Author

Sahar Minavi

Allen Institute

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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

Frequent Co-Authors

Andrew M. SheltoniD· 1 shared Chandramouli ChandrasekaraniD· 1 shared Charlie WindolfiD· 1 shared Cole HurwitziD· 1 shared Eric LeeiD· 1 shared Ethan YiXun Xu· 1 shared Eva L. DyeriD· 1 shared Fan YangiD· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Andrew M. SheltonORCID

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1 paper

Recent·Most cited

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

Han Young Yu, Hanrui Lyu, Ethan YiXun Xu, Charlie Windolf, Eric Lee, Fan Yang, Andrew M. Shelton, Shawn R. Olsen, Sahar Minavi, Olivier Winter, Eva L. Dyer, Chandramouli Chandrasekaran, Nicholas A. Steinmetz, Liam Paninski, 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.

bioRxiv · Nov 5, 2024 · PreprintNeuroscience