ENS - Ecole Normale Supérieure
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Publications

Reviewed conference proceeding  

Stojanovic, I., De Brabanter, P., Nicolas, D. & Villanueva, N. (2005). Deferential Utterances. In Casati, R. and Origgi, G. (Eds.), In Referring to Objects, Interdisciplines.org., 4-19.

Reviewed conference proceeding  

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.

Other  

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

Reviewed conference proceeding  

Mari, A. (2016). Actuality entailments: when the modality is in the presupposition. In Amblard M., de Groote P., Pogodalla S., Retoré C. (Eds.), Vol. 10054: In Logical Aspects of Computational Linguistics. Celebrating 20 Years of LACL (1996–2016), Dordrecht: Springer Verlag, 191-210. doi:10.1007/978-3-662-53826-5_12

Book review  

Nicolas, D. (2014). Review of Oliver, Alex and Smiley, Timothy (2013) Plural Logic. Notre Dame Philosophical Reviews.

Book review  

Nicolas, D. (2011). Review of Pelletier, Jeff (ed.) (2010) Kinds, Things, and Stuff. Language, 87, 3, 650-652. doi:10.1353/lan.2011.0051

Reviewed conference proceeding  

Nicolas, D. (2007). Mass nouns and plural logic (extended abstract) In Proceedings of the 16th Amsterdam Colloquium, 163-168.

Reviewed conference proceeding  

Nicolas, D. (2004). The semantics of nouns derived from gradable adjectives. In Proceedings of Sinn und Bedeutung 8, 197-207.

Other  

Recanatesi, S., Farrell, M., Lajoie, G., Denève, S., Rigotti, M. & Shea-Brown, E. (2018). Signatures and mechanisms of low-dimensional neural predictive manifolds. bioRxiv. doi:10.1101/471987

Other  

Sperber, D. & Mercier, H. (2017). The Enigma of Reason .

Other  

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