2025Activity reportProject-TeamEPIMETHEE
RNSR: 202324452H- Research center Inria Paris Centre
- In partnership with:Institut Pasteur, CNRS
- Team name: Experimental and computational approaches to probe the mind of insects
Creation of the Project-Team: 2023 October 01
Each year, Inria research teams publish an Activity Report presenting their work and results over the reporting period. These reports follow a common structure, with some optional sections depending on the specific team. They typically begin by outlining the overall objectives and research programme, including the main research themes, goals, and methodological approaches. They also describe the application domains targeted by the team, highlighting the scientific or societal contexts in which their work is situated.
The reports then present the highlights of the year, covering major scientific achievements, software developments, or teaching contributions. When relevant, they include sections on software, platforms, and open data, detailing the tools developed and how they are shared. A substantial part is dedicated to new results, where scientific contributions are described in detail, often with subsections specifying participants and associated keywords.
Finally, the Activity Report addresses funding, contracts, partnerships, and collaborations at various levels, from industrial agreements to international cooperations. It also covers dissemination and teaching activities, such as participation in scientific events, outreach, and supervision. The document concludes with a presentation of scientific production, including major publications and those produced during the year.
Keywords
Computer Science and Digital Science
- A3.4. Machine learning and statistics
- A5.2. Data visualization
- A5.3. Image processing and analysis
- A5.6. Virtual reality, augmented reality
- A6.1. Methods in mathematical modeling
- A6.5. Mathematical modeling for physical sciences
- A9.3. Signal processing
- A9.7. AI algorithmics
- A9.11. Generative AI
- A9.13. Agentic AI
Other Research Topics and Application Domains
- B1. Life sciences
- B1.1. Biology
- B1.2. Neuroscience and cognitive science
- B2. Digital health
- B5.10. Biotechnology
1 Team members, visitors, external collaborators
Research Scientists
- Jean-Baptiste Masson [Team leader, INSTITUT PASTEUR, Researcher]
- Alex Barbier–Chebbah [Inria, ISFP, from Oct 2025]
- Francois Laurent [INSTITUT PASTEUR, Senior Researcher]
- Christian Vestergaard [CNRS, Senior Researcher]
Post-Doctoral Fellow
- fleur gaudferneau [institut pasteur]
PhD Students
- Astrid Nilsson [INSTITUT PASTEUR]
- Iwan Quemada [INSTITUT PASTEUR]
- eleonore bouchereau [INSERM]
- Paul hellegouarch [institut pasteur]
- heloise prevot [cnrs]
Technical Staff
- erwan celaniw [cnrs, Engineer]
- clement vorms [institut pasteur, Engineer]
Administrative Assistants
- Frederique Bouchot [INSTITUT PASTEUR, from Jun 2025]
- Martial Le Henaff [INRIA]
- Nelly Maloisel [INRIA]
2 Overall objectives
The objective of the Épiméthée laboratory is to explore and understand the organizing principles of biological information processing, particularly focusing on how evolution shapes efficient neural networks in insects to process complex sensory signals and generate behaviors. By combining physical modeling, Bayesian inference, numerical simulations, information theory, and biological experiments, the laboratory aims to decipher the relationship between biophysical constraints and neural architectures. This interdisciplinary approach seeks to develop mathematical and software frameworks for artificial biological information processing, ultimately contributing to advancements in computational neuroscience, embodied neuroAI, and the characterization of neurodegenerative and neuroinflammatory diseases at the circuit level.
3 Research program
Our research is structured around three primary initiatives and a central application, all aimed at understanding the neural mechanisms underlying decision-making and behavior in insects, particularly Drosophila larvae. The initiatives include graph approaches to neural connectomes, physical constraints on behavior, and embodied neuroAI, with a main application focused on neurodegenerative and neuroinflammatory diseases.
Graph Approaches to Neural Connectomes
This initiative focuses on exploring generative approaches to analyze and model neural connectomes, leveraging advances in electron and light microscopy. The research aims to characterize neural connectomes at the mesoscopic scale, identifying statistically significant motifs and understanding their functional roles. By employing lossless graph compression and generative latent-space modeling, the laboratory seeks to uncover the topological features and spatial embedding of neural networks, which are crucial for understanding their function and evolution.
Physical Constraints on Behavior
The second initiative investigates how physical constraints influence the behavior and neural architecture of Drosophila larvae. By modeling larval movements at multiple scales and characterizing the physical constraints associated with motion strategies, the research aims to understand the link between neural architecture and embodiment. This involves developing a framework for modeling, estimation of local and non-local constraints, and capturing the subtle physical characteristics of the larva to understand its interaction with the environment.
Embodied NeuroAI
The embodied neuroAI initiative integrates the findings from the previous two initiatives to explore the role of embodiment in structuring the larval nervous system. The research seeks to simulate and characterize identified neural circuits, infer evolutionary changes in decision circuits, and evolve neural networks in simulated physics environments. By leveraging physical models of larvae and simulations of sensory environments, the laboratory aims to optimize circuit architecture and explore the diversity of neural architectures that can implement biological decisions.
The methodological core of the research program includes amortized inferences and simulations, statistical properties of graphs, and approximating decision-making. These methodologies are essential for developing the simulation-based inference models, graph analysis techniques, and decision-making frameworks that underpin the laboratory's research initiatives.
Software Development
The laboratory is also committed to developing software platforms, such as Nyx and Eurynomé, to support data processing, simulation, and analysis of larval experiments. These platforms will facilitate the integration of experimental data with neural activity models, enabling the study of the relationship between physical constraints and neural architecture.
4 Application domains
The lab's research has broad application domains, spanning computational neuroscience, artificial intelligence, and biomedical research. By focusing on the neural mechanisms of insects, particularly Drosophila larvae, the laboratory aims to uncover fundamental principles of neural information processing that can inform the development of advanced AI systems and neurotechnologies. The laboratory's work in graph approaches to neural connectomes provides insights into the structural and functional organization of neural networks, which can be applied to improve machine learning algorithms and neural network designs. Additionally, the study of physical constraints on behavior offers valuable knowledge for robotics and autonomous systems, where understanding the interplay between physical embodiment and neural control is crucial for developing efficient and adaptive machines. The embodied neuroAI initiative further explores these concepts by integrating biological principles into AI, potentially leading to more robust and biologically plausible AI models. Moreover, the laboratory's focus on neurodegenerative and neuroinflammatory diseases at the circuit level has significant implications for medical research, offering new perspectives on disease mechanisms and potential therapeutic strategies. By leveraging the genetic tools available in Drosophila, the laboratory can model and study these diseases in ways that are not feasible with traditional mammalian models, potentially accelerating the discovery of new treatments.
5 Social and environmental responsibility
5.1 Footprint of research activities
The Épiméthée laboratory is committed to minimizing the environmental impact of its research activities. By focusing on Drosophila larvae as a model organism, the laboratory reduces the need for larger, more resource-intensive animal models. This approach not only aligns with ethical considerations in animal research but also lowers the carbon footprint associated with maintaining and experimenting on larger animals. Additionally, the laboratory employs computational and simulation-based methods, which are inherently less resource-intensive compared to traditional wet-lab experiments.
5.2 Impact of research results
By advancing our understanding of neural information processing in insects, the laboratory contributes to the development of more efficient and biologically plausible AI systems. These advancements can lead to innovations in robotics and autonomous systems, enhancing their ability to operate in complex environments with minimal energy consumption.
Furthermore, the laboratory's focus on neurodegenerative and neuroinflammatory diseases offers promising avenues for medical research. By providing insights into disease mechanisms at the circuit level, the research may accelerate the development of targeted therapies, potentially reducing the societal burden of these diseases. Additionally, the laboratory's commitment to open-source software development and collaboration fosters a broader impact on the scientific community, promoting the sharing of knowledge and resources to drive collective progress in neuroscience and AI.
6 Highlights of the year
6.1 Awards
Innovator price Le Point (2025)
7 Latest software developments, platforms, open data
7.1 Latest software developments
7.1.1 nyx
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Name:
Nyx
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Keywords:
3D, Finite element modelling, Machine learning, Ethology, Unsupervised learning, Statistical inference, Bayesian estimation
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Functional Description:
Nyx uses : -> Larva Tagger to generate classifiers of larva behaviour and annotate data -> a SOFA based finite element simulation framework of the body including muscle -> a CNS simulation framework based on the larva neural connectome
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Contact:
Francois Laurent
7.2 New platforms
Participants: Christian Vestergaard, Francois Laurent, Alex Barbier–CHebbah, JB Masson.
The larva Hub is associated to the PIQ INRIA Larvatech and propose a full cloud based platform for drosophila larva behaviour, neural computation and physical motion analysis.
7.3 Open data
8 New results
8.1 Insects decline
Participants: JB Masson, Francois Laurent.
Lautaro Gandara et al. ,Pervasive sublethal effects of agrochemicals on insects at environmentally relevant concentrations.Science386,446-453(2024).DOI:10.1126/science.ado0251
Summary
Our paper investigates the sublethal effects of agrochemicals on insects, focusing on how low doses of pesticides impact the behavior and physiology of Drosophila melanogaster larvae. Using a comprehensive library of 1024 agrochemicals, the study reveals that a significant proportion of these chemicals, even at environmentally relevant concentrations, alter larval behavior and compromise long-term survivability. The research highlights that sublethal doses induce widespread changes in the phosphoproteome and affect development and reproduction, with these effects being amplified at higher temperatures. The findings suggest that sublethal pesticide exposure may contribute to the global decline in insect populations, emphasizing the need for more comprehensive chemical safety assessments.
Our achievements include the development of a high-throughput screening platform to assess the impact of a wide range of pesticides on insect behavior and physiology. By demonstrating that even non-insecticide pesticides can have significant effects on larval survivability and behavior, the research underscores the importance of considering sublethal effects in pesticide regulation. The work also extends its findings to other insect species, such as mosquitoes and butterflies, indicating the broad relevance of these effects across different ecological contexts. This research provides valuable insights for improving the precision of agrochemical use and mitigating their unintended consequences on insect biodiversity.
8.2 statistical testing
Participants: JB Masson, Francois Laurent, Alexandre Blanc, Chloe Barre, Alexis benichou, Christian Vestergaard.
We have developed a suite of statistical methods to detect subtle behavioral changes in Drosophila melanogaster larvae in response to neural manipulation. Understanding how the nervous system generates behavior remains a fundamental challenge in neuroscience, but existing approaches often miss subtle behavioral modulations that may have significant biological implications. We addressed this gap by analyzing an unprecedented dataset of over 280,000 larvae across 569 genetic lines, focusing specifically on responses to air-puff stimuli. Our approach integrates multiple timescales of behavioral dynamics with advanced statistical techniques to identify neurons that induce subtle but significant behavioral changes.
Our methodological innovations include four major components: a physics-informed Bayesian approach that regularizes larval shape inference across the entire dataset; an unsupervised kernel-based method for statistical testing in learned behavioral spaces to detect subtle deviations in behavior; a generative model for larval behavioral sequences that serves as a benchmark for identifying higher-order behavioral changes; and a comprehensive analysis technique using suffix trees to categorize genetic lines into clusters based on common action sequences. These approaches have significantly expanded our catalog of "hit" neurons beyond those previously identified through conventional methods. Notably, we discovered neurons that modulate behavioral responses to different stimulus intensities and others that influence higher-order sequence structure without changing individual action probabilities. These findings advance our understanding of the neural mechanisms underlying behavior generation and decision-making, demonstrating the power of sophisticated statistical approaches in revealing subtle but important biological phenomena
8.3 Behavioural choices
Participants: JB Masson, Francois Laurent, Alexandre Blanc, Chloe Barre, Alexis benichou, Christian Vestergaard.
In our recent study, we delved into the intricate neural mechanisms that underlie the adaptive defensive behaviors in Drosophila larvae, focusing on how these organisms respond to various threatening stimuli in their environment. Our approach combined advanced techniques such as neuronal manipulations, machine learning-based behavioral detection, electron microscopy (EM) connectomics, and calcium imaging to map the specific neural circuits involved in these behaviors. By leveraging the genetic tractability of Drosophila and its well-characterized nervous system, we aimed to uncover how second-order interneurons differentially influence the competition between startle and escape behaviors in response to aversive cues. This research not only sheds light on the fundamental principles of neural circuit function but also provides insights into how context-dependent modulation of behavioral responses is achieved at the neuronal level.
Our findings revealed that specific second-order interneurons play a crucial role in modulating the balance between startle and escape behaviors in Drosophila larvae. Through detailed EM connectomics and calcium imaging, we identified key interneurons, such as A19c and early-born ELs, that are differentially involved in these defensive actions. We demonstrated that mechanosensory stimulation can inhibit escape behaviors in favor of startle responses by influencing the activity of these interneurons. Furthermore, our study highlighted the role of descending neurons in promoting startle behaviors and potentially modulating the escape sequence. These results collectively underscore the complexity and flexibility of neural circuits in orchestrating context-appropriate defensive behaviors, offering a deeper understanding of the neural basis of adaptive behavior in response to environmental threats.
9 Bilateral contracts and grants with industry
9.1 Bilateral contracts with industry
- NVIDIA - support the project on foetus of the lab - will sign an MOU with pasteur (reflexion on signing something with INRIA)
9.2 Bilateral Grants with Industry
Participants: JB Masson, Francois Laurent, Christian Vestergaard.
- ANR with Orange - microbrain on Edge
- Cifre with Biomerieux started in december 2025
10 Partnerships and cooperations
10.1 International initiatives
10.1.1 Participation in other International Programs
NeuroAI
Participants: Christian Vestergaard, Francois Laurent, Alex Barbier–Chebbah, Astrid Nilson, Heloise prevot, jb masson.
10.2 International research visitors
10.2.1 Visits to international teams
Research stays abroad
JB Masson
- Visited institution:Janelia reserch campus
- Country:USA
- Dates:year 2025
- Context of the visit:collaboration Zlatic & Turaga
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Mobility program/type of mobility:
(Visiting Scientist)
Francois laurent
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Visited institution
:Cambridge LMB
- Country:UK
- Dates:year 2025
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Context of the visit
:collaboration Zlatic
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Mobility program/type of mobility:
(Visiting Scientist)
10.3 European initiatives
10.3.1 H2020 projects
Participants: jb masson.
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FEDER
:Foetus IDF
10.4 National initiatives
Participants: jb masson.
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IHU ReConnect
:WP6
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IHU ICE
:WP4
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RHU ReBone
:WP1,5 Co-lead
10.5 Regional initiatives
Participants: Christian Vestergaard, Francois Laurent, Alex Barbier–Chebbah, JB Masson.
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DIM:
C-Brain
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PrAIrie:
3 chairs
10.6 Public policy support
Participants: JB Masson.
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Senat:
Machine learning in animal research
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IHDEN:
Auditeur SNC-7/SN4
11 Dissemination
11.1 Promoting scientific activities
11.1.1 Scientific events: organisation
General chair, scientific chair
- KITP Program “Neurophysics of Active Sensing” (neurosensing25), Kavli Institute for Theoretical Physics, UC Santa Barbara, 14 July–15 August 2025. Jean-Baptiste Masson participated in this multi-week research program on active sensory strategies in biological organisms. Coordinators: D. Kleinfeld (UCSD), M. Louis, P. Ramdya (EPFL), T. Sharpee, J. H. Simpson.
- Neural Networking Night seminar series, Le Piano Vache, Paris, recurring (e.g. 13 June 2025). The lab provides essential equipment for this Île-de-France computational neuroscience community seminar. Organizers: A. Cayco-Gajic (ENS), S. Ostojic (ENS/CNRS), J. Barbosa (INSERM), M. Graupner (Université Paris Cité).
Member of the organizing committees
- PINTS – Paris Île-de-France Neuroscience, Theory, and Systems, ENS Paris, 6 December 2024. Annual symposium for cognitive, computational, and systems neuroscience in the Paris region.
- GDR NeuralNet 2024 – 13th Annual Meeting, NeuroPSI, Campus CEA Saclay, 13–15 November 2024. Organizing committee includes Tihana Jovanic, close collaborator of the lab.
11.1.2 Invited talks
- Audition before the French Senate (Commission des affaires économiques, AI hearing series “Intelligence artificielle: quelles ambitions?”), Palais du Luxembourg, Paris, 21 January 2026.
- Bernstein Conference 2025, Goethe University Frankfurt, Germany, 28 September–2 October 2025. Flagship European conference on computational neuroscience.
- COSYNE 2025 (22nd Computational and Systems Neuroscience Conference), Montreal & Mont-Tremblant, Canada, 27 March–1 April 2025. Premier computational/systems neuroscience conference.
- APS Global Physics Summit 2025 (Joint March + April Meeting), Anaheim, California, 16–21 March 2025. World's largest physics conference (14,000+ attendees).
- Conference on Complex Systems 2025 (CCS 2025), University of Siena, Italy, 1–5 September 2025. Flagship annual meeting of the Complex Systems Society.
11.1.3 Leadership within the scientific community
- PR[AI]RIE Chair holder – Jean-Baptiste Masson holds a chair at the PR[AI]RIE institute (PaRis Artificial Intelligence Research InstitutE), one of France's four 3IA institutes.
- “Ambassadeur IA Santé” (AI Health Ambassador), named 1 July 2025 as part of the national “Osez l'IA” plan (€200M government initiative led by Minister Clara Chappaz). Part of a cohort of 300 ambassadors tasked with accelerating AI adoption across French enterprises by 2030.
- IHEDN Auditor – Nominated by Prime Minister decree (24 June 2024) as auditor of the 4th National Session of IHEDN (Institut des Hautes Études de Défense Nationale), cycle 2024–2025, major “Souveraineté numérique et cybersécurité.”
- FHU FOR LIFE – The lab is one of 10 research teams in the FHU FOR LIFE (Fédération de Recherche pour la mise en Lumière par l'Imagerie du Foetus), labelled 2025–2029, led by Pr Laurent Salomon (Necker).
- IHU-ICE (IHU Robert-Debré du Cerveau de l'Enfant) – The Masson lab and its BAOBAB platform are listed among the research teams of this France 2030–funded IHU (€50M) dedicated to children's neurodevelopmental disorders.
- IHU reConnect – Participation in this first European IHU dedicated to hearing and speech disorders (€40M, France 2030). Consortium meeting 6–7 March 2025, Institut de l'Audition, Paris.
- RHU REBONE (€24.6M, France 2030, 2024–2029) – Lab member of this major RHU project on real-time preoperative 3D reconstruction for bone repair surgery. Scientific and Technical Advisory Board participation.
11.1.4 Scientific expertise
- Expert commentator for Le Monde on AI in psychiatry (Callyope startup, voice biomarkers and generative AI for psychiatric monitoring), published 14 January 2026.
- Care Insight – In-depth expert interview on AI in pediatrics (published 25 November 2025), covering data heterogeneity, digital twins limitations in living systems, and regulatory barriers for health AI in Europe.
- White papers on AI in Healthcare (2024): co-author of “Données de santé artificielles: analyse et pistes de réflexion” (synthetic health data) and “AI in Healthcare: Keys to Innovation While Addressing Digital Sovereignty Challenges.”
- Jury member, AI projects – CNAM (Conservatoire National des Arts et Métiers), 3 September 2025. External evaluator for AI projects.
- Jury member, Institut Imagine, 3 March 2025. External evaluator for PhD/grant applications at this leading European center for genetic diseases.
11.1.5 Research administration
- Direction meeting with Prof. Yasmine Belkaid (Director General, Institut Pasteur) regarding the Neuroscience Department strategy, 15 September 2025.
- Journées du Département de Neuroscience, Institut Pasteur, 8 September 2025. Internal annual departmental retreat.
- Journées RHU ANR, 10 September 2025. Annual review of RHU-funded projects under France 2030 (participation through RHU REBONE).
11.2 Teaching - Supervision - Juries - Educational and pedagogical outreach
11.2.1 Supervision
- Prix du Meilleur PSC de l'X (2025) – Supervised the winning Projet Scientifique Collectif at École Polytechnique.
11.2.2 Juries
- Jury IA projets CNAM, Conservatoire National des Arts et Métiers, Paris, 3 September 2025.
- Jury Imagine, Institut Imagine, Hôpital Necker-Enfants Malades, Paris, 3 March 2025.
11.2.3 Educational and pedagogical outreach
- Cours IA Sénologie, 21 November 2024. Specialized course on AI applied to breast imaging, aimed at radiologists and breast surgeons.
- Neuropédiatrie UPC, 2 December 2024. Neuropediatrics seminar/presentation at Université Paris Cité.
11.3 Popularization
11.3.1 Specific official responsibilities in science outreach structures
- Ambassadeur IA Santé – Official AI Health Ambassador under the national “Osez l'IA” plan (Ministry of Economy), from 1 July 2025. Role involves promoting AI adoption in the health sector across French enterprises, as part of a cohort of 300 ambassadors.
11.3.2 Productions (articles, videos, podcasts, serious games, ...)
- Le Monde – “Santé mentale: grâce à l'IA, Callyope veut aider les psychiatres à prévenir les rechutes de leurs patients,” by Laure Belot, published 14 January 2026. Jean-Baptiste Masson quoted as expert on medical AI and European positioning in digital health.
- France Culture – “La Science, CQFD” – Episode “Jumeaux numériques et médecine: le patient modèle” ( 58 min), 2025. Radio show on digital twins in healthcare, with J.-B. Masson and Anna Niarakis (Univ. Toulouse). Hosted by Natacha Triou & Antoine Beauchamp.
- BFM Business – “Tech & Co”, 18 November 2025. TV appearance on the PR[AI]RIE institute and Avatar Medical.
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Polytechnique Insights – Tribunes:
- “L'IA peut-elle remplacer l'expérimentation animale?” (18 June 2024), with J.-M. Besnier (Sorbonne) and N. David (École Polytechnique).
- “Vers une psychiatrie augmentée par le numérique” (10 December 2024), with P.-A. Geoffroy (GHU Paris).
- Magazine Science et Cerveau – “Étudier le cerveau des larves drosophiles pour mieux comprendre les maladies neurologiques,” June–August 2024, pp. 14–15. Feature article on the lab's Drosophila larva research.
- Fort Éclair podcast (Association des Jeunes IHEDN), 2024. Podcast appearance on defense and digital sovereignty topics.
- France Bioimaging interview – “Meeting with Jean-Baptiste Masson: from lab to Avatar Medical start-up,” 2025.
- Enjeux Numériques – Annales des Mines, 2023. Contribution on virtual worlds perspectives and challenges.
11.3.3 Participation in Live events
- Visit of Yaël Braun-Pivet (President of the French National Assembly) to Institut Pasteur on World Cancer Day, 4 February 2026. Tour of the DBC-EPI lab, meeting with Director General Yasmine Belkaid, and press conference.
- La Nuit de la French Tech London – Panel “AI's role in biomedical engineering & healthcare decision-making,” 29 January 2025, London. Official pre-event for the 2025 AI Action Summit (Paris). Co-panelists: Karim Beguir (InstaDeep), Prof. Alison Noble (Oxford).
- Forum Innovation Défense (FID) 2025, Porte de Versailles, Paris, 27–29 November 2025. France's flagship defense innovation event (100+ exhibitors, 100+ innovation projects). Organized by AID/DGA, Ministère des Armées.
- MedInTechs 2025, Parc Floral de Paris, 10–11 March 2025. French health innovation and medical technology trade show.
- École de Guerre – Académie des Sciences cycle, 2025. Participation in the Sciences cycle at the École de Guerre.
11.3.4 Others science outreach relevant activities
- Per Fumum event, 3 April 2025. Participation in an event organized by the Fonds de Dotation Per Fumum (dedicated to France's olfactory heritage), connecting to the lab's neuroscience research on olfactory search strategies.
- Le Point – Palmarès des Innovateurs (2024). Jean-Baptiste Masson named laureate in Le Point magazine's annual ranking of French innovators.
- Carnot Label – Institut Pasteur (2023). Feature and video interview on the “Fondamentalement Appliqué” series about the lab-to-startup journey (Avatar Medical).
12 Scientific production
12.1 Major publications
- 1 articleApproximate information for efficient exploration-exploitation strategies.Physical Review E 1095July 2023, L052105HALDOI
- 2 miscApproximate information maximization for bandit games.November 2024HALDOI
- 3 articleCompression-based inference of network motif sets.PLoS Computational Biology2010October 2024, e1012460HALDOI
- 4 articleLarvaTagger: Manual and automatic tagging of Drosophila larval behaviour.Bioinformatics407July 2024, btae441HALDOI
- 5 articleNeural circuits underlying context-dependent competition between defensive actions in Drosophila larvae.Nature Communications161January 2025, 1120HALDOI
- 6 articleRedefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report.Infectious Disease Modelling92June 2024, 501-518HALDOI
- 7 articleMotion of VAPB molecules reveals ER–mitochondria contact site subdomains.Nature62679972024, 169-176HALDOI
- 8 articleMulti-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.IEEE Transactions on Medical Imaging442024, 1257-1272.HALDOI
- 9 articleConfinement energy landscape classification reveals membrane receptor nano-organization mechanisms.Biophysical Journal12313August 2024, 1882-1895HALDOI
12.2 Publications of the year
International journals
Reports & preprints