Publications

Grandin, A. , Guillou, L., Abdel Sater, R., Foucault, M. & Chevallier, C. (2022). Socioeconomic status, time preferences and pro-environmentalism. Journal of Environmental Psychology, 79, 101720. doi:10.1016/j.jenvp.2021.101720

Widmer, G., Rocchesso, D., Välimäki, V., Erkut, C., Gouyon, F., Pressnitzer, D., Penttinen, H., Polotti, P. & Volpe, G. (2007). Sound and music computing: Research trends and some key issues. Journal of New Music Research, 36(3), 169-184. doi:10.1080/09298210701859222

de Cheveigné, A. (2016). Sparse time artifact removal. Journal of neuroscience methods, 262, 14-20. doi:10.1016/j.jneumeth.2016.01.005

Lages, M., Mamassian, P. & Graf, E. (2003). Spatial and temporal tuning of motion in depth. Vision Research, 43(27), 2861-2873. doi:10.1016/j.visres.2003.08.006

Graves, J. & Oxenham, A. (2019). Spectral and temporal models of human pitch perception with mixtures of three concurrent harmonic complexes. The Journal of the Acoustical Society of America, 145(3), 1784-1784. doi:10.1121/1.5101525

Shamma, S. & Dutta, K. (2019). Spectro-temporal templates unify the pitch percepts of resolved and unresolved harmonics. The Journal of the Acoustical Society of America, 145(2), 615. doi:10.1121/1.5088504

Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. & Giraud, A. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, 1-45. doi:10.7554/eLife.06213

Sheft, S., Ardoint, M. & Lorenzi, C. (2008). Speech identification based on temporal fine structure cues. The Journal of the Acoustical Society of America, 124(1), 562-75. doi:10.1121/1.2918540

Lorenzi, C., Husson, M., Ardoint, M. & Debruille, X. (2006). Speech masking release in listeners with flat hearing loss: effects of masker fluctuation rate on identification scores and phonetic feature reception. International journal of audiology, 45(9), 487-95. doi:10.1080/14992020600753213

Lorenzi, C., Gilbert, G., Carn, H., Garnier, S. & Moore, B. (2006). Speech perception problems of the hearing impaired reflect inability to use temporal fine structure. Proceedings of the National Academy of Sciences of the United States of America, 103(49), 18866-9. doi:10.1073/pnas.0607364103

Buss , E., Leibold , L. & Lorenzi, C. (2018). Speech recognition for school-age children and adults tested in multi-tone vs multi-noise band-maskers. Journal of the Acoustical Society of America, 143(3), 1458-1666. doi:10.1121/1.5026795

Ziegler, J., Pech-Georgel, C., George, F. & Lorenzi, C. (2009). Speech-perception-in-noise deficits in dyslexia. Developmental science, 12(5), 732-45. doi:10.1111/j.1467-7687.2009.00817.x

Meso, A., Gekas, N., Mamassian, P. & Masson, G. (2022). Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions. eNeuro, 13(9), 3. doi:10.1523/ENEURO.0511-21.2022

Gekas, N., Perrinet, L., Mamassian, P., Montagnini, A. & Masson, G. (2018). Speed uncertainty and motion perception with naturalistic random textures. Journal of Vision, 18(10), 345

Muller, L., Brette, R. & Gutkin, B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in Computational Neuroscience, 15(5), 45. doi:10.3389/fncom.2011.00045

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792

Pavlek, B., Winters, J. & Morin, O. (2022). Standards and quantification of coin iconography: possibilities and challenges. Digital Scholarship in the Humanities, 37(1), 202-217. doi:10.1093/llc/fqab030

Elgueda, D., Duque, D., Radtke-Schuller, S., Yin, P., David, S., Shamma, S. & Fritz, J. (2019). State-dependent encoding of sound and behavioral meaning in a tertiary region of the ferret auditory cortex. Nature neuroscience, 22(3), 447-459. doi:10.1038/s41593-018-0317-8

Chopin, A., Mamassian, P. & Blake, R. (2012). Stereopsis and binocular rivalry are based on perceived rather than physical orientations. Vision Research, 63, 63-68. doi:10.1016/j.visres.2012.05.003

Narain, D., Smeets, J., Mamassian, P., Brenner, E. & Van Beers, R. (2014). Structure learning and the Occam's razor principle: a new view of human function acquisition. Frontiers in Computational Neuroscience, 8(121), 1-13. doi:10.3389/fncom.2014.00121

Wexler, M., Mamassian, P. & Schütz, A. (2022). Structure of visual biases revealed by individual differences. Vision Research, 195, 108014. doi:10.1016/j.visres.2022.108014

Chevallier, C., Parish-Morris, J., Tonge, N., Le, L., Miller, J. & Schultz, R. (2014). Susceptibility to the audience effect explains performance gap between children with and without autism in a theory of mind task. Journal of experimental psychology. General, 143(3), 972-9. doi:10.1037/a0035483

Mamassian, P. & Wallace, J. (2010). Sustained directional biases in motion transparency. Journal of Vision, 10(13), 23. doi:10.1167/10.13.23

Calcus, A., Schoof, T., Rosen , S., Shinn-Cunningham, B. & Souza , P. (2020). Switching Streams Across Ears to Evaluate Informational Masking of Speech-on-Speech. Ear and Hearing, 41(1), 208-216. doi:10.1097/AUD.0000000000000741

Zannoli, M., Cass, J., Mamassian, P. & Alais, D. (2012). Synchronized audio-visual transients drive efficient visual search for motion-in-depth. PloS One, 7(5), e37190. doi:10.1371/journal.pone.0037190

Zakharov, D., Lapish, C., Gutkin, B. & Kuznetsov, A. (2016). Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers in computational neuroscience, 10, 48. doi:10.3389/fncom.2016.00048

Balsdon, T. & Clifford, C. (2018). Task Dependent Effects of Head Orientation on Perceived Gaze Direction. Frontiers in Psychology, 9, 2491. doi:10.3389/fpsyg.2018.02491

Chopin, A. & Mamassian, P. (2010). Task usefulness affects perception of rivalrous images. Psychological Science, 21(12), 1886-1893. doi:10.1177/0956797610389190

Léger, A., Moore, B. & Lorenzi, C. (2012). Temporal and spectral masking release in low- and mid-frequency regions for normal-hearing and hearing-impaired listeners. The Journal of the Acoustical Society of America, 131(2), 1502-14. doi:10.1121/1.3665993

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