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Dyer’s research interests lie at the intersection of machine learning, optimization, and neuroscience. Her lab develops computational methods for discovering principles that govern the organization and structure of the brain, as well as methods for integrating multi-modal datasets to reveal the link between neural structure and function.
Research Interests
Papers共 79 篇Author StatisticsCo-AuthorSimilar Experts
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ICLR 2024 (2024)
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arxiv(2024)
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David F Parks,Aidan M Schneider, Yifan Xu, Samuel J Brunwasser, Samuel Funderburk, Danilo Thurber, Tim Blanche,Eva L Dyer,David Haussler,Keith B Hengen
Nature neuroscience (2024)
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Carolina Urzay,Nauman Ahad,Mehdi Azabou,Aidan Schneider, Geethika Atamkuri,Keith B Hengen,Eva L Dyer
International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering (2023): 1-4
James N McGregor,Clayton A Farris,Sahara Ensley,Aidan Schneider, Chao Wang, Yuqi Liu, Jianhong Tu,Halla Elmore, Keenan D Ronayne,Ralf Wessel,Eva L Dyer,Kiran Bhaskaran-Nair,
bioRxiv : the preprint server for biology (2023)
Brain Stimulationno. 2 (2023): 2-2
ICML 2023 (2023): 1341-1360
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