Transcriptomic cell type structures in vivo neuronal activity across multiple timescales von Schneider, Aidan, Azabou, Mehdi, McDougall-Vigier, Louis, Parks, David F., Ensley, Sahara, Bhaskaran-Nair, Kiran, Nowakowski, Tomasz, Dyer, Eva L., Hengen, Keith B.

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GraphFM: A Scalable Framework for Multi-Graph Pretraining von Lachi, Divyansha, Azabou, Mehdi, Arora, Vinam, Dyer, Eva

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Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis von Azabou, Mehdi, Mendelson, Michael, Ahad, Nauman, Sorokin, Maks, Thakoor, Shantanu, Urzay, Carolina, Dyer, Eva L

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Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution von Zhang, Yizi, Wang, Yanchen, Jimenez-Beneto, Donato, Wang, Zixuan, Azabou, Mehdi, Richards, Blake, Winter, Olivier, Laboratory, International Brain, Dyer, Eva, Paninski, Liam, Hurwitz, Cole

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Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution von Zhang, Yizi, Wang, Yanchen, Jimenez-Beneto, Donato, Wang, Zixuan, Azabou, Mehdi, Richards, Blake, Winter, Olivier, Laboratory, International Brain, Dyer, Eva, Paninski, Liam, Hurwitz, Cole

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Half-Hop: A graph upsampling approach for slowing down message passing von Azabou, Mehdi, Ganesh, Venkataramana, Thakoor, Shantanu, Lin, Chi-Heng, Sathidevi, Lakshmi, Liu, Ran, Valko, Michal, Veličković, Petar, Dyer, Eva L

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Making transport more robust and interpretable by moving data through a small number of anchor points von Lin, Chi-Heng, Azabou, Mehdi, Dyer, Eva L

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Learning Behavior Representations Through Multi-Timescale Bootstrapping von Azabou, Mehdi, Mendelson, Michael, Sorokin, Maks, Thakoor, Shantanu, Ahad, Nauman, Urzay, Carolina, Dyer, Eva L

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Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers von Liu, Ran, Azabou, Mehdi, Dabagia, Max, Xiao, Jingyun, Dyer, Eva L

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Learning signatures of decision making from many individuals playing the same game von Mendelson, Michael J, Azabou, Mehdi, Jacob, Suma, Grissom, Nicola, Darrow, David, Ebitz, Becket, Herman, Alexander, Dyer, Eva L

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GraphFM: A Scalable Framework for Multi-Graph Pretraining von Lachi, Divyansha, Azabou, Mehdi, Arora, Vinam, Dyer, Eva

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A Unified, Scalable Framework for Neural Population Decoding von Azabou, Mehdi, Arora, Vinam, Ganesh, Venkataramana, Mao, Ximeng, Nachimuthu, Santosh, Mendelson, Michael J, Richards, Blake, Perich, Matthew G, Lajoie, Guillaume, Dyer, Eva L

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A Unified, Scalable Framework for Neural Population Decoding von Azabou, Mehdi, Arora, Vinam, Ganesh, Venkataramana, Mao, Ximeng, Nachimuthu, Santosh, Mendelson, Michael J., Richards, Blake, Perich, Matthew G., Lajoie, Guillaume, Dyer, Eva L.

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Learning signatures of decision making from many individuals playing the same game von Mendelson, Michael J, Azabou, Mehdi, Jacob, Suma, Grissom, Nicola, Darrow, David, Ebitz, Becket, Herman, Alexander, Dyer, Eva L

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Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity von Liu, Ran, Azabou, Mehdi, Dabagia, Max, Lin, Chi-Heng, Azar, Mohammad Gheshlaghi, Hengen, Keith B, Valko, Michal, Dyer, Eva L

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MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction von Quesada, Jorge, Sathidevi, Lakshmi, Liu, Ran, Ahad, Nauman, Jackson, Joy M, Azabou, Mehdi, Xiao, Jingyun, Liding, Christopher, Jin, Matthew, Urzay, Carolina, Gray-Roncal, William, Johnson, Erik C, Dyer, Eva L

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Large-Scale Representation Learning on Graphs via Bootstrapping von Thakoor, Shantanu, Tallec, Corentin, Azar, Mohammad Gheshlaghi, Azabou, Mehdi, Dyer, Eva L, Munos, Rémi, Veličković, Petar, Valko, Michal

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Making transport more robust and interpretable by moving data through a small number of anchor points von Chi-Heng, Lin, Azabou, Mehdi, Dyer, Eva L

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Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis von Azabou, Mehdi, Mendelson, Michael, Nauman Ahad, Sorokin, Maks, Thakoor, Shantanu, Urzay, Carolina, Dyer, Eva L

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Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers von Liu, Ran, Azabou, Mehdi, Dabagia, Max, Xiao, Jingyun, Dyer, Eva L

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