Publications

Balsdon, T. & Clifford, C. (2018). How wide is the cone of direct gaze? Royal Society open science, 5(8), 180249. doi:10.1098/rsos.180249

Balsdon, T., Summersby, S., Kemp, R. & White, D. (2018). Improving face identification with specialist teams. Cognitive research: principles and implications, 3, 25. doi:10.1186/s41235-018-0114-7

Balsdon, T. & Clifford, C. (2018). Visual processing: conscious until proven otherwise. Royal Society open science, 5(1), 171783. doi:10.1098/rsos.171783

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

Recht, S. , Mamassian, P. & de Gardelle, V. (2018). When temporal attention lacks confidence. bioRxiv, 496232

Hansmann-Roth, S., Pont, S. & Mamassian, P. (2018). Contextual effects in human gloss perception. Electronic Imaging(14), 1-7

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

Balsdon, T., Summersby, S., Kemp, R. & White, D. (2018). Improving face identification with specialist teams. Cognitive Research: Principles and Implications, 3(1), 25. doi:10.1186/s41235-018-0114-7

Schweitzer, R. , Watson, T. , Balsdon, T. & Rolfs, M. (2018). From retinal to world-centered perception of intra-saccadic motion streaks: Evidence for high-fidelity eye position information during saccades. , 18(10), 1285

Balsdon, T., Schweitzer, R. , Watson, T. & Rolfs, M. (2018). All is not lost: Post-saccadic contributions to the perceptual omission of intra-saccadic streaks. Consciousness and Cognition , 64, 19-31. doi:10.1016/j.concog.2018.05.004

Balsdon, T. & Clifford, C. (2018). How wide is the cone of direct gaze? Royal Society open science 6, 5(8), 180249

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

Balsdon, T. & Clifford, C. (2018). Visual processing: conscious until proven otherwise. , 5(1). doi:10.1098/rsos.171783

Lefebvre, G., Nioche, A., Bourgeois-Gironde, S. & Palminteri, S. (2018). Contrasting temporal difference and opportunity cost reinforcement learning in an empirical money-emergence paradigm. PNAS, 115(49), E11446-E11454. doi:10.1073/pnas.1813197115

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

Ondel, L., Godard, P., Besacier, L., Larsen, E., Hasegawa-Johnson, M., Scharenborg, O., Dupoux, E., Burget, L., Yvon, F. & Khudanpur, S. (2018). Bayesian Models For Unit Discovery On a Very Low Resource Language. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Thual, A., Dancette, C., Karadayi, J., Benjumea, J. & Dupoux, E. (2018). A K-nearest neighbours approach to unsupervised spoken term discovery. In EEE Spoken Language Technology SLT-2018.

Holzenberger, N., Du, M., Karadayi, J., Riad, R. & Dupoux, E. (2018). Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments. In Interspeech 2018. doi:10.21437/Interspeech.2018-2364

Guevara Rukoz, A., Cristia, A., Ludusan, B., Thiollière, R., Martin, A., Mazuka, R. & Dupoux, E. (2018). Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation. Cognitive Science, 42(5), 1586 - 1617. doi:10.1111/cogs.12616

Schatz, T., Bach, F. & Dupoux, E. (2018). Evaluating automatic speech recognition systems as quantitative models of cross-lingual phonetic category perception. The Journal of the Acoustical Society of America, 143(5), EL372. doi:10.1121/1.5037615

Riad, R., Dancette, C., Karadayi, J., Zeghidour, N., Schatz, T. & Dupoux, E. (2018). Sampling strategies in Siamese Networks for unsupervised speech representation learning. In Interspeech 2018.

Zeghidour, N., Usunier, N., Synnaeve, G., Collobert, R. & Dupoux, E. (2018). End-to-End Speech Recognition From the Raw Waveform. In Interspeech 2018. doi:10.21437/Interspeech.2018-2414

Cao, X., Dakhlia, C., Del Carmen, P., Jaouani, M., Ould-Arbi, M. & Dupoux, E. (2018). Baby Cloud, a technological platform for parents and researchers. In LREC 2018 - 11th edition of the Language Resources and Evaluation Conference.

Zeghidour, N., Usunier, N., Kokkinos, I., Schatz, T., Synnaeve, G. & Dupoux, E. (2018). Learning Filterbanks from Raw Speech for Phoneme Recognition. In ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing.

Défossez, A., Zeghidour, N., Usunier, N., Bottou, L. & Bach, F. (2018). SING: Symbol-to-Instrument Neural Generator. In Conference on Neural Information Processing Systems (NIPS), Dec 2018, Montréal, Canada.

Ponsot, E., Burred, J., Belin, P. & Aucouturier, J. (2018). Reply to Knight et al.: The complexity of inferences from speech prosody should be addressed using data-driven approaches. Proceedings of the National Academy of Sciences of the United States of America, 115(27), E6104-E6105. doi:10.1073/pnas.1806857115

Binda, P., Kurzawski, J., Lunghi, C., Biagi, L., Tosetti, M. & Morrone, M. (2018). Response to short-term deprivation of the human adult visual cortex measured with 7T BOLD. eLife, 7. doi:10.7554/eLife.40014

Beyer, F., Sidarus, N., Fleming, S. & Haggard, P. (2018). Losing Control in Social Situations: How the Presence of Others Affects Neural Processes Related to Sense of Agency. eNeuro, 5(1), ENEURO.0336-17.2018. doi:10.1523/ENEURO.0336-17.2018

Ponsot, E., Arias, P. & Aucouturier, J. (2018). Uncovering mental representations of smiled speech using reverse correlation. The Journal of the Acoustical Society of America, 143(1), EL19. doi:10.1121/1.5020989

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