Publications

Ramus, F. & Mehler, J. (1999). Language identification with suprasegmental cues: A study based on speech resynthesis. Journal of the Acoustical Society of America, 105(1), 512-521. doi:10.1121/1.424522

Ramus, F., Nespor, M. & Mehler, J. (1999). Correlates of linguistic rhythm in the speech signal. Cognition, 73(3), 265-292. doi:10.1016/S0010-0277(99)00058-X

Ramus, F., Di Folco , C. , Guez, A. & Peyre, H. (2021). Epidémiologie des troubles de la lecture en France : une comparaison du DSM-5 et de la CIM-11. Approche neuropsychologique des apprentissages chez l'enfant, 175, 639-649

Ramus, F. (2018). Do gifted people have a qualitatively different brain?,Les surdoués ont-ils un cerveau qualitativement différent ? ANAE - Approche Neuropsychologique des Apprentissages chez l'Enfant, 30(154), 281-287

Ramus, F. (2012). Les troubles spécifiques de la lecture. Information Grammaticale, 133, 34-40

Ramus, F. (2011). Quel pouvoir prédictif de la génétique et des neurosciences, et quels problmes? Medecine et Droit, 2011(106), 51-58. doi:10.1016/j.meddro.2010.10.010

Ramus, F. (2008). Génétique de la dyslexie développementale. ANAE - Approche Neuropsychologique des Apprentissages chez l'Enfant, 20, 9-14

Ramus, F. (2005). Aux origines cognitives, neurobiologiques et génétiques de la dyslexie. ANAE - Approche Neuropsychologique des Apprentissages chez l'Enfant, 17, 247-253

Nicolas, D. (2004). Is there anything characteristic about the meaning of a count noun? Revue de la Lexicologie, 18-19, 125-138

Nicolas, D. (2002). Do mass nouns constitute a semantically uniform class? Kansas Working Papers in Linguistics, 26, 113-121. doi:10.17161/KWPL.1808.591

M Siriwardena, Y., Marion, G. & Shamma, S. (2022). The Mirrornet: Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 946-950. doi:10.1109/ICASSP43922.2022.9747358

Parikh, R. , Kavalerov, I. , Espy-Wilson, C. & Shamma, S. (2022). Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems. In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 536-540. doi:10.1109/ICASSP43922.2022.9747314

Graves, J., Egré, P., Pressnitzer, D. & de Gardelle, V. (2021). An implicit representation of stimulus ambiguity in pupil size. , Vol. 18: In Proceedings of the National Academy of Sciences, e2107997118. doi:10.1073/pnas.2107997118

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

Varnet, L., Meunier, F. & Hoen, M. (2016). Speech reductions cause a de-weighting of secondary acoustic cues. In Interspeech. doi:10.21437/Interspeech.2016-343

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

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.

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

Osses , A. & Varnet, L. (2023). Using auditory models to mimic human listeners in reverse correlation experiments from the fastACI toolbox. In , Turin, Italy.

Caucheteux, C. , Gramfort, A. & King, J. (2021). Disentangling syntax and semantics in the brain with deep networks. , Vol. 139: In International Conference on Machine Learning, PMLR, 1336-1348.

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2020). Sleep deprivation impacts speech spectro-temporal modulations. In e-FA2020 (e- Forum Acusticum 2020 ), Lyon, France.

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Nicolas, D. (2002). La distinction entre noms massifs et noms comptables. Leuven: Editions Peeters

Berthommier, F. & Lorenzi, C. (2021). Implications of Physiological Mechanisms of Amplitude Modulation Processing for Modeling Complex Sounds Analysis and Separation. (pp. 12). doi:10.1201/9781003064183

Pressnitzer, D., Agus, T., Kang, H. , Graves, J. & Andrillon, T. (2021). Apprentissage de motifs sonores. In S. Samson, B. Tillmann, C. Jourdan, V. Brun (Eds.), Audition et Cognition Montpellier: Sauramps Medical

Shamma, S. (2020). Temporal Coherence Principle in Scene Analysis. The Senses: A Comprehensive Reference (Second Edition) (Vol. 2, pp. 777-790).Elsevier. doi:10.1016/B978-0-12-809324-5.24252-1

Mari, A. (2018). The French Future : evidentiality and information increase. Evidence for Evidentiality (pp. 199-226). Dordrecht: Benjamins

Mari, A. (2018). The French Future : evidentiality and information increase. Evidence for Evidentiality (pp. 199-226). Dordrecht: Benjamins

Nicolas, D. (2018). The logic of mass expressions. In E. N. Zalta (Eds.), Stanford Encyclopedia of Philosophy Stanford: The Metaphysics Research Lab Center for the Study of Language and Information Stanford University