometric structure of fMRI searchlight-based information maps. Shivakumar Viswanathan, Matthew Cieslak, Scott T. Grafton).
I personally haven't been working on interpreting searchlight analyses lately; my general interpretation is that results (particularly group level) are more believable if they appear over a sensible range of searchlight radii (e.g., with both 2 and 3-voxel). Effects that only appear with a particular searchlight radius would need to be accompanied by some convincing evidence for why that specificity is meaningful (instead of some quirk). Jo On 10/8/2018 7:39 AM, Yaroslav Halchenko wrote: > 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 > > -- Joset A. Etzel, Ph.D. Staff Scientist Cognitive Control & Psychopathology Lab Washington University in St. Louis mvpa.blogspot.com _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list Pkg-ExpPsy-PyMVPA@alioth-lists.debian.net https://alioth-lists.debian.net/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa