Author

Ethan YiXun Xu

Columbia University

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Neuroscience· 1

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Assay:electronic health records· 1

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Andrew M. SheltoniD· 1 shared Chandramouli ChandrasekaraniD· 1 shared Charlie WindolfiD· 1 shared Cole HurwitziD· 1 shared Eric LeeiD· 1 shared Eva L. DyeriD· 1 shared Fan YangiD· 1 shared Han Young YuiD· 1 shared

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1 shared paperNeuroscience

Andrew M. SheltonORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintNov 5, 2024

In vivo cell-type and brain region classification via multimodal contrastive learning

Han Young Yu, Hanrui Lyu, Ethan YiXun Xu…·Cole Hurwitz

This paper introduces NEMO, a multimodal contrastive learning method for classifying cell types and brain regions from electrophysiological data, achieving state-of-the-art results on two opto-tagged datasets and the International Brain Laboratory Brain-wide Map dataset.

11 citations

electronic health recordscontrastive learning

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