Publications

Mamassian, P. (2006). Bayesian inference of form and shape. Progress in Brain Research, 154, 265-270. doi:10.1016/S0079-6123(06)54014-2

Maloney, L. & Mamassian, P. (2009). Bayesian decision theory as a model of human visual perception: Testing Bayesian transfer. Visual Neuroscience, 26(1), 147-155. doi:10.1017/S0952523808080905

Adams, W. & Mamassian, P. (2004). Bayesian combination of ambiguous shape cues. Journal of Vision, 4(10), 921-929. doi:10.1167/4.10.7

Daniele, G. , Lunghi, C., Dardano, A. , Binda, P. , Ceccarini, G., Ferruccio, S. , Giusti, L. , Ciccarone, A. , Bellini, R. , Moretto, C. , Maria Concetta, M. & Del Prato, S. (2021). Bariatric surgery restores visual cortical plasticity in nondiabetic subjects with obesity. International Journal of Obesity , 45, 1821-1829. doi:10.1038/s41366-021-00851-0

Spector, B. (2013). Bare Numerals and Scalar Implicatures. Linguistics and Language Compass, 7(5), 273-294. doi:10.1111/lnc3.12018

Varzi, A. & Casati, R. (2021). Ballot Ontology. In Sara Bernstein & Tyron Goldschmidt (Eds.), Non-Being: New Essay on the Metaphysics of Non-Existence (pp. 139–164). Oxford: Oxford University Press.

Varzi, A. & Casati, R. (2020). Ballot Ontology. In Sara Bernstein & Tyron Goldschmidt (Eds.), Non-Being: New Essay on the Metaphysics of Non-ExistenceOxford University Press

Casati, R. & Varzi, A. (2004). Background and Figure. in Rivista di estetica (special issue in honor of Paolo Bozzi)

King, J. , Charton, F. , Lopez-Paz, D. & Oquab, M. (2020). Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations. NeuroImage, 220, 117028. doi:10.1016/j.neuroimage.2020.117028

Cao, X., Dakhlia, C., Del Carmen, P., Jaouani, M., Ould-Arbi, M. & Dupoux, E. (2018). Baby Cloud, a technological platform for parents and researchers. In LREC 2018 - 11th edition of the Language Resources and Evaluation Conference.

Vittori, A., Orth, M., Roos, R., Outeiro, T., Giorgini, F., Hollox, E. & Registry Investigators Of The European Huntington'S Disease, N. (2013). β-Defensin genomic copy number does not influence the age of onset in Huntington's Disease. Journal of Huntington's disease. doi:10.3233/jhd-130002

Vittori, A., Orth, M., Roos, R., Outeiro, T., Giorgini, F., Hollox, E., Bachoud-Levi, A. & Registry Investigators Of The European Huntington’s Disease, N. (2013). β-defensin genomic copy number does not influence the age of onset in huntington’s disease. Journal of Huntington's Disease, 2(1), 107-124. doi:10.3233/JHD-130047

Arcangeli, M., Sperduti, M., Jacquot, A., Piolino, P. & Dokic, J. (2020). Awe and the Experience of the Sublime: A Complex Relationship. Frontiers in Psychology, 11, 1340. doi:10.3389/fpsyg.2020.01340

Cleret de Langavant, L., Fenelon, G., Benisty, S., Boissé, M., Jacquemot, C. & Bachoud-Levi, A. (2013). Awareness of memory deficits in early stage Huntington's disease. PloS one, 8(4), e61676. doi:10.1371/journal.pone.0061676

Bayen , E., Cleret de Langavant, L., Gouriou, C. , Pradat-Diehl, P., Canouï-Poitrine, F., Yaffe , K. & Lawlor, B. (2020). Awareness of dementia risk and of brain-healthy lifestyles in medical students implementing new brain health classes in French schools. , 16(S10). doi:10.1002/alz.042091

Dalla Barba , G., Bartolomeo, P., Ergis, A., Boissé, M. & Bachoud-Levi, A. (1999). Awareness of anosognosia following head trauma. Neurocase, 5(1), 59-67. doi:10.1093/neucas/5.1.59

Louadfel, H. , Renard, L. , Levy, R., Faugeras, F., Kalsoum, E. , Nataf, E. , Neven, B. , Hosseini, H. & Bachoud-Levi, A. (2022). AVC ischémique sur dissection intracrânienne en lien avec un déficit en DOCK 8. Revue Neurologique, 178, S88. doi:10.1016/j.neurol.2022.02.325

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

Räsänen, O., Seshadri, S., Karadayi, J., Riebling , E., Bunce , J., Cristia, A., Metze, F., Bergelson, E. & Soderstrom, M. (2019). Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech. Speech Communication, 113, 63-80. doi:10.1016/j.specom.2019.08.005

Ludusan, B. & Dupoux, E. (2016). Automatic syllable segmentation using broad phonetic class information. , Vol. 81: In SLTU-2016 Procedia Computer Science, 101-106.

Visser, E., Keuken, M., Douaud, G., Gaura, V., Bachoud-Levi, A., Remy, P., Forstmann, B. & Jenkinson, M. (2016). Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool. NeuroImage, 125, 479-497. doi:10.1016/j.neuroimage.2015.10.013

Zimmerer, V. , Hardy, C. , Eastman, J. , Dutta, S. , Varnet, L., Bond, R. , Russell, L. , D. Warren, J. & Varleya, R. (2020). Automated profiling of spontaneous speech in primary progressive aphasia and behavioral-variant frontotemporal dementia: An approach based on usage-frequency. Cortex, 133, 103-119. doi:10.1016/j.cortex.2020.08.027

L’her, E., Jaber, S., Verzilli, D., Jacob, C., Huiban, B., Futier, E., Kerforne, T., Pateau, V., Bouchard, P., Gouillou, M., Nowak, E. & Lellouche, F. (2019). Automated oxygen administration versus conventional oxygen therapy after major abdominal or thoracic surgery: study protocol for an international multicentre randomised controlled study. BMJ Open. doi:10.1136/bmjopen-2018-023833

Souchay , C., Ohlson , M. & Zalla, T. (2017). Autobiographical memory and Theory of Mind in Autism Spectrum Disorder. In Wiley & sons (Eds.), The Wiley Handbook of Autobiographical Memory, Autism Spectrum Disorder, and the Law

de Vignemont, F. & Frith, U. (2007). Autism, morality and empathy. In Walter Sinnott-Armstrong (Eds.), Moral Psychology volume 3: The Neuroscience of Morality: Emotion, Disease, and Development (pp. 273-280). Cambridge, Mass: MIT Press

V Kuchibhotla, K. , Hindmarsh Sten, T., C. Papadoyannis, E. , Elnozahy, S. , Fogelson, K. , Chillale, R. , Boubenec, Y., C. Holland, P. , Ostojic, S. & C. Froemke, R. (2020). Author Correction: Dissociating task acquisition from expression during learning reveals latent knowledge. Nat Commun, 11(3176). doi:10.1038/s41467-020-17023-9

Guehl, D., Burbaud, P., Lorenzi, C., Ramos, C., Bioulac, B., Semal, C. & Demany, L. (2008). Auditory temporal processing in Parkinson's disease. Neuropsychologia, 46(9), 2326-35. doi:10.1016/j.neuropsychologia.2008.03.007

Micheyl, C., Hanson, C., Demany, L., Shamma, S. & Oxenham, A. (2013). Auditory stream segregation for alternating and synchronous tones. Journal of experimental psychology. Human perception and performance, 39(6), 1568-80. doi:10.1037/a0032241

de Cheveigné, A., Slaney, M., Fuglsang , S. & Hjortkjaer, J. (2021). Auditory Stimulus-response Modeling with a Match-Mismatch Task. Journal of Neural Engineering, 18 (4), 046040. doi:10.1101/2020.11.05.370072

Suied, C., Drémeau, A., Pressnitzer, D. & Daudet, L. (2013). Auditory sketches: Sparse representations of sounds based on perceptual models. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 154-170. doi:10.1007/978-3-642-41248-6_9