Searchmight Toolbox

Searchmight is a toolbox designed specifically for information mapping (a.k.a. "searchlight maps") using machine learning classifiers, developed by the Botvinick Lab in the Princeton Neuroscience Institute. We aim to make comparison of several different classifiers feasible, and provide a unified statistical testing procedure for the resulting maps. In more detail, the toolbox features: Searchmight was developed to make it easier to perform the experiments described in this paper

"Information Mapping With Pattern Classifiers"(to appear in NeuroImage)

which also serves as a tutorial for the approach in general.

Download the toolbox

We distribute binaries to avoid having to ask people to compile a few of the classifiers (e.g. LIBSVM): Please let me know if these do not work for you.

Things to consider

Frequently Asked Questions

If you have a question that is not answered here or in the documentation, or want to contact us for any other reason, please email