Connectionists: BRAIN READING USING FULL BRAIN SUPPORT VECTOR MACHINES FOR OBJECT RECOGNITION: There is no face identification area."

[Stephen J. Hanson]

This is a new paper to appear to in NEURAL COMPUTATION which may be of
interest:

Abstract

Over the last decade object recognition work has confounded voxel
response detection with potential voxel class identification.
Consequently, the claim that there are areas of the brain that are
necessary and sufficient for object identification cannot be resolved
with existing associative methods (e.g. GLM) that are dominant in brain
imaging methods. In order to explore this controversy we trained full
brain (40k voxels) single TR classifiers on data from 10 subjects in two
different recognition tasks on the most controversial classes of stimuli
("HOUSE" and "FACE") and show 97.4% median out-of-sample (unseen TRs)
generalization. This performance allowed us to reliably and uniquely
assay the classifier's voxel diagnosticity in all individual subject's
brains: In this two class case there may be specific areas diagnostic
for HOUSE stimuli (e.g. "LO") or for FACE stimuli (e.g "STS"), however,
in contrast to the detection results common in this literature neither
the FFA or PPA are shown to be uniquely diagnostic for FACEs or PLACEs
respectively.


/http://www.psych.rutgers.edu/~jose/hanson_halchenko_inpress.pdf

Steve Hanson

-- 
Stephen J. Hanson
Professor
Psychology Department
Rutgers University (Newark Campus)

Research Professor Information Science, NJIT
Director of RUMBA Center, Rutgers
Co-Director of Advanced Imaging Lab, UMDNJ/Rutgers

email: jose at tractatus.rutgers.edu
fax: 973-353-1171
tel: 973-353-5440 x 228