Publications

Di Liberto, G., PELOFI, C., Bianco, R. , Patel, P. , Mehta, A. , Herrero, J. , de Cheveigné, A., Shamma, S. & Mesgarani, N. (2021). Cortical encoding of melodic expectations in human temporal cortex. e-Life, 9, e51784. doi:10.7554/eLife.51784

Kuchibhotla, K., Hindmarsh Sten, T., Papadoyannis, E., Elnozahy, S. , Fogelson, K. , Kumar, R., Boubenec, Y., Holland, P., Ostojic, S. & Froemke, R. (2020). Dissociating task acquisition from expression during learning reveals latent knowledge. Nature communications, 10(1), 2151. doi:10.1038/s41467-019-10089-0

Schaffhauser, T., Boubenec, Y. & Mamassian, P. (2021). EEG signature of evidence integration suggests distinct visual and auditory representation in multisensory context. Journal of Vision, 21, 2627. doi:10.1167/jov.21.9.2627

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

Narbona Sabaté, L. , Mesbahi, G. , Dezecache, G., Cäsar, C., Zuberbühler, K. & Berthet, M. (2022). Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system. Ethology Ecology & Evolution , . doi:10.1080/03949370.2021.2015452

Attia, S., King, A., Varnet, L., Ponsot, E. & Lorenzi, C. (2022). Erratum: Double-pass consistency for amplitude- and frequency-modulation detection in normal-hearing listeners [J. Acoust. Soc. Am. 150, 3631–3647 (2021)] The Journal of the Acoustical Society of America, 151, 1180. doi:10.1121/10.0009583

Sensorimotor Learning of Sound Localization from an Auditory Evoked Behavior

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

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

Wong, D., Di Liberto, G. & de Cheveigné, A. (2019). Accurate Modeling of Brain Responses to Speech. bioRxiv. doi:10.1101/509307

Pressnitzer, D., Patterson, R. & Krumbholz, K. (2001). The lower limit of melodic pitch. Journal of the Acoustical Society of America, 109. doi:10.1121/1.1359797

Pressnitzer, D., Mcadams, S., Winsberg, S. & Fineberg, J. (2000). Perception of musical tension for nontonal orchestral timbres and its relation to psychoacoustic roughness. . doi:10.3758/bf03212061

Checchetto, A., Geraci, C., Cecchetto, C. & Zucchi, S. (2018). The language instinct in extreme circumstances: The transition to tactile Italian Sign Language ( LISt ) by Deafblind signers. Glossa, 3(1)

Mantovan, L. & Geraci, C. (2017). The syntax of nominal modification in Italian Sign Language (LIS) Sign Language and Linguistics, 20(2), 183-220

Marozeau, J. & de Cheveigné, A. (2007). The effect of fundamental frequency on the brightness dimension of timbre. Journal of the Acoustical Society of America, 121(1), 383-387. doi:10.1121/1.2384910

Le Roux, J., Kameoka, H., Ono, N., de Cheveigné, A. & Sagayama, S. (2007). Single and multiple F-0 contour estimation through parametric spectrogram Modeling of speech in noisy environments. Ieee Transactions on Audio Speech and Language Processing, 15(4), 1135-1145. doi:10.1109/TASL.2007.894510

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

Landemard, A., Bimbard, C., Demene, C. , Shamma, S., Norman-Haignere, S. & Boubenec, Y. (2021). Distinct higher-order representations of natural sounds in human and ferret auditory cortex. eLife, 10 , e65566. doi:10.7554/eLife.65566

Varnet, L., Agnès C., L., Boucher, S. , Bonnet, C. , Petit, C. & Lorenzi, C. (2021). Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis. Front. Aging Neurosci., 13, 83. doi:10.3389/fnagi.2021.640522

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Briseño-Jaramillo, M. , Berthet, M., Estrada, A. , Biquand, V. & Lemasson, A. (2021). Socially mediated overlap in vocal interactions between free-ranging black howler monkeys. , 83(8), e23297. doi:10.1002/ajp.23297

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

Anvari, A. & Blumberg, K. (2021). Subclausal Local Contexts. Journal of Semantics, ffab004. doi:10.1093/jos/ffab004/6291386

Marie, A. , Yesilaltay , S. & Strickland, B. (2020). The cognitive foundations of misinformation on science - What we know and what scientists can do about it. EMBO Rep , 21(4), e50205. doi:10.15252/embr.202050205

Falck, A., Labouret, G., Izard, V., Wertz, A., Keil Frank, C. & Strickland, B. (2020). Core cognition in adult vision: A surprising discrepancy between the principles of object continuity and solidity. Journal of Experimental Psychology: General, 149(12), 2250–2263. doi:10.1037/xge0000785

Kuhn, J., Geraci, C., Schlenker, P. & Strickland, B. (2021). Boundaries in Space and Time: Iconic Biases Across Modalities . Cognition, 210, 104596. doi:10.1016/j.cognition.2021.104596

Spector, B. (2020). Modified Numerals. The Wiley Blackwell Companion to Semantics, 1-28. doi:10.1002/9781118788516.sem120

Schlenker, P. (2020). Gestural grammar. Natural Language & Linguistic Theory , 38(11). doi:10.1007/s11049-019-09460-z

Schlenker, P. (2021). Logical visibility and iconicity in sign language semantics. In Quer, Josep; Pfau, Roland; Herrmann, Annika (Eds.), The Routledge Handbook of Theoretical and Experimental Sign Language Research (Routledge ed.).

Schlenker, P. (2021). Iconic presuppositions. Natural Language & Linguistic Theory , 39, 215-289. doi:10.1007/s11049-020-09473-z