Author

Huaxinyu Wang

University of Cambridge

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Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

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Ekaterina MorozovaiD· 1 shared Eve E. MarderiD· 1 shared Maria Ivanova· 1 shared Thiago B. BurghiiD· 1 shared Timothy O’LearyiD· 1 shared

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Recent·Most cited

Rapid, interpretable, data-driven models of neural dynamics using Recurrent Mechanistic Models

Thiago B. Burghi, Maria Ivanova, Ekaterina Morozova, Huaxinyu Wang, Eve E. Marder, Timothy O’Leary

This paper introduces Recurrent Mechanistic Models (RMMs) for predicting neural dynamics, showing they can be trained quickly and are interpretable for small circuits.

Proceedings of the National Academy of Sciences · Aug 4, 2025Peer-reviewedNeuroscience