Publications

Michel, M. , Beck, D. , .., .., King, J. , Kouider, S., Tallon-Baudry, C. & Yoshida , M. (2019). Opportunities and challenges for a maturing science of consciousness. Nature Human Behaviour, 3, 104-107. doi:10.1038/s41562-019-0531-8

Lemi, L. , Gwilliams, L., Samaha, J., Auksztulewicz, R., M Cycowicz, Y. , King, J. , Nikulin, V., Thesen, T. , Doyle, W. , Devinsky, O. , E Schroeder, C. , Melloni, L. & Haegens, S. (2022). Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability. NeuroImage , 247, 118746. doi:10.1016/j.neuroimage.2021.118746

Souffi , S., Lorenzi, C., Varnet, L. & Edeline, J. (2020). Noise-sensitive but more precise subcortical representations co-exist with robust cortical encoding of natural vocalizations. Journal of Neuroscience, 2731, 19. doi:10.1523/JNEUROSCI.2731-19.2020

O’sullivan, A., Crosse, M., Di Liberto, G., de Cheveigné, A. & Lalor, E. (2021). Neurophysiological indices of audiovisual speech integration are enhanced at the phonetic level for speech in noise. Journal of Neuroscience, 41, 4991-5003. doi:10.1523/JNEUROSCI.0906-20.2021

Di Liberto, G., Hjortkjær, J. & Nima, M. (2022). Neural Tracking: Closing the Gap Between Neurophysiology and Translational Medicine. Front. Neurosci. doi:10.3389/fnins.2022.872600

Di Liberto, G., Nie, J. , Yeaton, J. , Khalighinejad, B. , Shamma, S. & Mesgarani, N. (2021). Neural representation of linguistic feature hierarchy reflects second-language proficiency. NeuroImage, 222, 117586. doi:10.1016/j.neuroimage.2020.117586

Martin , S., Mikutta, C., Leonard, M. , Hungate, D., Koelsch, S., Shamma, S., Chang, E., Millán, J., Knight, R. & Pasley, B. (2018). Neural Encoding of Auditory Features during Music Perception and Imagery. Cerebral cortex (New York, N.Y. : 1991), 28(12), 4222-4233. doi:10.1093/cercor/bhx277

Mikutta, C., Leonard, M. , Hungate, D., Koelsch, S., Shamma, S., Chang, E., Millán, J., Knight, R. & Pasley, B. (2017). Neural Encoding of Auditory Features during Music Perception and Imagery. Cerebral Cortex, 1(12). doi:10.1093/cercor/bhx277

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

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

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

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

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

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

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

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

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

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

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

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

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

Shamma, S., Patel, P. , Mukherjee, S. , Marion, G. , Khalighinejad, B. , Han, C. , Herrero, J. , Bickel, S. , Mehta, A. & Mesgarani, N. (2021). Learning Speech Production and Perception through Sensorimotor Interactions. Cerebral Cortex Communications, 2(1), taag091. doi:10.1093/texcom/tgaa091

Francis, N., Elgueda, D., Englitz, B., Fritz, J. & Shamma, S. (2018). Laminar profile of task-related plasticity in ferret primary auditory cortex. Scientific reports, 8(1), 16375. doi:10.1038/s41598-018-34739-3

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation: a versatile tool for multichannel data analysis. NeuroImage, 98(487-505). doi:10.1016/j.neuroimage.2014.05.068

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation, a versatile tool for multichannel data analysis. NeuroImage, 98, 487-505. doi:10.1016/j.neuroimage.2014.05.068

Calcus, A., Lorenzi, C., Collet, G., Colin, C. & 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 : JSLHR, 59(4), 835-52. doi:10.1044/2016_JSLHR-H-15-0076

Ardoint, M., Lorenzi, C., Pressnitzer, D. & Gorea, A. (2008). Investigation of perceptual constancy in the temporal-envelope domain. The Journal of the Acoustical Society of America, 123(3), 1591-601. doi:10.1121/1.2836782

Gwilliams, L., Flick, G., Marantz, A. , Pylkkänen, L., Poeppel, D. & King, J. (2023). Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Scientific data, 10(1), 862. doi:10.1038/s41597-023-02752-5

PELOFI, C., de Gardelle, V., Egré, P. & Pressnitzer, D. (2017). Interindividual variability in auditory scene analysis revealed by confidence judgements. Philosophical Transactions of the Royal Society: Biological Science, 372. doi:10.1098/rstb.2016.0107

Li, K., Rajendran, V., Mishra, A. , Chan, C. & Schnupp, J. (2021). Interaural time difference tuning in the rat inferior colliculus is predictive of behavioral sensitivity. Hearing Research, 409, 108331. doi:10.1016/j.heares.2021.108331