Publications

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

Deneux, T., Kempf, A., Daret, A., Ponsot, E. & Bathellier, B. (2016). Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities. Nature communications, 7, 12682. doi:10.1038/ncomms12682

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

Ewert, S., Paraouty, N. & Lorenzi, C. (2018). A two-path model of auditory modulation detection using temporal fine structure and envelope cues. European Journal of Neuroscience. doi:10.1111/ejn.13846

Varnet, L., Meunier, F. & Hoen, M. (2016). Speech reductions cause a de-weighting of secondary acoustic cues. In Interspeech. doi:10.21437/Interspeech.2016-343

Varnet, L., Ortiz-Barajas, M., Erra, R., Gervain, J. & Lorenzi, C. (2017). A cross-linguistic study of speech modulation spectra. The Journal of the Acoustical Society of America, 142(4), 1976. doi:10.1121/1.5006179

Lu, K., Xu, Y., Yin, P., Oxenham, A., Fritz, J. & Shamma, S. (2017). Temporal coherence structure rapidly shapes neuronal interactions. Nature communications, 8, 13900. doi:10.1038/ncomms13900

Yin, P., Shamma, S. & Fritz, J. (2016). Relative salience of spectral and temporal features in auditory long-term memory. The Journal of the Acoustical Society of America, 140(6), 4046. doi:10.1121/1.4968395

Sheikhattara , A., Mirana, S., Liuc, J., Fritz, J., Shamma, S., Kanold, P. & Babadi, B. (2017). Extracting Neuronal Functional Network Dynamics via Adaptive Granger Causality Analysis, . Proc. Nat. Acad. Sci , In press

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

Boubenec, Y., Lawlor, J., Górska, U., Shamma, S. & Englitz, B. (2017). Detecting changes in dynamic and complex acoustic environments. eLife, 6. doi:10.7554/eLife.24910

Winkowski, D., Nagode, D., Donaldson, K., Yin, P., Shamma, S., Fritz, J. & Kanold, P. (2018). Orbitofrontal Cortex Neurons Respond to Sound and Activate Primary Auditory Cortex Neurons. Cerebral cortex , 28(3):868-879(3), 868-879. doi:10.1093/cercor/bhw409

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

de Cheveigné, A., Wong, D., Di Liberto, G., Hjortkjær, J., Slaney, M. & Lalor, E. (2018). Decoding the auditory brain with canonical correlation analysis. NeuroImage, 172, 206-216. doi:10.1016/j.neuroimage.2018.01.033

de Cheveigné, A. & Arzounian, D. (2018). Robust detrending, rereferencing, outlier detection, and inpainting for multichannel data. NeuroImage, In press. doi:10.1016/j.neuroimage.2018.01.035

Andrillon, T., Pressnitzer, D., Léger, D. & Kouider, S. (2017). Formation and suppression of acoustic memories during human sleep. Nature communications, 8(1), 179. doi:10.1038/s41467-017-00071-z

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

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

Kang, H. , Agus, T. & Pressnitzer, D. (2017). Auditory memory for random time patterns. The Journal of the Acoustical Society of America, 142(4), 2219. doi:10.1121/1.5007730

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

Hansmann-Roth, S., Pont, S. & Mamassian, P. (2017). Contextual effects on real bicolored glossy surfaces. Journal of Vision, 17(2):17, 1-13. doi:10.1167/17.2.17

Hansmann-Roth, S. & Mamassian, P. (2017). A Glossy Simultaneous Contrast: Conjoint Measurements of Gloss and Lightness. i-Perception, 8(1), 2041669516687770. doi:10.1177/2041669516687770

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

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

Gekas, N., Meso, A., Masson, G. & Mamassian, P. (2017). A Normalization Mechanism for Estimating Visual Motion across Speeds and Scales. Current Biology, 27(10), 1514-1520.e3. doi:10.1016/j.cub.2017.04.022

Wallaert, N., Moore, B., Ewert, S. & Lorenzi, C. (2017). Sensorineural hearing loss enhances auditory sensitivity and temporal integration for amplitude modulation. The Journal of the Acoustical Society of America, 141(2), 971. doi:10.1121/1.4976080

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