Publications

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

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

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

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

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

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

Osses , A. & Varnet, L. (2023). Using auditory models to mimic human listeners in reverse correlation experiments from the fastACI toolbox. In , Turin, Italy.

Millet, J., Caucheteux, C. , Boubenec, Y., Gramfort, A., Dunbar, E., Pallier, C. & King, J. (2022). Toward a realistic model of speech processing in the brain with self-supervised learning. , Vol. 35: In 36th Conference on Neural Information Processing Systems, 33428-33443.

Caucheteux, C. , Gramfort, A. & King, J. (2021). Disentangling syntax and semantics in the brain with deep networks. , Vol. 139: In International Conference on Machine Learning, PMLR, 1336-1348.

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Thoret, E., Andrillon, T., Gauriau, C., Léger, D. & Pressnitzer, D. (2020). Sleep deprivation impacts speech spectro-temporal modulations. In e-FA2020 (e- Forum Acusticum 2020 ), Lyon, France.

Erdmann, A. , Joseph Wrisley, D., Allen, B. , Brown, C. , Cohen-Bodenes, S., Elsner, M. , Feng, Y. , D Joseph, B. , Joyeux-Prunel, B. & de Marneffe, M. (2019). Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities. In Proceedings of the 2019 Conference of the North, 2223-2234. doi:10.18653/v1/N19-1231

Zuk, N. , Di Liberto, G. & Lalor, E. (2019). Linear-nonlinear Bernoulli modeling for quantifying temporal coding of phonemes in brain responses to continuous speech. In 2019 Conference on Cognitive Computational Neuroscience, Berlin, Germany.

Imbert, M. (2020). La fin du regard éclairant. Une révolution dans les sciences de la vision au XIè siècle, Ibn al-Haytham.

Le Coënt, A., Fribourg, L., Vacher, J. & Wisniewski, R. (2020). Probabilistic reachability and control synthesis for stochastic switched systems using the tamed Euler method. Nonlinear Analysis: Hybrid Systems, 36, 100860Elsevier. doi:10.1016/j.nahs.2020.100860

Vacher, J. , Davila, A., Kohn, A. & Coen-Cagli, R. (2020). Texture Interpolation for Probing Visual Perception. Advances in Neural Information Processing Systems (Spotlight – top 5%)

Wong, D., Di Liberto, G. & de Cheveigné, A. (2019). Accurate Modeling of Brain Responses to Speech. bioRxiv. doi:10.1101/509307

Mamassian, P. & Coen-Cagli, R. (2018). An Ideal Observer Model to Probe Human Visual Segmentation of Natural Images. arXiv

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

David, S., Malaval, N. & Shamma, S. (). Decoupling action potential bias from cortical local field potentials. Computational intelligence and neuroscience. doi:10.1155/2010/393019