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Representation of cognitive processes using the minimum spanning tree of local meshes.

, , , , and . EMBC, page 6780-6783. IEEE, (2013)

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Mesh learning for object classification using fMRI measurements., , , , , and . ICIP, page 2631-2634. IEEE, (2013)Functional Mesh Learning for pattern analysis of cognitive processes., , , , and . ICCI*CC, page 161-167. IEEE Computer Society, (2013)Representation of cognitive processes using the minimum spanning tree of local meshes., , , , and . EMBC, page 6780-6783. IEEE, (2013)Using Ensembles of Cognitive Models to Answer Substantive Questions., , , and . CogSci, cognitivesciencesociety.org, (2018)Mesh learning approach for brain data modeling., , , , and . SIU, page 1-4. IEEE, (2012)The Medial Temporal Lobe and the Left Inferior Prefrontal Cortex Jointly Support Interference Resolution in Verbal Working Memory., , and . J. Cognitive Neuroscience, 21 (10): 1967-1979 (2009)Optimizing Design Efficiency of Free Recall Events for fMRI., , and . J. Cognitive Neuroscience, 22 (10): 2238-2250 (2010)Modeling the Brain Connectivity for Pattern Analysis., , , , , , and . ICPR, page 3339-3344. IEEE Computer Society, (2014)Cognitive process representation with minimum spanning tree of local meshes., , , , and . SIU, page 1-4. IEEE, (2013)Information distribution analysis in the fMRI measurements with degree of locality estimation., , , , and . SIU, page 1-4. IEEE, (2013)