TITLE: Modeling of BrainMap data
AUTHORS: Finn Årup Nielsen and Lars Kai Hansen
Department of Mathematical Modelling, Building 321
Technical University of Denmark, DK-2800 Lyngby, Denmark
We apply machine learning techniques in the form of Gaussian mixture
models to functional brain activation data. The dataset was extracted
through the WWW interface to the BrainMap(tm)
(Research Imaging Center, University of Texas Health Science Center
at San Antonio) neuroimaging database.
Modeling of the joint probability structure of activation foci and
other database entries (e.g. behavioral domain, modality) enables us to
summarize the accumulated body of activation coordinates in the form of
a 3D density and allows us to explore issues like
the effect of the experimental modality on the resulting brainmap.
Submitted for NIPS'99, Denver, Colorado, 1999.