Publications

Caraco, B. (2014). Roberto CASATI, Contre le colonialisme numérique. Manifeste pour continuer à lire.

Pacherie, E. & Castro, V. (2022). Robots and Resentment: Commitments, recognition and social motivation in HRI. Emotional Machines. Perspectives from Affective Computing and Emotional Human-Machine InteractionSpringer Fachmedien Wiesbaden

Balsdon, T., Wyart, V. & Mamassian, P. (2022). Robust changes in confidence efficiency during post-decision time windows. Journal of Vision, 22(14), 3251. doi:10.1167/jov.22.14.3251

Akram, S., Presacco, A., Simon, J., Shamma, S. & Babadi, B. (2016 Jan 1). Robust decoding of selective auditory attention from MEG in a competing-speaker environment via state-space modeling. NeuroImage, 124(Pt A), 906-917. doi:10.1016/j.neuroimage.2015.09.048

de Cheveigné, A. & Arzounian, D. (2018). Robust detrending, rereferencing, outlier detection, and inpainting for multichannel data. NeuroImage, In press. doi:10.1016/j.neuroimage.2018.01.035

Aushana, Y., Souffi , S., Edeline, J., Lorenzi, C. & Huetz , C. (2018). Robust neuronal discrimination in primary auditory cortex despite degradations of spectro-temporal acoustic details: comparison between guinea pigs with normal hearing and mild age-related hearing loss. Journal of the Association for Research in Otolaryngology,, 19, 163-180. doi:10.1007/s10162-017-0649-1

Dogonasheva, O., Kasatkin, D., Gutkin, B. & Zakharov, D. (2021). Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks. Chaos, Solitons & Fractals, 153(1), 111541. doi:10.1016/j.chaos.2021.111541

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

Novikov, N. & Gutkin, B. (2016). Robustness of persistent spiking to partial synchronization in a minimal model of synaptically driven self-sustained activity. Physical review. E, 94(5-1), 052313. doi:10.1103/PhysRevE.94.052313

Lorenzi, C. (2021). Robustness to Noise in the Auditory System: A Distributed and Predictable Property. eNeuro, 8, 2. doi:10.1523/ENEURO.0043-21.2021

Novikov, N. & Gutkin, B. (2018). Role of NMDA conductance in average firing rate shifts caused by external periodic forcing. arXiv , 1812.03609

Zakharov, D., Dogonasheva, O. & Gutkin, B. (2020). Role of Pyramidal Cell M-current in Weak Pyramidal/Interneuronal Gamma Cluster Formation. In 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR), Innopolis, Russia, IEEE. doi:10.1109/DCNAIR50402.2020.9216942

Gnansia, D., Lazard, D., Léger, A., Fugain, C., Lancelin, D., Meyer, B. & Lorenzi, C. (2014). Role of slow temporal modulations in speech identification for cochlear implant users. International journal of audiology, 53(1), 48-54. doi:10.3109/14992027.2013.844367

Gilbert, G. & Lorenzi, C. (2010). Role of spectral and temporal cues in restoring missing speech information. The Journal of the Acoustical Society of America, 128(5), EL294-9. doi:10.1121/1.3501962

Novikov, N. & Gutkin, B. (2020). Role of synaptic nonlinearity in persistent firing rate shifts caused by external periodic forcing. PHYSICAL REVIEW E, 101(5), 052408. doi:10.1103/PhysRevE.101.052408

Zalla, T., Seassau, M., Cazalis, F., Gras, D. & Leboyer, M. (2016). Saccadic eye movements in adults with high functioning autism spectrum disorder. Autism. doi:10.1177/1362361316667057

Reilmann, R., McGarry, A. , Grachev, I. , Savola, J. , Borowsky, B., Eyal, E. , Gross, N. , Langbehn, D., Schubert, R. , Wickenberg, A. , Papapetropoulos, S. , Hayden, M. , Squitieri, F., Kieburtz, K. , Landwehrmeyer, G., European Huntington'S Disease, N. & Bachoud-Levi, A. (2019). Safety and efficacy of pridopidine in patients with Huntington's disease (PRIDE-HD): a phase 2, randomised, placebo-controlled, multicentre, dose-ranging study. The Lancet, Neurology, 18(2), 165-176 . doi:10.1016/S1474-4422(18)30391-0

Bachoud-Levi, A., Bourdet, C., Brugières, P., Nguyen, J., Grandmougin , T., Haddad , B., Jény , R., Bartolomeo, P., Boissé, M., Barba, G., Degos, J., Ergis, A., Lefaucheur, J., Lisovoski , F., Pailhous , E., Remy, P., Palfi, S., Defer, G., Cesaro, P., Hantraye, P. & Peschanski, M. (2000). Safety and tolerability assessment of intrastriatal neural allografts in five patients with Huntington's disease. Experimental Neurology, 161(1), 194-202. doi:10.1006/exnr.1999.7239

Michon, E., Dupoux, E. & Cristia, A. (2015). Salient dimensions in implicit phonotactic learning. In INTERSPEECH-2015, 2665-2669.

Chevallier, C., Huguet, P., Happé, F., George, N. & Conty, L. (2013). Salient social cues are prioritized in autism spectrum disorders despite overall decrease in social attention. Journal of autism and developmental disorders, 43(7), 1642-51. doi:10.1007/s10803-012-1710-x

Riad, R., Dancette, C., Karadayi, J., Zeghidour, N., Schatz, T. & Dupoux, E. (2018). Sampling strategies in Siamese Networks for unsupervised speech representation learning. In Interspeech 2018.

Tsuji, S., Cristia, A. & Dupoux, E. (2021). SCALa: A blueprint for computational models of language acquisition in social context. Cognition, 104779. doi:10.1016/j.cognition.2021.104779

Chierchia, G., Fox , F. & Spector, B. (2012). Scalar implicature as a grammatical phenomenon. In Maienborn, Claudia and Klaus von Heusinger and Paul Portner (Eds.), Semantics: An International Handbook of Natural Language Meaning (Vol. 3).Walter de Gruyter . doi:10.1515/9783110253382.2297

Spector, B. (2014). Scalar Implicatures, Blindness and Common Knowledge: Comments on Magri (2011) In Pistoia Reda, Salvatore (Eds.), Pragmatics, Semantics and the Case of Scalar Implicatures (pp. 146–169).Palgrave Macmillan {UK. doi:10.1057/9781137333285_6

Spector, B. (2007). Scalar implicatures: Exhaustivity and Gricean reasoning. In Maria Aloni, Alastair Butler and Paul Dekker (Eds.), Questions in Dynamic Semantics (pp. 225-251).Elsevier. doi:10.1163/9780080470993_011

de Carvalho, A., Reboul, A., Van Der Henst, J., Cheylus, A. & Nazir, T. (2016). Scalar Implicatures: The Psychological Reality of Scales. Frontiers in psychology, 7, 1500. doi:10.3389/fpsyg.2016.01500

Marty, P. & Chemla, E. (2013). Scalar implicatures: working memory and a comparison with only. Frontiers in psychology, 4, 403. doi:10.3389/fpsyg.2013.00403

Chevallier, C., Wilson, D., Happé, F. & Noveck, I. (2010). Scalar inferences in Autism Spectrum Disorders. Journal of autism and developmental disorders, 40(9), 1104-17. doi:10.1007/s10803-010-0960-8

Ostojic, S., Somfai, E. & Nienhuis, B. (2006). Scale invariance and universality of force networks in static granular matter. Nature, 439(7078), 828-30. doi:10.1038/nature04549

Cavanagh, P., Casati, R. & Elder , J. (2022). Scaling depth from shadow offset. Journal of Vision, 21(12), 15. doi:10.1167/jov.21.12.15