Author

Jasmine T. Stone

University of CambridgePrimary ORCID profile (0000-0003-0690-0141 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Jasmine T. StoneiD4 papers · Columbia University

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Assay:electronic health records· 1 Organism:non-human primate· 1 Research Focus:trajectory inference· 1 Approach:variational autoencoder· 1

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Guillaume HennequiniD· 1 shared Kristopher Torp JenseniD· 1 shared Ta-Chu Kao· 1 shared

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2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Guillaume HennequinORCID

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1 paper

Recent·Most cited

Scalable Bayesian GPFA with automatic relevance determination and discrete noise models

Kristopher Torp Jensen, Ta-Chu Kao, Jasmine T. Stone, Guillaume Hennequin

This paper introduces a scalable Bayesian Gaussian process factor analysis (bGPFA) for neural data, showing it captures preparatory dynamics and long-timescale processes in primate motor cortex.

bioRxiv · Jun 3, 2021 · PreprintNeuroscience