À part les cours du Cogmaster, dont le contenu est sur moodle, tous les supports de mes cours sont accessibles sur le serveur du laboratoire.
Enseignements (en cours)
| Since 2022 | Paris Science Lettres (PSL/ENS), Theoretical neuroscience Course coordinator: J.-P. Nadal | Reinforcement learning (Lecture: 2h) |
| Since 2021 | Univ. Paris Cité, Artificial Intelligence for Health Diploma Course coord.: S. Allassonnière & G. Assié | Using AI to model human learning behavior and related brain activity (Lecture: 1h + Lab: 2h) |
| Since 2020 | Univ. Paris-Saclay (Orsay), Master 2 of Computational Neuro. & Neuro-Eng. Course coordinator: V. Ego-Stengel | Reinforcement Learning, Neuroscience & Robotics applications (Lecture: 3h) |
| Since 2020 | Sorbonne Univ., Medical Studies, Behavioral Insights in Medicine Course Course coord.: B. Rohaut & C. Lakhlifi | Cognitive illusions and critical thinking (Lecture: 1h30) |
| Since 2019 | Univ. Lyon 2, Master 2 of Cognitive Sciences Course coordinator: G. Plancher | Robotic modelling approaches to Cognitive Sciences (Lecture: 3h) |
| Since 2019 | AgroParisTech, 5th year of Engineering school Course coordinator: N. Darcel | Reinforcement learning and dopamine (Lecture: 3h) |
| Since 2019 | Univ. Athens, Athens master program in neurosciences Course coordinator: S. Efthimiopoulos | Reinforcement learning, dopamine and behavioral adaptation (Lecture: 2h) |
| Since 2015 | Paris Science Lettres (PSL/ENS) / EHESS / Univ. Paris Cité, CogMaster Course coord.: M. Khamassi & B. Girard | Robotic modelling approaches to Cognitive Sciences (Lectures: 12h + Supervision) |
| Since 2014 | Sorbonne University (ex UPMC), Master 2 of Computer Science (ANDROIDE) Course coordinator: N. Bredèche | Neuro-inspired reinforcement learning (Lecture: 2h + Project supervision) |
Enseignements (passés)
Voir CV.
