Author

Sepiedeh Keshavarzi

Sainsbury Wellcome CentreORCID 0000-0002-7310-8034Unclaimed ORCID profile · follow to get notified of new preprints

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 Approach:deep learning· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Troy W. MargrieiD· 3 shared Adam L. TysoniD· 2 shared Dario CampagneriD· 2 shared Tiago BrancoiD· 2 shared A. Vanessa StempeliD· 1 shared Charly V. Rousseau· 1 shared Christian J. Niedworok· 1 shared Chryssanthi TsitouraiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersNeuroscience

Troy W. MargrieORCID

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Author profile →

3 papers

Recent·Most cited

A cortico-collicular circuit for accurate orientation to shelter during escape

Dario Campagner, Ruben Duque do Vale, Yu Lin Tan, Παναγιώτα Ιορδανίδου, Oriol Pavón Arocas, Federico Claudi, A. Vanessa Stempel, Sepiedeh Keshavarzi, Rasmus Strange Petersen, Troy W. Margrie, Tiago Branco

This paper identifies a cortico-collicular circuit in mice that encodes shelter direction and is essential for accurate orientation during escape.

Nature · Dec 21, 2022Peer-reviewedNeuroscience

The retrosplenial cortex combines internal and external cues to encode head velocity during navigation

Sepiedeh Keshavarzi, Edward F. Bracey, Richard Faville, Dario Campagner, Adam L. Tyson, Stephen C. Lenzi, Tiago Branco, Troy W. Margrie

This study identifies that vestibular inputs dominate angular head velocity coding in the retrosplenial cortex, while visual input enhances its accuracy during navigation.

Neuron · Nov 16, 2021Peer-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