Author

Thiago B. Burghi

University of CambridgeORCID 0000-0001-7416-3433Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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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 Huaxinyu Wang· 1 shared Maria Ivanova· 1 shared Timothy O’LearyiD· 1 shared

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1 shared paperNeuroscience

Ekaterina MorozovaORCID

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1 paper

Recent·Most cited

NeuroscienceProceedings of the National Academy of SciencesPeer-reviewedAug 4, 2025

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

Thiago B. Burghi, Maria Ivanova, Ekaterina Morozova…·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.

6 citations

electronic health recordsstatistical model

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