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Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for More Robust, Efficient, and Adaptable Artificial Intelligence

Erik C. Johnson,Brian S. Robinson,Gautam K. Vallabha,Justin Joyce,Jordan K. Matelsky,Raphael Norman-Tenazas,Isaac Western,Marisel Villafane-Delgado,Martha Cervantes,Michael S. Robinette, Arun V. Reddy,Lindsey Kitchell,Patricia K. Rivlin,Elizabeth P. Reilly,Nathan Drenkow,Matthew J. Roos, I-Jeng Wang,Brock A. Wester,William R. Gray-Roncal,Joan A. Hoffmann

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS V（2023）

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Key words
Machine learning,continual learning,SWaP,Computational Neuroscience,Connectomics
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