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Joan A. Hoffmann

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Conference and Workshop Papers

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2022
[c1]
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  - conf/ijcnn/Norman-TenazasR22
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  - https://dblp.org/rec/conf/ijcnn/Norman-TenazasR22
Raphael Norman-Tenazas, Brian S. Robinson, Justin Joyce, Isaac Western, Erik C. Johnson, William R. Gray Roncal, Joan A. Hoffmann:
Continuous State Estimation With Synapse-constrained Connectivity. IJCNN 2022: 1-9

Informal and Other Publications

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2023
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  - journals/corr/abs-2305-17300
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Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann:
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR abs/2305.17300 (2023)

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