Publications

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Lunghi, C., Burr, David, C. & Morrone, M., C. (2013). Long-term effects of monocular deprivation revealed with binocular rivalry gratings modulated in luminance and in color. Journal of Vision, 13(6). doi:10.1167/13.6.1

Di Liberto, G., Wong, D., Melnik, G. & de Cheveigné, A. (2019 ). Low-frequency cortical responses to natural speech reflect probabilistic phonotactics. NeuroImage, 196, 237-247. doi:10.1016/j.neuroimage.2019.04.037

Peiffer-Smadja, N. , Maatoug, R. , Lescure, F. , D’Ortenzio, E. , Pineau, J. & King, J. (2020). Machine Learning for COVID-19 needs global collaboration and data-sharing. Nat Mach Intell, . doi:10.1038/s42256-020-0181-6

Gekas, N. & Mamassian, P. (2018). Mapping the effects of stimulus history on perception. Journal of Vision, 18(10), 8-8

Füllgrabe, C., Berthommier, F. & Lorenzi, C. (2006). Masking release for consonant features in temporally fluctuating background noise. Hearing research, 211(1-2), 74-84. doi:10.1016/j.heares.2005.09.001

Acquafredda, M., D Sarı, İ., Steinwurzel, C., Lunghi, C. & Binda, P. (2023). Measuring the reliability of binocular rivalry. Journal of vision, 23(10), 5. doi:10.1167/jov.23.10.5

Ego-Stengel, V. , Abbasi, A. , Larroche, M. , Lassagne, H. , Boubenec, Y. & Shulz, D. (2019). Mechanical coupling through the skin affects whisker movements and tactile information encoding. Journal of neurophysiology, 122(4), 1606-1622. doi:10.1152/jn.00863.2018

Ponsot, E., Varnet, L., Wallaert, N., Daoud, E., Shamma, S., Lorenzi, C. & Neri, P. (2021). Mechanisms of Spectrotemporal Modulation Detection for Normal- and Hearing-Impaired Listeners. Trends Hear, 25, 2331216520978029. doi:10.1177/2331216520978029

Kang, H. , Lancelin, D. & Pressnitzer, D. (2018). Memory for Random Time Patterns in Audition, Touch, and Vision. Neuroscience, in press. doi:10.1016/j.neuroscience.2018.03.017

Recht, S. , Mamassian, P. & de Gardelle, V. (2023). Metacognition tracks sensitivity following involuntary shifts of visual attention. Psychonomic bulletin & review, 30(3), 1136-1147. doi:10.3758/s13423-022-02212-y

Recht, S. , Mamassian, P. & de Gardelle, V. (2022). Metacognition tracks sensitivity following involuntary shifts of visual attention. Psychon Bull Rev. doi:10.3758/s13423-022-02212-y

Recht, S. , de Gardelle, V. & Mamassian, P. (2021). Metacognitive blindness in temporal selection during the deployment of spatial attention. Cognition, 216, 104864. doi:10.1016/j.cognition.2021.104864

Recht, S. , de Gardelle, V. & Mamassian, P. (2019). Metacognitive estimates of time during spatial orienting of attention. Journal of vision, 19(10), 214c-214c. doi:10.1167/19.10.214c

Mamassian, P. (2021). Modeling perceptual confidence and the confidence forced-choice paradigm. Psychological Review, . doi:10.1037/rev0000312

Ota, K. , Wu, Q. , Mamassian, P. & Maloney, L. (2021). Modeling visual estimation of the centers of symmetric distributions. , 21(9), 2381. doi:10.1167/jov.21.9.2381

Goodman, D., Winter, I., Léger, A., de Cheveigné, A. & Lorenzi, C. (2018). Modelling firing regularity in the ventral cochlear nucleus: Mechanisms, and effects of stimulus level and synaptopathy. Hearing research, 358, 98-100. doi:10.1016/j.heares.2017.09.010

Antonelli, M., Lunghi, C. & Gori, M. (2022). Moderate physical activity alters the estimation of time, but not space. Sec. Perception Science . doi:10.3389/fpsyg.2022.1004504

Simoncini, C., Perrinet, L., Montagnini, A., Mamassian, P. & Masson, G. (2012). More is not always better: adaptive gain control explains dissociation between perception and action. Nature Neuroscience, 15(11), 1596-1603. doi:10.1038/nn.3229

Maravall, M., Ostojic, S., Pressnitzer, D. & Chait, M. (2018). More than the Sum of its Parts: Perception and Neuronal Underpinnings of Sequence Processing. Neuroscience, in press. doi:10.1016/j.neuroscience.2018.07.043

Kersten, D., Mamassian, P. & Knill, D. (1997). Moving cast shadows induce apparent motion in depth. Perception, 26(2), 171-192. doi:10.1068/p260171

Bimbard, C., Demene, C. , Girard, C. , Radtke-Schuller, S., Shamma, S., Tanter, M. & Boubenec, Y. (2018). Multi-scale mapping along the auditory hierarchy using high-resolution functional UltraSound in the awake ferret. eLIFE. doi:10.7554/eLife.35028.001

Otto, T. & Mamassian, P. (2017). Multisensory decisions: The test of a race model, its logic, and power. Multisensory Research, 30(1), 1-24. doi:10.1163/22134808-00002541

Alais, D., Newell, F. & Mamassian, P. (2010). Multisensory processing in review: from physiology to behaviour. Seeing and Perceiving, 23(1), 3-38. doi:10.1163/187847510X488603

de Cheveigné, A., Di Liberto, G., Arzounian, D., Wong, D., Hjortkjaer, J., Fuglsang , S. & Parra, L. (2019). Multiway canonical correlation analysis of brain signals. NeuroImage, 186, 728-740. doi:10.1016/j.neuroimage.2018.11.026

Pressnitzer, D. (2023). Music cognition: Can you carry over that tune? Current biology : CB, 33(8), R296-R298. doi:10.1016/j.cub.2023.03.029

Patil, K., Pressnitzer, D., Shamma, S. & Elhilali, M. (2012). Music in our ears: the biological bases of musical timbre perception. PLoS computational biology, 8(11), e1002759. doi:10.1371/journal.pcbi.1002759

Di Liberto, G., PELOFI, C., Shamma, S. & de Cheveigné, A. (2020). Musical expertise enhances the cortical tracking of the acoustic envelope during naturalistic music listening. Acoustical Science and Technology (Japan), 41 (1), 361-364. doi:10.1250/ast.41.361

Mamassian, P., Jentzsch, I., Bacon, B. & Schweinberger, S. (2003). Neural correlates of shape from shading. NeuroReport, 14(7), 971-975. doi:10.1097/01.wnr.0000069061.85441.f2

Gwilliams, L., King, J. , Marantz, A. & Poeppel, D. (2022). Neural dynamics of phoneme sequences reveal position-invariant code for content and order. Nature Communications, 13(6606). doi:10.1038/s41467-022-34326-1