Linking Structure and Function in Macroscale Brain Networks von Suárez, Laura E., Markello, Ross D., Betzel, Richard F., Misic, Bratislav

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Gradients of structure–function tethering across neocortex von Vázquez-Rodríguez, Bertha, Suárez, Laura E., Markello, Ross D., Shafiei, Golia, Paquola, Casey, Hagmann, Patric, van den Heuvel, Martijn P., Bernhardt, Boris C., Spreng, R. Nathan, Misic, Bratislav

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neuromaps: structural and functional interpretation of brain maps von Markello, Ross D., Hansen, Justine Y., Liu, Zhen-Qi, Bazinet, Vincent, Shafiei, Golia, Suárez, Laura E., Blostein, Nadia, Seidlitz, Jakob, Baillet, Sylvain, Satterthwaite, Theodore D., Chakravarty, M. Mallar, Raznahan, Armin, Misic, Bratislav

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A connectomics-based taxonomy of mammals von Suarez, Laura E, Yovel, Yossi, van den Heuvel, Martijn P, Sporns, Olaf, Assaf, Yaniv, Lajoie, Guillaume, Misic, Bratislav

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Quantifying synergy and redundancy between networks von Luppi, Andrea I., Olbrich, Eckehard, Finn, Conor, Suárez, Laura E., Rosas, Fernando E., Mediano, Pedro A.M., Jost, Jürgen

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Learning function from structure in neuromorphic networks von Suárez, Laura E., Richards, Blake A., Lajoie, Guillaume, Misic, Bratislav

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Connectome-based reservoir computing with the conn2res toolbox von Suárez, Laura E., Mihalik, Agoston, Milisav, Filip, Marshall, Kenji, Li, Mingze, Vértes, Petra E., Lajoie, Guillaume, Misic, Bratislav

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Evaluation of the computational capabilities of a memristive random network (MN3) under the context of reservoir computing von Suarez, Laura E., Kendall, Jack D., Nino, Juan C.

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Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers von Luppi, Andrea I., Achterberg, Jascha, Schmidgall, Samuel, Bilgin, Isil Poyraz, Herholz, Peer, Sprang, Maximilian, Fockter, Benjamin, Ham, Andrew Siyoon, Thorat, Sushrut, Ziaei, Rojin, Milisav, Filip, Proca, Alexandra M., Tolle, Hanna M., Suárez, Laura E., Scotti, Paul, Gellersen, Helena M.

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Prevalence and factors associated with initial and subsequent shockable cardiac arrest rhythms and their association with patient outcomes in dogs and cats undergoing cardiopulmona... von Vega Suarez, Laura, Epstein, Steven E, Martin, Linda G, Davidow, Elizabeth B, Hoehne, Sabrina N

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DEEP LEARNING IN BIPARTITE MEMRISTIVE NETWORKS von Nino, Juan C, Suarez, Laura E, Kendall, Jack D

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DEEP LEARNING IN BIPARTITE MEMRISTIVE NETWORKS von NINO, Juan C, KENDALL, Jack D, SUAREZ, Laura E

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MaMI dataset von Suarez, Laura E., Yoval, Yossi, van den Heuvel, Martijn P., Sporns, Olaf, Lajoie, Guillaume, Misic, Bratislav

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DEEP LEARNING IN BIPARTITE MEMRISTIVE NETWORKS von NINO, Juan C, KENDALL, Jack D, SUAREZ, Laura E

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Deep learning in bipartite memristive networks von Nino, Juan C, Suarez, Laura E, Kendall, Jack D

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DEEP LEARNING IN BIPARTITE MEMRISTIVE NETWORKS von NINO, Juan C, KENDALL, Jack D, SUAREZ, Laura E

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DEEP LEARNING IN BIPARTITE MEMRISTIVE NETWORKS von Nino, Juan C, Suarez, Laura E, Kendall, Jack D

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Quantifying synergy and redundancy between networks von Luppi, Andrea I, Olbrich, Eckehard, Finn, Conor, Suárez, Laura E, Rosas, Fernando E, Mediano, Pedro AM, Jost, Jürgen

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Connectome-based reservoir computing with the conn2res toolbox von Suárez, Laura E, Mihalik, Agoston, Milisav, Filip, Marshall, Kenji, Li, Mingze, Vértes, Petra E, Lajoie, Guillaume, Misic, Bratislav

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Quantifying synergy and redundancy in multiplex networks von Luppi, Andrea I, Olbrich, Eckehard, Finn, Conor, Suárez, Laura E, Rosas, Fernando E, Mediano, Pedro A. M, Jost, Jürgen

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