Publications

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Kim, S., Le Guen, O. , Sodian, B. & Proust, J. (2021). Are Children Sensitive to What They Know?: An Insight from Yucatec Mayan Children. Journal of Cognition and Culture, 21(3-4), 226-242. doi:10.1163/15685373-12340106

Kim, S., Sodian, B., Senju, A., Okuno , A., Ueno, M., Itakura, S. & Proust, J. (2020). Metacognition and mindreading in young children: a cross-cultural study. Consciousness and Cognition , 85, 103017. doi:10.1016/j.concog.2020.103017

Kim, S., Paulus, M., Sodian, B. & Proust, J. (2020). Children’s Prior Experiences of their Successes and Failures Modulate Belief Alignment. European Journal of Developmental Psychology, 17(5). doi:10.1080/17405629.2020.1722634

Kim, S., Sodian, B. & Proust, J. (2020). 12- and 24-Month-Old Infants’ Search Behavior Under Informational Uncertainty . Frontiers in Psychology, 11. doi:10.3389/fpsyg.2020.00566

Kim, S., Paulus, M., Sodian, B., Itakura, S., Ueno, M., Senju, A. & Proust, J. (2018). Selective learning and teaching among Japanese and German children. Developmental psychology, 54(3), 536-542. doi:10.1037/dev0000441

Kim, S., Paulus, M., Sodian, B. & Proust, J. (2016). Young Children's Sensitivity to Their Own Ignorance in Informing Others. PloS one, 11(3), e0152595. doi:10.1371/journal.pone.0152595

Kim, S., Shahaeian, A. & Proust, J. (2018). Developmental diversity in mindreading and metacognition. In Proust, J. & Fortier, M (Eds.), Metacognitive Diversity (pp. 97-133).OUP

Krupa, M., Gielen, S. & Gutkin, B. (2014). Intrinsic and synaptic mechanisms for clustered cortical gamma. J Comput. Neurosci , 37(2), 357-76

Lebreton, M., Bacily , K., Palminteri, S. & Engelmann, J. (2019). Contextual influence on confidence judgments in human reinforcement learning. PLoS Comput Biol, 15(4), e1006973. doi:10.1371/journal.pcbi.1006973

Lebreton, M., Bavard, S., Daunizeau, J. & Palminteri, S. (2019). Assessing inter-individual differences with task-related functional neuroimaging. Nature Human Behaviour. doi:10.1038/s41562-019-0681-8

Lebreton, M. & Palminteri, S. (2016). When are inter-individual brain-behavior correlations informative? bioRxiv. doi:10.1101/036772

Lefebvre, G., Nioche, A., Bourgeois-Gironde, S. & Palminteri, S. (2018). Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm. PNAS, 115(49), E11446-E11454. doi:10.1073/pnas.1813197115

Lefebvre, G., Lebreton, M., Meyniel, F., Bourgeois-Gironde, S. & Palminteri, S. (2017). Behavioural and neural characterization of optimistic reinforcement learning. Nature Human Behaviour , 1(4), 0067

Loussouarn, A., Gabriel, D. & Proust, J. (2011). Exploring the informational sources of metaperception: the case of Change Blindness Blindness. Consciousness and cognition, 20(4), 1489-1501. doi:10.1016/j.concog.2011.07.001

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

Maex, R., Budygin, E., Grinevich, V., Bencherif, M. & Gutkin, B. (2014). Receptor activation and desensitization as mechanisms for a7 regulation of dopamine response to nicotine. Chemical Neuroscience , 15(10), 1032-40. doi:10.1021/cn500126t

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Morisseau, T. , Branch-Smith, T. & Origgi, G. (2021). Stakes of Knowing the Truth: A Motivational Perspective on the Popularity of a Controversial Scientific Theory. Front. Psychol., 12, 3800. doi:10.3389/fpsyg.2021.708751

Muller, L., Brette, R. & Gutkin, B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in Computational Neuroscience, 15(5), 45. doi:10.3389/fncom.2011.00045

Müller, B., Tsalas, N., Van Schie, H., Meinhardt, J., Proust, J., Sodian, B. & Paulus, M. (2016). Neural correlates of judgments of learning - An ERP study on metacognition. Brain research, 1652, 170-177. doi:10.1016/j.brainres.2016.10.005

Nair, A. , B. Johnson, E. , Gregory, S. , Osborne-Crowley, K. , Zeun, P. , Scahill, R. , Lowe, J. , Papoutsi, M., Palminteri, S., Rutledge, R. , Rees, G. & Tabrizi, S. (2021). Aberrant Striatal Value Representation in Huntington's Disease Gene Carriers 25 Years Before Onset. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(9), 910-918. doi:10.1016/j.bpsc.2020.12.015

Najar, A., Bonnet, E., Bahador, B. & Palminteri, S. (2020). The actions of others act as a pseudo-reward to drive imitation in the context of social reinforcement learning. PLoS Biology, 18 (12), e3001028. doi:10.1371/journal.pbio.3001028

Najar, A., Sigaud, O. & Chetouani , M. (2020). Interactively shaping robot behaviour with unlabeled human instructions. Auton Agent Multi-Agent Syst, 34(35). doi:10.1007/s10458-020-09459-6

Origgi, G. (2019). Reputation: What it is and why it Matters. Princeton University Press

Origgi, G. (2019). Reputation in Moral Philosophy and Epistemology. In F. Giardini, R. Wittek (Eds.), he Oxford Handbook of Gossip and Reputation (pp. 69-81).Oxford University Press

Origgi, G. (2020). Trust and Reputation. In Judith Simon (Eds.), The Routledge Handbook of Trust and PhilosophyRoutledge

Origgi, G. (2019). Trust and Reputation as Filtering Mechanisms of Knowledge. In P. Graham (Eds.), Routledge Handbook of Social Epistemology London: Routledge

Origgi, G. (2019). Passions Sociales. Paris: PUF

Origgi, G. (2018). South, Status and Knowledge: Epistemic Dominance and Forms of Epistemic Injustice.