Books
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. Released on 17 April 2024.
Mehdi Khamassi (Dir.). Neurosciences cognitives. Éditions de Boeck Supérieur. ISBN : 978-2-8073-2921-8. Released on 12 October 2021.
All my publications can be accessed by clicking on this link to access HAL.
Selected recent publications
Neuroscience
- 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.
- Panayi, M.C.*, Khamassi, M.*, and Killcross, S. (2021). The rodent lateral orbitofrontal cortex as an arbitrator selecting between model-based and model-free learning systems. Behavioral Neuroscience, 135(2):226-244. (* equally contributing authors)
- 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)
Robotics
- 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)
- Chatila, R., Renaudo, E., Andries, M., Chavez Garcia, R.O., Luce-Vayrac, P., Gottstein, R., Alami, R., Clodic, A., Devin, S., Girard, B. and Khamassi, M. (2018). Towards Self-Aware Robots. Frontiers in Robotics and AI, 5:88.
- Khamassi, M., Velentzas, G., Tsitsimis, T. and Tzafestas, C. (2018). Robot fast adaptation to changes in human engagement during simulated dynamic social interaction with active exploration in parameterized reinforcement learning. IEEE Transactions on Cognitive and Developmental Systems, 10(4):881-893.
Philosophy of AI and Ethics of AI
- 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.
- 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.
- Baldassarre, G., Duro, R., Cartoni, E., Khamassi, M., Romero, A. and Santucci, V.G. (2024). Purpose for Open-Ended Learning Robots: A Computational Taxonomy, Definition, and Operationalisation. arXiv, arXiv:2403.02514.
- Khamassi, M. and Ganascia, J.-G. (2022). L’IA hier et demain. Audition de Jean-Gabriel Ganascia. Cahiers de TESaCo, n°3, pp.47-72.
- 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.
