ENS - Ecole Normale Supérieure
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Publications

International Journal article  

Križ, M. & Chemla, E. (). Two Methods to Find Truth-Value Gaps and Their Application to the Projection Problem of Homogeneity. Natural Language Semantics, 23(3), 205–248

Other  

Ngon, C. & Peperkamp, S. (2017). Corrigendum to "What infants know about the unsaid: Phonological categorization in the absence of auditory input" [Cognition 152 (2016) 53-60]. Cognition, 168, 385. doi:10.1016/j.cognition.2017.06.013

Other  

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222

Other  
Other  

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

Other  

Lazarevich, I. , Gutkin, B. & Prokin, I. (2018). Neural activity classification with machine learning models trained on interspike interval series data. arxiv , 1810.03855

Book chapter  

Peperkamp, S. & Dupoux, E. (2002). A typological study of stress "deafness" In Gussenhoven, C. and Warner, N. (Eds.), Laboratory Phonology VII (pp. 203-240). Berlin: Mouton de Gruyter

Book chapter  

Peperkamp, S. & Dupoux, E. (2002). Coping with phonological variation in early lexical acquisition. In I. Lasser (Eds.), The Process of Language Acquisition (pp. 359-385). Frankfurt: Peter Lang

Book chapter  

Pacherie, E. (2002). Intention .

Book chapter  

Pacherie, E. (2002). Reply to John Campbell on Joint attention and simulation.

Book chapter  

Pacherie, E. (2005). Perceiving Intentions. (pp. 401-414).

Book chapter  

Pacherie, E. (2006). Towards a Dynamic Theory of Intentions . (pp. 145-167).

Book chapter  

Dokic, J. & Pacherie, E. (2006). On the Very Idea of a Frame of Reference . (pp. 259-280).

Book chapter  

Peperkamp, S. & Dupoux, E. (2007 ). Learning the mapping from surface to underlying representations in an artificial language. In Cole, J. and Hualde, J. (Eds.), Laboratory Phonology 9 (pp. 315-338). Berlin: Mouton de Gruyter

Book chapter  

Pacherie, E. (2007). Is collective intentionality really primitive? (pp. 153-175).

Book chapter  

Darcy, I., Peperkamp, S. & Dupoux, E. (2007 ). Bilinguals play by the rules. Perceptual compensation for assimilation in late L2-learners. In Cole, J. and Hualde, J. (Eds.), Laboratory Phonology 9 (pp. 411-442). Berlin: Mouton de Gruyter

Book chapter  

Pacherie, E. (2008). Perception, Emotions and Delusions: Revisiting the Capgras Delusion . (pp. 07-126).

Book chapter  

Ramus, F., Peperkamp, S., Christophe, A., Jacquemot, C., Kouider, S. & Dupoux, E. (2010). A Psycholinguistic Perspective on the Acquisition of Phonology. In C. Fougeron (Eds.), Laboratory Phonology (Vol. 10 ).De Gruyter Mouton

Book chapter  

Pacherie, E. (2010). Self-Agency.

Book chapter  

Pacherie, E. & Haggard, P. (2010). What Are Intentions? . (pp. 70–84).

Book chapter  

Ramus, F. & Szenkovits, G. (2011). Understanding the nature of the phonological deficit. (pp. 153-169). doi:10.4324/9780203838006

Book chapter  

Martin, A. & Peperkamp, S. (2011). Speech perception and phonology. In M. van Oostendorp, C. Ewen, E. Hume & K. Rice (Eds.), Companion to Phonology. Volume IV. (pp. 2234-2256). Hoboken, N.J.: Wiley-Blackwell

Book chapter  

Pacherie, E. (2012). The Phenomenology of Joint Action: Self-Agency Vs. Joint-Agency . (pp. 343-389).

Book chapter  

Pacherie, E. (2012). Action. (pp. 92–111 ).

Book chapter  

Graupner, M. & Gutkin, B. (2012). Dynamical Approaches to understanding cholinergic control of nicotine action pathways in the dopaminergic reward circuits. Computational Neuroscience of Drug Addiction (Springer ed.).Ahmed and Gutkin (eds.)

Book chapter  

Ramus, F. (2013). A neurological model of dyslexia and other domain-specific developmental disorders with an associated sensorimotor syndrome. (pp. 75-102). doi:10.4324/9780203774915

Book chapter  

Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer