An Approach from Lattice Computing to fMRI Analysis
نویسندگان
چکیده
We introduce an approach to fMRI analysis based on the Lattice Associative Memory (LAM) Endmember Induction Heuristic Algorithm (EIHA). Induced endmembers are used to compute the activation levels of voxels as result of an unmixing process. The endmembers correspond to diverse activation patterns, one of these activation patterns corresponds to the rest state of the neuronal tissue. We introduce a lattice normalization which consists in the mean centering for each voxel patttern independently. This lattice normalization is needed to remove scaling effects that rendered our approach inapplicable. Results on a case study are encouraging.
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