Publications

Vacher, J. , Mamassian, P. & Coen-Cagli, R. (2020). Measuring and Modeling Human Probabilistic Segmentation Maps. Journal of Vision, 20(11), 260. doi:10.1167/jov.20.11.260

Kinzler, K., Dupoux, E. & Spelke, E. (2012). "Native" objects and collaborators: Infants' object choices and acts of giving reflect favor for native over foreign speakers. Journal of Cognition and Development, 13(1), 1-15

Ngon, C., Martin, A., Dupoux, E., Cabrol, D., Dutat, M. & Peperkamp, S. (2013). (Non)words, (non)words, (non)words: evidence for a protolexicon during the first year of life. Developmental science, 16(1), 24-34. doi:10.1111/j.1467-7687.2012.01189.x

Balsdon, T. & Clifford, C. (2017). A bias-minimising measure of the influence of head orientation on perceived gaze direction. Scientific reports, 7, 41685. doi:10.1038/srep41685

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

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Riad, R., Titeux, H., Lemoine, L., Montillot, J., Sliwinski, A., Hamet Bagnou, J., Cao, X., Bachoud-Levi, A. & Dupoux, E. (2022). A comparison study on patient-psychologist voice diarization. In Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), Dublin, Ireland: Association for Computational Linguistics, 30-36. doi:10.18653/v1/2022.slpat-1.4

Scheer, V. , Blanco, C. , Olfson, M. , Lemogne, C. , Airagnes, G. , Peyre, H., Limosin, F. & Nicolas, H. (2020). A comprehensive model of predictors of suicide attempt in individuals with panic disorder: Results from a national 3-year prospective study. General Hospital Psychiatry, 67, 127-135. doi:10.1016/j.genhosppsych.2020.09.006

Fourtassi, A. & Dupoux, E. (2013). A corpus-based evaluation method for Distributional Semantic Models. In Proceedings of {ACL-SRW 2013, 165-171.

Zeghidour, N., Synnaeve, G., Versteegh, M. & Dupoux, E. (2016 ). A Deep Scattering Spectrum - Deep Siamese Network Pipeline For Unsupervised Acoustic Modeling. In ICASSP-2016, 4965-4969.

Lelièvre, P. & Neri, P. (2021). A deep-learning framework for human perception of abstract art composition. Journal of vision, 21(5), 9. doi:10.1167/jov.21.5.9

Dupoux, E., Pallier, C., Sebastian, N. & Mehler, J. (1997). A destressing "deafness" in French? Journal of Memory and Language, 36(3), 406-421

Caze, R., Humphries, M., Gutkin, B. & Schultz, S. (2013). A difficult classification for neurons without dendrites. In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, San Diego, CA, USA, IEEE, 215-218. doi:10.1109/NER.2013.6695910

White, S., Frith, U., Milne, E., Rosen, S., Swettenham, J. & Ramus, F. (2006). A double dissociation between sensorimotor impairments and reading disability: A comparison of autistic and dyslexic children. Cognitive neuropsychology, 23(5), 748-61. doi:10.1080/02643290500438607

Dumont, G., Pérez-Cervera, A. & Gutkin, B. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. Plos Computational Biology. doi:10.1371/journal.pcbi.1010363

Kouider, S. & Dupoux, E. (2001). A functional disconnection between spoken and visual word recognition: evidence from unconscious priming. Cognition, 82(1), B35-B49

Altarelli, I., Monzalvo, K., Iannuzzi, S., Fluss, J., Billard, C., Ramus, F. & Dehaene-Lambertz, G. (2013). A functionally guided approach to the morphometry of occipitotemporal regions in developmental dyslexia: evidence for differential effects in boys and girls. The Journal of neuroscience : the official journal of the Society for Neuroscience, 33(27), 11296-301. doi:10.1523/JNEUROSCI.5854-12.2013

Williams, C., Labouret, G., Wolfram, T., Peyre, H. & Ramus, F. (2023). A General Cognitive Ability Factor for the UK Biobank. Behavior genetics, 53(2), 85-100. doi:10.1007/s10519-022-10127-6

Hansmann-Roth, S. & Mamassian, P. (2017). A Glossy Simultaneous Contrast: Conjoint Measurements of Gloss and Lightness. i-Perception, 8(1), 2041669516687770. doi:10.1177/2041669516687770

Thiollière, R., Dunbar, E., Synnaeve, G., Versteegh, M. & Dupoux, E. (2015 ). A Hybrid Dynamic Time Warping-Deep Neural Network Architecture for Unsupervised Acoustic Modeling. In INTERSPEECH-2015, 3179-3183.

Thual, A., Dancette, C., Karadayi, J., Benjumea, J. & Dupoux, E. (2018). A K-nearest neighbours approach to unsupervised spoken term discovery. In EEE Spoken Language Technology SLT-2018.

Latimier, A., Peyre, H. & Ramus, F. (2020). A Meta-Analytic Review of the Benefit of Spacing out Retrieval Practice Episodes on Retention. Educational Psychology Review, 33(3), 959-987. doi:10.1007/s10648-020-09572-8

Loza, E. , Amsellem, F., Zalla, T., Cartigny, A. , Leboyer, M., Delorme, R., Ramus, F. & Forgeot D'Arc, B. (2023). A mind-reading puzzle: Autistic people are more efficient at a theory-of-mind task. Research in Autism Spectrum Disorders, 101, 102105. doi:10.1016/j.rasd.2023.102105

Ludusan, B. & Dupoux, E. (2015). A multilingual study on intensity as a cue for marking prosodic boundaries. In ICPhS, e982.

Gutkin, B., Dehaene, S. & Changeux, J. (2006). A neurocomputational hypothesis for nicotine addiction. Proceedings of the National Academy of Sciences of the United States of America, 103(4), 1106-1111. doi:10.1073/pnas.0510220103

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

Lunghi, C., Sframeli, A. , Lepri, A., Lepri, M., Lisi, D., Sale, A. & Morrone, M. (2018 ). A new counterintuitive training for adult amblyopia. Annals of Clinical and Translational Neurology. doi:10.1002/acn3.698

Ogawa, T., Mallidi, S. , Dupoux, E., Cohen, J., Feldman, N. & Hermansky, H. (2016). A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation. In ICPR.

Buon, M., Jacob, P., Loissel, E. & Dupoux, E. (2013). A non-mentalistic cause-based heuristic in human social evaluations. Cognition, 126(2), 149-155

Gekas, N., Meso, A., Masson, G. & Mamassian, P. (2017). A Normalization Mechanism for Estimating Visual Motion across Speeds and Scales. Current Biology, 27(10), 1514-1520.e3. doi:10.1016/j.cub.2017.04.022