Livres
Stefana Broadbent, Florian Forestier, Mehdi Khamassi, Célia Zolynski. Pour une nouvelle culture de l’attention: Que faire de ces réseaux sociaux qui nous épuisent ? Editions Odile Jacob, 2024. Paru le 17 avril 2024.

Mehdi Khamassi (Dir.). Neurosciences cognitives. Éditions de Boeck Supérieur. ISBN : 978-2-8073-2921-8. Paru le 12 octobre 2021.

Chapitres :
1 Perception et attention – Thérèse Collins et Laura Dugué
2 Le cerveau, le mouvement, et les espaces – Alain Berthoz
3 Étude des systèmes de mémoire dans le cadre d’un comportement : la navigation – Laure Rondi-Reig
4 Décision et action – Alizée Lopez-Persem et Mehdi Khamassi
5 Neurolinguistique – Perrine Brusini et Élodie Cauvet
6 Conscience et métacognition – Louise Goupil et Claire Sergent
7 Cognition sociale – Marwa El Zein, Louise Kirsch et Lou Safra
8 Psychologie et neurosciences : enjeux pour l’éducation – Emmanuel Sander, Hippolyte Gros, Katarina Gvozdic et Calliste Scheibling-Sève
9 Initiation à la modélisation computationnelle – Anne Collins et Mehdi Khamassi
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Sélection de publications récentes
Neurosciences
- Nemeth, R., Chartouny, A., Jedlovzky, K., Freire, I.T. and Khamassi, M. (2025). The hippocampus as an epistemic forager: When curiosity and reward jointly steer exploration and hippocampal replay. bioRxiv, 2025.10.31.685837.
- Khamassi, M., Peyrache, A., Benchenane, K., Hopkins, D.A., Lebas, N., Douchamps, V., Droulez, J., Battaglia, F.P. and Wiener, S.I. (2024). Rat anterior cingulate neurons responsive to rule or strategy changes are modulated by the hippocampal theta rhythm and sharp-wave ripples. European Journal of Neuroscience, doi:10.1111/ejn.16496.
- Lobato, I.N., Aleman-Zapata, A., Samanta, A., Bogers, M., Narayanan, S., Rayan, A., Alonso, A., van der Meij, J., Khamassi, M., Khan, Z.U., Genzel, L. (2023). Increased cortical plasticity leads to memory interference and enhanced hippocampal-cortical interactions. eLife, 12:e84911.
- Wittmann, M.K., Fouragnan, E., Folloni, D., Klein-Flügge, M.C., Chau, B., Khamassi, M. and Rushworth, M.F.S. (2020). Global reward state affects learning, the raphe nucleus, and anterior insula in monkeys. Nature Communications, 11(1):1-17.
- Cinotti, F.* and Fresno, V.* and Aklil, N. and Coutureau, E. and Girard, B. and Marchand, A.° and Khamassi, M.° (2019). Dopamine blockade impairs the exploration-exploitation trade-off in rats. Scientific Reports, 9:6770. (* equally contributing authors) (° equally contributing senior authors)
Psychologie expérimentale computationnelle
- Griessinger, T., Coricelli, G.* and Khamassi, M.* (2026). Belief over Reward in Human and AI Competition. Nature Computational Science. To appear (* equal contribution)
- Lakhlifi, C., Kouzy, R., Lejeune, F. X., Beuzon, N., Mawet, J., Roos, C., Khamassi, M., Rohaut, B. and Rouault, M. (2026). Physicians’ metacognition in medical decision-making. Neuroscience of Consciousness. To appear.
- Beaumont, S., Khamassi, M., and Domenech, P. (2025). Recasting adaptation as strategy inference. bioRxiv, 2025-03.
- Chartouny, A., Girard, B. and Khamassi, M. (2025). A model-based introduction to curiosity. arXiv, 2025.11.19.689250.
- Lakhlifi, C., Lejeune, F.-X., Rouault, M., Khamassi, M. and Rohaut, B. (2023). Illusion of knowledge in statistics among clinicians: Evaluating the alignment between objective accuracy and subjective confidence, an online survey. Cognitive Research: Principles and Implications, 8(1), 23. Featured in an editorial of the British Journal of Psychiatry, 223:341-342 (2023): “In work to make both David Dunning and Justin Kruger proud, Lakhlifi et al ask the smarter question …”
Robotique
- Lavault, S.*, Desmons, C.*, Hajage, D., Mazel, A., Plumet, F., Gauthier, P., Peiffer, C., Chetouani, M., Niérat, M.-C., Pelachaud, C., Khamassi, M., Similowski, T. (2026). Breathing life into robots: pseudo-respiration enhances human-robot interaction – a behavioural study. International Journal of Social Robotics, 18(59), doi: 10.1007/s12369-026-01388-w. (* equal contribution)
- Chartouny, A., Amini, K., Khamassi, M., Girard, B. (2024). A new paradigm to study social and physical affordances as model-based reinforcement learning. Cognitive Robotics, 4:142-155.
- Dromnelle, R., Renaudo, E., Chetouani, M., Maragos, P., Chatila, R., Girard, B. and Khamassi, M. (2023). Reducing computational cost during robot navigation and human-robot interaction with a human-inspired reinforcement learning architecture. International Journal of Social Robotics, 15:1297-1323.
- Massi, E., Barthélemy, J., Mailly, J., Dromnelle, R., Canitrot, J., Poniatowski, E., Girard, B. and Khamassi, M. (2022). Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics. Frontiers in Neurorobotics, 2022, 16, 864380.
- Zaraki, A.*, Khamassi, M.*, Wood, L., Lakatos, G., Tzafestas, C., Amirabdollahian, F., Robins, B. and Dautenhahn, K. (2020). A Novel Reinforcement-Based Paradigm for Children to Teach the Humanoid Kaspar Robot. International Journal of Social Robotics, 12(3):709-720. (* equally contributing authors)
Philosophie de l’IA et Éthique de l’IA
- Freire, I.T.*, Nahon, G.*, van Lier, M., Evans, K., Bazin, H., Farisco, M., Evers, K., Chatila, R. and Khamassi, M. (2026). Anthropomorphism in the age of Large Language Models: An overview of potential risks and mitigations. arXiv, 2609.38486. (* equally contributing authors)
- Evers, K., Farisco, M., Chatila, R., Earp, B., Freire, I., Hamker, F., Németh, R., Verschure, P.F.M.J. and Khamassi, M. (2025). Preliminaries to artificial consciousness: A multidimensional heuristic approach Physics of Life Reviews, 52:180-193.
- Morlat, G., Nahon, M., Chartouny, A., Chatila, R., Freire, I.T.* and Khamassi, M.* (2025). Morality is Contextual: Learning Interpretable Moral Contexts from Human Data with Probabilistic Clustering and Large Language Models. arXiv, 2512.21439. (* equally contributing authors)
- Khamassi, M., Nahon, M. and Chatila, R. (2024). Strong and weak alignment of large language models with human values. Scientific Reports, 14, Article number: 19399.
- Khamassi, M. (2021). Quelques questions éthiques autour du développement de l’autonomie décisionnelle en intelligence artificielle et en robotique. Cahiers de TESaCo, n°2, pp.23-31.