Publications

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

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

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. (2018). Classification images as descriptive statistics. "Journal of Mathematical Psychology", "82"("1), "26–37"

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

Moon, I., Won, J., Park, M., Ives, D., Nie, K., Heinz, M., Lorenzi, C. & Rubinstein, J. (2014). Optimal combination of neural temporal envelope and fine structure cues to explain speech identification in background noise. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(36), 12145-54. doi:10.1523/JNEUROSCI.1025-14.2014

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

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

Mehta, A., Jacoby, N., Yasin, I., Oxenham, A. & Shamma, S. (2017). An auditory illusion reveals the role of streaming in the temporal misallocation of perceptual objects. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 372. doi:10.1098/rstb.2016.0114

Masson, G., Gekas, N., Meso, A., Simoncini, C. & Mamassian, P. (2019). Dynamic non-linear interactions serving speed estimation inferred from channel interactions during ocular following. Joural of Vision, 19(10), 167b-167b. doi:10.1167/19.10.167b

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

Marion, G. , Di Liberto, G. & Shamma, S. (2021). The Music of Silence. Part I: Responses to Musical Imagery Encode Melodic Expectations and Acoustics. Journal of Neuroscience, JN-RM-0183-21. doi:10.1523/JNEUROSCI.0183-21.2021

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

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

Mamassian, P. (2020). Confidence Forced-Choice and Other Metaperceptual Tasks. , 49(6), 616-635. doi:10.1177/0301006620928010

Mamassian, P. & Zannoli, M. (2020). Sensory loss due to object formation. Vision Research, 14, 22-40. doi:10.1016/j.visres.2020.05.005

Mamassian, P. (2016). Visual Confidence. Annual Review of Vision Science, 2, 459-481. doi:10.1146/annurev-vision-111815-114630

Mamassian, P. & Landy, M. (1998). Observer biases in the 3D interpretation of line drawings. Vision Research, 38(18), 2817-2832. doi:10.1016/S0042-6989(97)00438-0