Publications

Apoux, F., Miller-Viacava, N., Ferriere, R., Dai, H., Krause, B. , Sueur, J. & Lorenzi, C. (2023). Auditory discrimination of natural soundscapes. The Journal of the Acoustical Society of America, 153(5), 2706. doi:10.1121/10.0017972

Christianson, G., Chait, M., de Cheveigné, A. & Linden, J. (2014). Auditory evoked fields measured non-invasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. J. Neurophysiol., 112, 3053-3065. doi:10.1152/jn.00189.2014

Christianson, G., Chait, M., de Cheveigné, A. & Linden, J. (2014). Auditory evoked fields measured noninvasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. Journal of neurophysiology, 112(12), 3053-65. doi:10.1152/jn.00189.2014

Kang, H. , Macherey, O., Roman, S. & Pressnitzer, D. (2021). Auditory memory for random time patterns in cochlear implant listeners. The Journal of the Acoustical Society of America, 150(3). doi:10.1121/10.0005728

Kang, H. , Agus, T. & Pressnitzer, D. (2017). Auditory memory for random time patterns. The Journal of the Acoustical Society of America, 142(4), 2219. doi:10.1121/1.5007730

Pressnitzer, D., Graves, J., Chambers, C., de Gardelle, V. & Egré, P. (2018). Auditory Perception: Laurel and Yanny Together at Last. Current Biology, 28(13), R739-R741. doi:10.1016/j.cub.2018.06.002

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

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

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

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

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

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

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

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

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

Van Ee, R., Adams, W. & Mamassian, P. (2003). Bayesian modeling of cue interaction: bistability in stereoscopic slant perception. Journal of the Optical Society of America A, 20(7), 1398-1406. doi:10.1364/JOSAA.20.001398

Montagnini, A., Mamassian, P., Perrinet, L., Castet, E. & Masson, G. (2007). Bayesian modeling of dynamic motion integration. Journal of Physiology, Paris, 101(1-3), 64-77. doi:10.1016/j.jphysparis.2007.10.013

Mamassian, P., Landy, M., Maloney, L., Rao, R., Olshausen, B. & Lewicki, M. (2002). Bayesian modelling of visual perception. In R. Rao, B. Olshausen & M. Lewicki (Eds.), Probabilistic Models of the Brain: Perception and Neural Function (pp. 13-36). Cambridge, MA: MIT Press

Claire, S., Corazzol, M. , Labouret, G., Stockart, F. , Wexler, M., King, J. , Florent, M. & Pressnitzer, D. (2021). Bifurcation in brain dynamics reveals a signature of conscious processing independent of report. Nature Communications, 12, 1149. doi:10.1038/s41467-021-21393-z

Karaminis, T., Lunghi, C., Neil, L., Burr, D. & Pellicano, E. (2017). Binocular rivalry in children on the autism spectrum. Autism research : official journal of the International Society for Autism Research, 10(6), 1096-1106. doi:10.1002/aur.1749

Bourdillon, P. , Hermann, B. , Guénot, M. , Bastuji-Garin, S., Isnard, J., King, J. , Sitt, J. & Naccache, L. (2020). Brain-scale cortico-cortical functional connectivity in the delta-theta band is a robust signature of conscious states: an intracranial and scalp EEG study. Scientific Reports, 10, 14037. doi:10.1038/s41598-020-70447-7

Caucheteux, C. & King, J. (2022). Brains and algorithms partially converge in natural language processing. Nature Communications Biology , 5, 134. doi:10.1038/s42003-022-03036-1

Lunghi, C., Burr, D. & Morrone, C. (2011). Brief periods of monocular deprivation disrupt ocular balance in human adult visual cortex. Current Biology, 21(14). doi:10.1016/j.cub.2011.06.004

Leptourgos, P., Denève, S. & Jardri, R. (2017). Can circular inference relate the neuropathological and behavioral aspects of schizophrenia? Current opinion in neurobiology, 46, 154-161. doi:10.1016/j.conb.2017.08.012

Spalla, D. , Dubreuil, A., Rosay, S. , Monasson, R. & Treves, A. (2019). Can Grid Cell Ensembles Represent Multiple Spaces? Neural computation, 31(12), 2324-2347. doi:10.1162/neco_a_01237

Chemla, E. & R. George, B. (2016). Can We Agree About Agree? Review of Philosophy and Psychology, 7 (1), 243–264

Mamassian, P., Kersten, D. & Knill, D. (1996). Categorical local-shape perception. Perception, 25(1), 95-107. doi:10.1068/p250095

Chemla, E., Mintz, T., Bernal, S. & Christophe, A. (2009). Categorizing words using 'frequent frames': what cross-linguistic analyses reveal about distributional acquisition strategies. Developmental science, 12(3), 396-406. doi:10.1111/j.1467-7687.2009.00825.x

Lanore, F. , Cayco Gajic, A., Gurnani, H. , Coyle, D. & Angus Silver, R. (2021). Cerebellar granule cell axons support high-dimensional representations. Nature Neuroscience, 24, 1142-1150. doi:10.1038/s41593-021-00873-x

Thoret, E., Varnet, L., Boubenec, Y., Ferriere, R., Le Tourneau , F., Krause, B. & Lorenzi, C. (2020). Characterizing amplitude and frequency modulation cues in natural soundscapes: A pilot study in four habitats of a biosphere reserve. Journal of the Acoustical Society of America, 147, 3260-3274. doi:10.1121/10.0001174