Proust, J. (2021). Penser vite ou penser bien ? Odile Jacob
Origgi, G. (2019). Reputation: What it is and why it Matters. Princeton University Press
Origgi, G. (2018). Reputation. What it is and Why it matters. Princeton University Press
Proust, J. & Fortier, M. (2018). Metacognitive Diversity - An Interdisciplinary approaches. Oxford: Oxford University Press
Kriegel, U. (2017). The Routledge Handbook of Franz Brentano and the Brentano School.
Proust, J. (2017). Non-human Metacognition.
Proust, J. (2013). The Philosophy of Metacognition: Mental Agency and Self-Awareness.
Beran, M., Brandl, J., Perner, J. & Proust, J. (2012). The Foundations of Metacognition.
Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.
Dokic, J. & Proust, J. (2002). Simulation and Knowledge of Action.
Le Coënt, A., Fribourg, L., Vacher, J. & Wisniewski, R. (2020). Probabilistic reachability and control synthesis for stochastic switched systems using the tamed Euler method. Nonlinear Analysis: Hybrid Systems, 36, 100860Elsevier. doi:10.1016/j.nahs.2020.100860
Vacher, J. , Davila, A., Kohn, A. & Coen-Cagli, R. (2020). Texture Interpolation for Probing Visual Perception. Advances in Neural Information Processing Systems (Spotlight – top 5%)
Ting, C. , Palminteri, S., Engelmann, J. & Lebreton, M. (2019). Decreased confidence in loss-avoidance contexts is a primary meta-cognitive bias of human reinforcement learning. bioRxiv. doi:10.1101/593368
Mamassian, P. & Coen-Cagli, R. (2018). An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. arXiv
Deperrois, N. & Gutkin, B. (2018). Nicotinic and Cholinergic Modulation of Reward Prediction Error Computations in the Ventral Tegmental Area: a Minimal Circuit Model. bioRxiv, 423806. doi:10.1101/423806
Dumont, G. & Gutkin, B. (2018). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. arXiv , 1812.03455
Lazarevich, I. , Gutkin, B. & Prokin, I. (2018). Neural activity classification with machine learning models trained on interspike interval series data. arxiv , 1810.03855
Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925
Neri, P. (2018). Classification images as descriptive statistics. "Journal of Mathematical Psychology", "82"("1), "26–37"
Novikov, N. & Gutkin, B. (2018). Role of NMDA conductance in average firing rate shifts caused by external periodic forcing. arXiv , 1812.03609
Origgi, G. (2018). South, Status and Knowledge: Epistemic Dominance and Forms of Epistemic Injustice.
Origgi, G. (2018). https://www.openaire.eu.
Origgi, G. (2018). Rapport éthique du projet Openair.
Origgi, G. (2018). Rapports du working group ALLEA Trust, Truth and Expertise.
Rooy, M., Koukouli, F., Maskos, U. & Gutkin, B. (2018). Nicotinic modulation of hierarchal inhibitory control over prefrontal cortex resting state dynamics: modeling of genetic modification and schizophreniarelated pathology. bioRxiv, 301051. doi:10.1101/301051
Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222
Lebreton, M. & Palminteri, S. (2016). When are inter-individual brain-behavior correlations informative? bioRxiv. doi:10.1101/036772
Bouvier, A. (2009). Joint Commitment, Coercion and Freedom in Science : Conceptual Analysis and Case Studies. , 143–61