Publications

Pressnitzer, D., Meddis, R., Delahaye, R. & Winter, I. (2001). Physiological correlates of comodulation masking release in the mammalian ventral cochlear nucleus.

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

Ponsot, E., Burred, J., Belin, P. & Aucouturier, J. (2018). Reply to Knight et al.: The complexity of inferences from speech prosody should be addressed using data-driven approaches. Proceedings of the National Academy of Sciences of the United States of America, 115(27), E6104-E6105. doi:10.1073/pnas.1806857115

Ponsot, E., Susini, P. & Meunier, S. (2017). Global loudness of rising- and falling-intensity tones: How temporal profile characteristics shape overall judgments. The Journal of the Acoustical Society of America, 142(1), 256. doi:10.1121/1.4991901

Ponsot, E., Arias, P. & Aucouturier, J. (2018). Uncovering mental representations of smiled speech using reverse correlation. The Journal of the Acoustical Society of America, 143(1), EL19. doi:10.1121/1.5020989

Ponsot, E., Burred, J., Belin, P. & Aucouturier, J. (2018). Cracking the social code of speech prosody using reverse correlation. Proceedings of the National Academy of Sciences of the United States of America, 115(15), 3972-3977. doi:10.1073/pnas.1716090115

Ponsot, E., Susini, P. & Oberfeld, D. (2016). Temporal weighting of loudness: Comparison between two different psychophysical tasks. The Journal of the Acoustical Society of America, 139(1), 406-17. doi:10.1121/1.4939959

Ponsot, E., Meunier, S., Kacem, A., Chatron, J. & Susini, P. (2015). Are Rising Sounds Always Louder? Influences of Spectral Structure and Intensity-Region on Loudness Sensitivity to Intensity-Change Direction. Acta Acustica united with Acustica, 101(6). doi:10.3813/AAA.918902

Ponsot, E., Susini, P., Saint Pierre, G. & Meunier, S. (2013). Temporal loudness weights for sounds with increasing and decreasing intensity profiles. The Journal of the Acoustical Society of America, 134(4), EL321-6. doi:10.1121/1.4819184

Ponsot, E., Susini, P. & Meunier, S. (2015). A robust asymmetry in loudness between rising- and falling-intensity tones. Attention, perception & psychophysics, 77(3), 907-20. doi:10.3758/s13414-014-0824-y

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

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

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

Paraouty, N., Stasiak, A., Lorenzi, C., Varnet, L. & Winter, I. (2018). Dual coding of frequency modulation in the ventral cochlear nucleus. Journal of Neuroscience , 17. doi:10.1523/JNEUROSCI.2107-17.2018

Paraouty, N., Ewert, S., Wallaert, N. & Lorenzi, C. (2016). Interactions between amplitude modulation and frequency modulation processing: Effects of age and hearing loss. The Journal of the Acoustical Society of America, 140(1), 121. doi:10.1121/1.4955078

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

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

Ota, K. , Wu, Q. & Mamassian, P. (2020). Visual cue estimation with non-gaussian distribution. Journal of vision, 20(11). doi:10.1167/jov.20.11.1436

Osses , A. & Kohlrausch, A. (2021). Perceptual similarity between piano notes: Simulations with a template-based perception model. The Journal of the Acoustical Society of America, 149, 3534. doi:10.1121/10.0004818

Occelli, F., Suied, C., Pressnitzer, D., Edeline, J. & Gourévitch, B. (2016). A Neural Substrate for Rapid Timbre Recognition? Neural and Behavioral Discrimination of Very Brief Acoustic Vowels. Cerebral Cortex, 26(6), 2483-2496. doi:10.1093/cercor/bhv071

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

Norman-Haignere, S., Mcdermott, J., Kanwisher, N. & Conway, B. (2019). Divergence in the functional organization of human and macaque auditory cortex revealed by fMRI responses to harmonic tones. Nature Neuroscience , 22, 1057–1060. doi:10.1038/s41593-019-0410-7

Neuert, V., Pressnitzer, D., Patterson, R. & Winter, I. (2001). The responses of single units in the inferior colliculus of the guinea pig to damped and ramped sinusoids. Hearing Research, 159, 36-52. doi:10.1016/S0378-5955(01)00318-5

Neri, P. (2021). Optimal templates for signal extraction by noisy ideal detectors and human observers. Journal of Computational Neuroscience, 49(1-20). doi:10.1007/s10827-020-00768-z

Neri, P. (2020). Complex visual analysis of ecologically relevant signals in Siamese fighting fish. Anim Cogn ., 23(1), 41-53. doi:10.1007/s10071-019-01313-x

Neri, P. (2018). The empirical characteristics of human pattern vision defy theoretically-driven expectations . PLoS Computational Biology , 14(12), e1006585. doi:10.1371/journal.pcbi.1006585

Neri, P. (2017). Object segmentation controls image reconstruction from natural scenes. PLoS biology, 15(8), e1002611. doi:10.1371/journal.pbio.1002611

Nelken, I. & de Cheveigné, A. (2013). An ear for statistics. Nature neuroscience, 16(4), 381-2. doi:10.1038/nn.3360

Myers, C., Sheynin, J., Balsdon, T., Luzardo, A., Beck, K., Hogarth, L., Haber, P. & Moustafa, A. (2016). Probabilistic reward- and punishment-based learning in opioid addiction: Experimental and computational data. Behavioural brain research, 296, 240-248. doi:10.1016/j.bbr.2015.09.018

Moustafa, A., Kéri, S., Somlai, Z., Balsdon, T., Frydecka, D., Misiak, B. & White, C. (2015). Drift diffusion model of reward and punishment learning in schizophrenia: Modeling and experimental data. Behavioural brain research, 291, 147-154. doi:10.1016/j.bbr.2015.05.024