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| • | Schutz, A. C. and Mamassian, P. (2016). Early, local motion signals generate directional preferences in depth ordering of transparent motion. J Vis, 16 10, 24.
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| • | Occelli, F, Suied, C, Pressnitzer, Daniel, Edeline, J M and Gourevitch, B (2016). A Neural Substrate for Rapid Timbre Recognition? Neural and Behavioral Discrimination of Very Brief Acoustic Vowels. Cerebral Cortex, 26 6, 2483–2496.
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| • | Mamassian, P. (2016). Sensory Plasticity: When Eye Movements Change Visual Appearance. Curr. Biol., 26 1, R24–26.
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| • | Joosten, E. R., Shamma, S. A., Lorenzi, C. and Neri, P. (2016). Dynamic Reweighting of Auditory Modulation Filters. PLoS Comput. Biol., 12 7, e1005019.
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| • | Sitt, Jacobo Diego, King, Jean-Remi, Cohen, Laurent, Naccache, Lionel and Dehaene, Stanislas (2016). Methods to monitor consciousness. US Patent App. 14/783,942.
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| • | Wolf, G., Mallat, S. and Shamma, S. (2016). Rigid motion model for audio source separation. IEEE Transactions on Signal Processing, 64(7), 1822-1831.
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| • | Wallaert, N., Moore, B.C.J. and Lorenzi, C. (2016). Comparing the effects of age on amplitude-modulation and frequency-modulation detection. Journal of the Acoustical Society of America, 139, 3088-3096.
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| • | de Gardelle, V., Le Corre, F. and Mamassian, P. (2016). Confidence as a Common Currency between Vision and Audition. PLoS ONE, 11 1, e0147901.
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| • | Paraouty, N., Ewert, S., Wallaert, N., and Lorenzi, C. (2016). Interactions between amplitude-modulation and frequency-modulation processing: Effects of age and hearing loss. Journal of the Acoustical Society of America, 140, 121-131.
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| • | Lu, K., Xu, Y., Yin, P., Oxenham, A., Fritz, J. B. and Shamma, S. (2016). Temporal Coherence Structure Rapidly Shapes Neuronal Interactions. Nature Communications, 8, 13900.
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| • | King, Jean-Rémi, Pescetelli, Niccolo and Dehaene, Stanislas (2016). Brain mechanisms underlying the brief maintenance of seen and unseen sensory information. Neuron Cell Press, 92 5, 1122–1134.
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| • | Dehaene, Stanislas and King, Jean-Remi (2016). Decoding the Dynamics of Conscious Perception: The Temporal Generalization Method. Chapter in Micro-, meso-and macro-dynamics of the brain Springer, Cham, 85–97.
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| • | de Cheveigné, A. (2016). Sparse Time Artifact Removal. Journal of Neuroscience Methods, 262, 14-20.
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| • | Calcus, A., Lorenzi, C., Collet, G., Colin, C. and Kolinsky, R. (2016). Is there a relationship between speech identification in noise and categorical perception in children with dyslexia. Journal of Speech, Language, and Hearing Research., 59, 835-852.
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| • | Akram, S., Presacco, A., Simon, J. Z., Shamma, S. A. and Babadi, B. (2016). Robust decoding of selective auditory attention from MEG in a competing-speaker environment via state-space modeling. NeuroImage, 124, 906-917.
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| • | Varnet, L., Meunier, F., Trollé, G. and Hoen, M. (2016). Direct Viewing of Dyslexics' Compensatory Strategies in Speech in Noise Using Auditory Classification Images. PLoS ONE, 11.
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| • | Tabas, Alejandro, Siebert, Anita, Supek, Selma, Pressnitzer, Daniel, Balaguer-Ballester, Emili and Rupp, André (2016). Insights on the Neuromagnetic Representation of Temporal Asymmetry in Human Auditory Cortex. PLOS ONE, 11 4, e0153947.
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| • | Spilioti, M., Vargesson, N. and Neri, P. (2016). Quantitative assessment of intrinsic noise for visually guided behaviour in zebrafish. Vision Research, 127, 104-114.
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| • | Mehta, A., Oxenham, A., Yasin, I and Shamma, S. (2016). Neural correlates of attention in a perceptually multistable auditory illusion. J Acoust Soc Am, 140, 2225-2233.
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| • | Mamassian, P (2016). Visual confidence. Annual Review of Vision Science, 2, 459-481.
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| • | Lunghi, C., Morrone, M.C., Secci, J. and Caputo, R. (2016). Binocular rivalry measured 2 hours after occlusion therapy predicts the recovery rate of the amblyopic eye in anisometropic children. Investigative Ophthalmology and Visual Science, 57 4, 1537-1546.
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| • | Lin, I-Fan, Agus, Trevor R, Suied, Clara, Pressnitzer, Daniel, Yamada, Takashi, Komine, Yoko, Kato, Nobumasa and Kashino, Makio (2016). Fast response to human voices in autism. Scientific Reports, 6, 26336.
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| • | Joosten, E.R.M., Shamma, S.A., Lorenzi, C. and Neri, P. (2016). Dynamic reweighting of auditory modulation filters. PLOS computational Biology, 12(7).
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| • | Han, S., Lunghi, C. and Alais, D. (2016). The temporal frequency tuning of continuous flash suppression reveals peak suppression at very low frequencies. Scientific Reports, 6.
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| • | Ding, N., Simon, J.Z, Shamma, S.A. and David, S.V. (2016). Encoding of natural sounds by variance of the cortical local field potential. Journal of Neurophysiology, 115, 2389-2398.
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| • | Deroy, O., Faivre, N., Lunghi, C., Spence, C., Aller, M. and Noppeney, U. (2016). The Complex Interplay between Multisensory Integration and Perceptual Awareness. Multisensory Research, 29 6, 585-606.
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| • | T. Deneux, A. Kempf, A. Daret, E. Ponsot and B. Bathellier (2016). Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities. Nature Communications, 7.
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| • | C. Demené, C. Bimbard, M. Gesnik, S. Radtke-Schuller, S. Shamma, Y. Boubenec, M. Tanter (2016). Functional Ultrasound Imaging of the thalamo-cortical auditory tract in awake ferrets using ultrafast Doppler imaging. IEEE International Ultrasonics Symposium, IUS.
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| • | Boubenec, Yves, Lawlor, Jennifer, Shamma, Shamma and Englitz, Bernhard (2016). Change Detection in Auditory Textures. Adv Exp Med Biol, 894, 229–239.
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