Author

Charly V. Rousseau

Centre National de la Recherche Scientifique

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1

Frequent Co-Authors

Adam L. TysoniD· 2 shared Chryssanthi TsitouraiD· 2 shared Lee CosselliD· 2 shared Troy W. MargrieiD· 2 shared Alexandre MamaneiD· 1 shared Christian J. Niedworok· 1 shared Dan A GaneaiD· 1 shared Federico ClaudiiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersNeuroscience

Adam L. TysonORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Coexistence of state, choice, and sensory integration coding in barrel cortex LII/III

Pierre-Marie Gardères, Sébastien Le Gal, Charly V. Rousseau, Alexandre Mamane, Dan A Ganea, Florent Haiss

The paper investigates how choice and sensory signals coexist in barrel cortex layer II/III during a perceptual decision task, finding they operate in separate subspaces.

Nature Communications · Jun 5, 2024Peer-reviewedNeuroscience

Tools for accurate post hoc determination of marker location within whole-brain microscopy images

Adam L. Tyson, Mateo Vélez‐Fort, Charly V. Rousseau, Lee Cossell, Chryssanthi Tsitoura, Stephen C. Lenzi, Horst Andreas Obenhaus, Federico Claudi, Tiago Branco, Troy W. Margrie

The paper develops open-source Python tools for accurately mapping the location of dye-labelled probes and fluorescent cells in whole-brain microscopy images.

Scientific Reports · Jan 18, 2022Peer-reviewedNeuroscience

A deep learning algorithm for 3D cell detection in whole mouse brain image datasets

Adam L. Tyson, Charly V. Rousseau, Christian J. Niedworok, Sepiedeh Keshavarzi, Chryssanthi Tsitoura, Lee Cossell, Molly Strom, Troy W. Margrie

The paper introduces a deep learning algorithm for automated 3D detection of neuronal somata in whole mouse brain images, demonstrating its effectiveness on fluorescently labeled cell populations.

PLoS Computational Biology · May 28, 2021Peer-reviewedNeuroscience