Publications

Boubenec, Y., Shulz, D. & Debrégeas, G. (2012). Whisker encoding of mechanical events during active tactile exploration. Frontiers in Behavioral Neuroscience, 6:74, 1-16. doi:10.3389/fnbeh.2012.00074

Cabrera, L., Tsao, F., Liu, H., Li, L., Hu, Y., Lorenzi, C. & Bertoncini, J. (2015). The perception of speech modulation cues in lexical tones is guided by early language-specific experience. Frontiers in psychology, 6, 1290. doi:10.3389/fpsyg.2015.01290

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

Wexler, M., Duyck, M. & Mamassian, P. (2015). Persistent states in vision break universality and time invariance. Proceedings of the National Academy of Sciences of the United States of America, 112(48), 14990-14995. doi:10.1073/pnas.1508847112

Adams, W. & Mamassian, P. (2002). Common mechanisms for 2D tilt and 3D slant after-effects. Vision Research, 42(23), 2563-2568. doi:10.1016/S0042-6989(02)00269-9

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

Mamassian, P., Knill, D. & Kersten, D. (1998). The perception of cast shadows. Trends in Cognitive Sciences, 2(8), 288-295. doi:10.1016/S1364-6613(98)01204-2

Knill, D., Mamassian, P. & Kersten, D. (1997). Geometry of shadows. Journal of the Optical Society of America a-Optics Image Science and Vision, 14(12), 3216-3232. doi:10.1364/JOSAA.14.003216

Kersten, D., Mamassian, P. & Knill, D. (1997). Moving cast shadows induce apparent motion in depth. Perception, 26(2), 171-192. doi:10.1068/p260171

Mamassian, P. (1997). Prehension of objects oriented in three-dimensional space. Experimental Brain Research, 114(2), 235-245. doi:10.1007/PL00005632

Mamassian, P., Kersten, D. & Knill, D. (1996). Categorical local-shape perception. Perception, 25(1), 95-107. doi:10.1068/p250095

Kersten, D., Knill, D., Mamassian, P. & Bülthoff, I. (1996). Illusory motion from shadows. Nature, 379(6560), 31. doi:10.1038/379031a0

Schütz, A. & Mamassian, P. (2016). Early, local motion signals generate directional preferences in depth ordering of transparent motion. Journal of vision, 16(10), 24. doi:10.1167/16.10.24

Barthelmé, S. & Mamassian, P. (2009). Evaluation of objective uncertainty in the visual system. PLoS Computational Biology, 5(9), e1000504. doi:10.1371/journal.pcbi.1000504

Mamassian, P. & Kersten, D. (1996). Illumination, shading and the perception of local orientation. Vision Research, 36(15), 2351-2367. doi:10.1016/0042-6989(95)00286-3

Shamma, S., Elhilali, M., Ma, L., Micheyl, C., Oxenham, A., Pressnitzer, D., Yin, P. & Xu, Y. (2013). Temporal coherence and the streaming of complex sounds. Advances in experimental medicine and biology, 787, 535-43. doi:10.1007/978-1-4614-1590-9_59

Suied, C., Agus, T., Thorpe, S. & Pressnitzer, D. (2013). Processing of short auditory stimuli: the rapid audio sequential presentation paradigm (RASP). Advances in experimental medicine and biology, 787, 443-51. doi:10.1007/978-1-4614-1590-9_49

Englitz, B., Akram, S., David, S., Chambers, C., Pressnitzer, D., Depireux, D., Fritz, J. & Shamma, S. (2013). Putting the tritone paradox into context: insights from neural population decoding and human psychophysics. Advances in experimental medicine and biology, 787, 157-64. doi:10.1007/978-1-4614-1590-9_18

Boubenec, Y., Lawlor, J., Shamma, S. & Englitz, B. (2016). Change Detection in Auditory Textures. Advances in experimental medicine and biology, 894, 229-239. doi:10.1007/978-3-319-25474-6_24

Mamassian, P. & Vemuri, B. (1993). ISOPHOTES ON A SMOOTH SURFACE RELATED TO SCENE GEOMETRY. , Vol. 2031: In Geometric Methods in Computer Vision II, 124-133. doi:10.1117/12.146619

Mamassian, P., Landy, M., Maloney, L., Rao, R., Olshausen, B. & Lewicki, M. (2002). Bayesian modelling of visual perception. In R. Rao, B. Olshausen & M. Lewicki (Eds.), Probabilistic Models of the Brain: Perception and Neural Function (pp. 13-36). Cambridge, MA: MIT Press

Lorenzi, C. (2023). Human auditory ecology: Extending hearing research to the perception of natural soundscapes by humans. J. Acoust. Soc. Am., 154(A70 ). doi:10.1121/10.0022829

Gwilliams, L., Flick, G., Marantz, A. , Pylkkänen, L., Poeppel, D. & King, J. (2023). Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Scientific data, 10(1), 862. doi:10.1038/s41597-023-02752-5

Lorenzi, C., Apoux, F., Grinfeder, E., Krause, B. , Miller-Viacava, N. & Sueur, J. (2023). Human Auditory Ecology: Extending Hearing Research to the Perception of Natural Soundscapes by Humans in Rapidly Changing Environments. Trends in hearing, . doi:10.1177/23312165231212032

K Chillale, R., Shamma, S., Ostojic, S. & Boubenec, Y. (2023). Dynamics and maintenance of categorical responses in primary auditory cortex during task engagement. eLife, 12(e85706). doi:10.7554/eLife.85706

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2024). Sleep deprivation detected by voice analysis. PLoS computational biology, 20(2), e1011849. doi:10.1371/journal.pcbi.1011849

Thoret, E., Andrillon, T., Léger, D. & Pressnitzer, D. (2021). Probing machine-learning classifiers using noise, bubbles, and reverse correlation. Journal of Neuroscience Methods, 362, 109297. doi:10.1016/j.jneumeth.2021.109297

Desbordes, T., King, J. & Dehaene, S. (2024). Tracking the neural codes for words and phrases during semantic composition, working-memory storage, and retrieval. Cell reports, 43(3), 113847. doi:10.1016/j.celrep.2024.113847