Author

Sébastien Wolf

Centre National de la Recherche ScientifiqueORCID 0000-0001-9394-3291Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Assay:electronic health records· 1 Assay:imaging· 1 Organism:zebrafish· 1

Frequent Co-Authors

Georges DebrégeasiD· 2 shared Guillaume Le GociD· 1 shared Jérôme TubianaiD· 1 shared Rémi MonassoniD· 1 shared Simona CoccoiD· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersNeuroscience

Georges DebrégeasORCID

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2 papers

Recent·Most cited

NeuroscienceeLifePeer-reviewedMar 14, 2023

Emergence of time persistence in an interpretable data-driven neural network model

Sébastien Wolf, Guillaume Le Goc, Georges Debrégeas…·Rémi Monasson

The paper develops an interpretable neural network model to capture slow dynamics in zebrafish swimming circuits using functional neural recordings.

8 citations

zebrafishelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintJun 28, 2017

Blind sparse deconvolution for inferring spike trains from fluorescence recordings

Jérôme Tubiana, Sébastien Wolf, Georges Debrégeas

This paper introduces a blind sparse deconvolution algorithm for inferring spike trains from fluorescence recordings, showing improved robustness, speed, and accuracy over existing methods.

4 citations

imagingstatistical model

𝕏 PostBluesky