Author

V. Papaspyros

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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Animal Behavior & Cognition· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:statistical model· 1 Organism:zebrafish· 1

Frequent Co-Authors

C. Sire· 2 shared F. Mondada· 2 shared G. Theraulaz· 2 shared R. Escobedo· 2 shared A. Alahi· 1 shared F. Bonnet· 1 shared V. Lecheval· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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2 shared papersAnimal Behavior & Cognition

C. Sire

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Author profile →

2 papers

Recent·Most cited

Predicting long-term collective animal behavior with deep learning

V. Papaspyros, R. Escobedo, A. Alahi, G. Theraulaz, C. Sire, F. Mondada

This paper introduces a deep learning model to predict long-term collective behavior in fish and compares it to analytical models and experiments.

bioRxiv · Feb 15, 2023 · PreprintAnimal Behavior & Cognition

A data-driven method for reconstructing and modelling social interactions in moving animal groups

R. Escobedo, V. Lecheval, V. Papaspyros, F. Bonnet, F. Mondada, C. Sire, G. Theraulaz

The paper introduces a data-driven method to reconstruct social interactions in moving animal groups and applies it to shoaling fish to create predictive models of collective behavior.

bioRxiv · Oct 24, 2019Animal Behavior & Cognition