Publications

Mercier, H. (2020 ). Not Born Yesterday. Princeton University Press

Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.

Ecoffet, P., Fontbonne, N., Andre, J. & Bredeche, N. (2021). Reinforcement Learning with Rare Significant Events: Direct Policy Search vs. Gradient Policy Search. In GECCO '21: Genetic and Evolutionary Computation Conference, New YorkNYUnited States: Association for Computing Machinery. doi:10.1145/3449726

Caze, R., Humphries, M. & Gutkin, B. (2012). Spiking and saturating dendrites differentially expand single neuron computation capacity. , Vol. 13: In Twenty First Annual Computational Neuroscience Meeting: CNS*2012, Decatur, GA, USA.

Alemi, A., Machens, C., Denève, S. & Slotine, J. (2018). Learning nonlinear dynamics in efficient, balanced spiking networks using local plasticity rules. In Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, AAAI Press.

Mercier, H. & Sperber, D. (2021). L'Énigme de la raison.