Publications

Cepollaro, B., Domaneschi, F. & Stojanovic, I. (2020). When is it ok to call someone a jerk? An experimental investigation of expressives. Synthese, . doi:10.1007/s11229-020-02633-z

Chambon, V., Thero, H., Vidal, M., Vandendriessche, C., Haggard, P. & Palminteri, S. (2020). Choosing and learning: outcome valence differentially affects learning from free versus forced choices. Nature Human Behaviour, .

Chambon, V., Thero, H., Vidal, M., Vandendriessche, H., Haggard, P. & Palminteri, S. (2020). Information about action outcomes differentially affects learning from self-determined versus imposed choices. Nature Human Behaviour , 4, 1067-1079. doi:10.1038/s41562-020-0919-5

Denic, M. & Chemla, E. (2020). Quantifier Spreading in Child Language as Distributive Inferences. Linguistic Inquiry, 51(1), 1-21. doi:10.1162/ling_a_00340

Falck, A., Labouret, G., Izard, V., Wertz, A., Keil Frank, C. & Strickland, B. (2020). Core cognition in adult vision: A surprising discrepancy between the principles of object continuity and solidity. Journal of Experimental Psychology: General, 149(12), 2250–2263. doi:10.1037/xge0000785

Kuhn, J. (2020). Gather/numerous as a mass/count opposition. Natural Language Semantics, 28, 225–253. doi:10.1007/s11050-020-09163-x

Kuhn, J. (2020). Logical meaning in space: Iconic biases on quantification in sign languages. Language, 96(4), e320-e343. doi:10.1353/lan.2020.0082

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

Marie, A. , Yesilaltay , S. & Strickland, B. (2020). The cognitive foundations of misinformation on science - What we know and what scientists can do about it. EMBO Rep , 21(4), e50205. doi:10.15252/embr.202050205

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

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The effect of counterfactual information on outcome value coding in medial prefrontal and cingulate cortex: from an absolute to a relative neural code. Journal of Neuroscience, 40(16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Pischedda, D. , Palminteri, S. & Giorgio, C. (2020). The role of counterfactual information on outcome value coding in mPFC and cingulate cortex: from an absolute to an adaptive neural code. . The Journal of Neuroscience, 40 (16), 3268-3277. doi:10.1523/JNEUROSCI.1712-19.2020

Rahnev, D., Desender, K., Lee, A., Adler, W., Aguilar-Lleyda, D., Akdoğan, B., Arbuzova, P., Atlas, L., Balcı, F., Bang, J., Bègue, I., Birney, D., Brady, T., Calder-Travis, J., Chetverikov, A., Clark, T., Davranche, K., Denison, R., Dildine, T., Double, K., Duyan, Y., Faivre, N., Fallow, K., Filevich, E., Gajdos, T., Gallagher, R., de Gardelle, V., Gherman, S., Haddara, N., Hainguerlot, M., Hsu, T., Hu, X., Iturrate, I., Jaquiery, M., Kantner, J., Koculak, M., Konishi, M., Koß, C., Kvam, P., Kwok, S., Lebreton, M., Lempert, K., Ming Lo, C., Luo, L., Maniscalco, B., Martin, A., Massoni, S., Matthews, J., Mazancieux, A., Merfeld, D., O'Hora, D., Palser, E., Paulewicz, B., Pereira, M., Peters, C., Philiastides, M., Pfuhl, G., Prieto, F., Rausch, M., Recht, S. , Reyes, G., Rouault, M., Sackur, J., Sadeghi, S., Samaha, J., Seow, T., Shekhar, M., Sherman, M., Siedlecka, M., Skóra, Z., Song, C., Soto, D., Sun, S., Van Boxtel, J., Wang, S., Weidemann, C., Weindel, G., Wierzchoń, M., Xu, X., Ye, Q., Yeon, J., Zou, F. & Zylberberg, A. (2020). The Confidence Database. Nature Human Behaviour, 4, 317–325. doi:10.1038/s41562-019-0813-1

Recanati, F. (2020). Jules Vuillemin Et la Philosophie Analytique. Revue de Synthèse, 141(1-2), 11–33. doi:10.1163/19552343-14000025

Schlenker, P. (2020). Gestural grammar. Natural Language & Linguistic Theory , 38(11). doi:10.1007/s11049-019-09460-z

Skvortsova , V., Palminteri, S., Buot, A., Karachi, C., Welter, M., Grabli, D. & Pessiglione, M. (2020). A Causal Role for the Pedunculopontine Nucleus in Human Instrumental Learning. Current Biology, 31(5). doi:10.1016/j.cub.2020.11.042

Spector, B. (2020). Modified Numerals. The Wiley Blackwell Companion to Semantics, 1-28. doi:10.1002/9781118788516.sem120

Stojanovic, I. (2020). Indexicality: I, Here, Now. The Wiley Blackwell Companion to Semantics, 1-33. doi:10.1002/9781118788516.sem123

Ting, C. , Palminteri, S., Engelmann, J. & Lebreton, M. (2020). Robust valence-induced biases on motor response and confidence in human reinforcement learning. Cognitive, Affective, & Behavioral Neuroscience, . doi:10.3758/s13415-020-00826-0

Verheyen, S. , White, A. & Egré, P. (2020). Revealing Criterial Vagueness in Inconsistencies. Open Mind: Discoveries in Cognitive Science, 41-51. doi:10.1162/opmi_a_00025

Balsdon, T., Wyart, V. & Mamassian, P. (2019). Graded, multidimensional representations of sensory evidence allow for dissociable performance in second-choice and confidence judgments. Journal of Vision, 19(10), 289a-289a. doi:10.1167/19.10.289a

Berthet, M., Mesbahi, G. , Pajot, A. , Cäsar, C., Neumann, C. & Zuberbühler, K. (2019). Titi monkeys combine alarm calls to create probabilistic meaning. Science Advances, 5(5), eaav3991. doi:10.1126/sciadv.aav3991

Chemla, E. & Egré, P. (2019). Suszko's problem: mixed consequence and compositionality. Review of Symbolic Logic, 12(4), 736-767. doi:10.1017/S1755020318000503

Commier, S. & Berthet, M. (2019). Commentary: Titi Semantics: Context and Meaning in Titi Monkey Call Sequences . Frontiers in Psychology, 10, 512. doi:10.3389/fpsyg.2019.00512

Dezecache, G., Bourgeois-Gironde, S., Schlenker, P., Chemla, E., Bazin, C. & Maille, A. (2019). Orangutans’ Comprehension of Zoo Keepers’ Communicative Signals. Animals , 9(6), 300. doi:10.3390/ani9060300

Dieuleveut, A., Chemla, E. & Spector, B. (2019 ). Distinctions between primary and secondary scalar implicatures. Journal of Memory and Language, 106, 150-171. doi:10.1016/j.jml.2019.02.008

Egré, P. & O’{}madagain, C. (2019). Concept Utility. Journal of Philosophy, 116(10), 525–554. doi:10.5840/jphil20191161034

Findling, C., Skvortsova , V., Dromnelle, R. , Palminteri, S. & Wyart, V. (2019). Computational noise in reward-guided learning drives behavioral variability in volatile environments. Nature Neuroscience , 22, 2066–2077. doi:10.1101/439885

Fontanesi , L., Palminteri, S. & Lebreton, M. (2019). Decomposing the effects of context valence and feedback information on speed and accuracy during reinforcement learning: A meta-analytical approach using diffusion decision modeling. Cognitive Affective Behavioral Neuroscience, 1-13. doi:10.3758/s13415-019-00723-1