Author

Javier García Ciudad

University of Copenhagen

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· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:mouse· 1

Frequent Co-Authors

Alessandro SilvaniiD· 1 shared Alexander Neergaard Zahid· 1 shared Anastasia Tsopanidou· 1 shared Antoine AdamantidisiD· 1 shared Birgitte Rahbek KornumiD· 1 shared Chiara BerteottiiD· 1 shared Christelle PeyroniD· 1 shared Christine EgebjergiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alessandro SilvaniORCID

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1 paper

Recent·Most cited

Lack of Consensus for Manual Mouse Sleep Scoring Limits Implementation of Automatic Deep Learning Models

Laura Rose, Alexander Neergaard Zahid, Javier García Ciudad, Christine Egebjerg, Louise Piilgaard, Frederikke Lynge Sørensen, Mie Maar Andersen, Tessa Radovanovic, Anastasia Tsopanidou, Maiken Nedergaard, Sébastien Arthaud, Renato Marciano Maciel, Christelle Peyron, Chiara Berteotti, Viviana Lo Martire, , Birgitte Rahbek Kornum

This study shows that automatic deep learning models for mouse sleep scoring struggle to generalize across labs due to signal variability and label noise, and proposes four robust models trained on diverse data.

bioRxiv · Mar 30, 2026 · PreprintNeuroscience