Publications

de Cheveigné, A. (2019). ZapLine: a simple and effective method to remove power line artifacts. NeuroImage, 207, 116356. doi:10.1016/j.neuroimage.2019.116356

de Cheveigné, A. (2023). Why is the perceptual octave stretched? An account based on mismatched time constants within the auditory brainstem. The Journal of the Acoustical Society of America, 153(5), 2600. doi:10.1121/10.0017978

Engelen, T., Buot, A., Grèzes, J. & Tallon-Baudry, C. (2023). Whose emotion is it? Perspective matters to understand brain-body interactions in emotions. NeuroImage, 268, 119867. doi:10.1016/j.neuroimage.2023.119867

Boubenec, Y., Shulz, D. & Debrégeas, G. (2012). Whisker encoding of mechanical events during active tactile exploration. Frontiers in Behavioral Neuroscience, 6:74, 1-16. doi:10.3389/fnbeh.2012.00074

Claverie, L., Boubenec, Y., Debrégeas, G., Prevost, A. & Wandersman, E. (2017). Whisker Contact Detection of Rodents Based on Slow and Fast Mechanical Inputs. Frontiers in behavioral neuroscience, 10, 251. doi:10.3389/fnbeh.2016.00251

Cousineau, M., Demany, L. & Pressnitzer, D. (2009). What makes a melody: The perceptual singularity of pitch sequences. The Journal of the Acoustical Society of America, 126(6), 3179-87. doi:10.1121/1.3257206

Lakretz, Y. , Dehaene, S. & King, J. (2020). What Limits Our Capacity to Process Nested Long-Range Dependencies in Sentence Comprehension? Entropy, 22(4), 446. doi:10.3390/e22040446

Cousineau, M., Carcagno, S., Demany, L. & Pressnitzer, D. (2014). What is a melody? On the relationship between pitch and brightness of timbre. Frontiers in systems neuroscience, 7, 127. doi:10.3389/fnsys.2013.00127

Grinfeder, E., Lorenzi, C., Haupert, S. & Sueur, J. (2022). What Do We Mean by “Soundscape”? A Functional Description. Front. Ecol. Evol, 10, 894232. doi:10.3389/fevo.2022.894232

Cousineau, M., Demany, L., Meyer, B. & Pressnitzer, D. (2010). What breaks a melody: perceiving F0 and intensity sequences with a cochlear implant. Hearing research, 269(1-2), 34-41. doi:10.1016/j.heares.2010.07.007

Casati, R. & Tonello, F. (2018). Voto elettronico e partecipazione democratica. Web e società democratica (pp. 3-15). Turin: Accademia University Press

Agus, T., Paquette, S., Suied, C., Pressnitzer, D. & Belin, P. (2017). Voice selectivity in the temporal voice area despite matched low-level acoustic cues. Scientific reports, 7(1), 11526. doi:10.1038/s41598-017-11684-1

Chevallier, C. (2021). Vivre dans un environnement risqué : quels impacts pour la psychologie ? In Claudia Senik (Eds.), Sociétés en danger (Odile Jacob ed., pp. 197 à 208). Paris: La Découverte. doi:10.3917/dec.senik.2021.01.0197

Paraouty, N. & Lorenzi, C. (2017). Using individual differences to assess modulation-processing mechanisms and age effects. Hearing research, 344, 38-49. doi:10.1016/j.heares.2016.10.024

Pressnitzer, D. & Mcadams, S. (1999). Two phase effects in roughness perception. Journal of the Acoustical Society of America, 105(5), 2773-2782. doi:10.1121/1.426894

Pichon, S., De Gelder, B. & Grèzes, J. (2009). Two different faces of threat. Comparing the neural systems for recognizing fear and anger in dynamic body expressions. NeuroImage, 47(4), 1873-83. doi:10.1016/j.neuroimage.2009.03.084

Demany, L., Pressnitzer, D. & Semal, C. (2009). Tuning properties of the auditory frequency-shift detectors. The Journal of the Acoustical Society of America, 126(3), 1342-8. doi:10.1121/1.3179675

Desbordes, T., King, J. & Dehaene, S. (2024). Tracking the neural codes for words and phrases during semantic composition, working-memory storage, and retrieval. Cell reports, 43(3), 113847. doi:10.1016/j.celrep.2024.113847

Safra, L., Chevallier, C., Grèzes, J. & Baumard, N. (2020). Tracking historical changes in trustworthiness using machine learning analyses of facial cues in painting. Nature Communications, 11, 4728. doi:10.1038/s41467-020-18566-7

Gwilliams, L., Marantz, A. , Poeppel, D. & King, J. (2023). Top-down information shapes lexical processing when listening to continuous speech. Language, Cognition and Neuroscience . doi:10.1080/23273798.2023.2171072

Jones, B. , DeBruine, L. , .., .., Chevallier, C. & (Et Al), . (2021). To which world regions does the valence–dominance model of social perception apply? Nat Hum Behav, 5, 159-169. doi:10.6084/m9.figshare.7611443.v1

Collins, T. & Jacquet, P. (2018). TMS over posterior parietal cortex disrupts trans-saccadic visual stability. Brain stimulation, 11(2), 390-399. doi:10.1016/j.brs.2017.11.019

Cavanagh, P., Casati, R. & Elder , J. (2018). Tight shadows shrink depth. Journal of Vision, 18, 493. doi:10.1167/18.10.493

Pichon, S., De Gelder, B. & Grèzes, J. (2012). Threat prompts defensive brain responses independently of attentional control. Cerebral cortex (New York, N.Y. : 1991), 22(2), 274-85. doi:10.1093/cercor/bhr060

Chevallier, C. (2019). Theory of mind and autism: Revisiting Baron-Cohen et al.’s Sally-Anne study. In A. Slater and P. Quinn (Eds.), Developmental Psychology: Revisiting the Classic Studies 2nd edition (pp. 148-163).Sage

Verschooten, E. , Shamma, S., Oxenham, A., Moore, B., Joris, P. , Heinz, M. & Plack, C. (2019). The upper frequency limit for the use of phase locking to code temporal fine structure in humans: A compilation of viewpoints. Hearing Research, 377, 109-121. doi:10.1016/j.heares.2019.03.011

Arcangeli, M. (2019). The Two Faces of Mental Imagery. Philosophy and Phenomenological Research

Mennella, R., Sarlo, M., Messerotti Benvenuti, S., Buodo, G., Mento, G. & Palomba, D. (2017). The two faces of avoidance: Time-frequency correlates of motivational disposition in blood phobia. Psychophysiology, 54(11), 1606-1620. doi:10.1111/psyp.12904

Jurado, C., Chow, P., Leung, L., Larrea, M., Vizuete, J., de Cheveigné, A. & Marquart, T. (2022). The Spectral Extent of Phasic Suppression of Loudness and Distortion-Product Otoacoustic Emissions by Infrasound and Low-Frequency Tones. Journal of the Association for Research in Otolaryngology (JARO), 23(2), 167-181. doi:10.1007/s10162-021-00830-2

Leman, M., Avanzini, F., de Cheveigné, A. & Bigand, E. (2007). The societal contexts for sound and music computing: Research, education, industry, and socio-culture. Journal of New Music Research, 36(3), 149-167. doi:10.1080/09298210701859164