Author

F. Mondada

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· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:zebrafish· 2 Assay:behavioral assay· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

C. Sire· 2 shared F. Bonnet· 2 shared G. Theraulaz· 2 shared R. Escobedo· 2 shared V. Papaspyros· 2 shared A. Alahi· 1 shared A. Gribovskiy· 1 shared J. Halloy· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersAnimal Behavior & Cognition

C. Sire

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Author profile →

3 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

Strategies to modulate zebrafish collective dynamics with a closed-loop biomimetic robotic system

Y. Chemtob, L. Cazenille, F. Bonnet, A. Gribovskiy, F. Mondada, J. Halloy

This study uses biomimetic robots to modulate zebrafish group behavior in complex setups by replicating fish social strategies.

bioRxiv · Nov 8, 2019Animal 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