Publications

Kinzler, K., Dupoux, E. & Spelke, E. (2012). "Native" objects and collaborators: Infants' object choices and acts of giving reflect favor for native over foreign speakers. Journal of Cognition and Development, 13(1), 1-15

Ngon, C., Martin, A., Dupoux, E., Cabrol, D., Dutat, M. & Peperkamp, S. (2013). (Non)words, (non)words, (non)words: evidence for a protolexicon during the first year of life. Developmental science, 16(1), 24-34. doi:10.1111/j.1467-7687.2012.01189.x

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2018). A bright future for financial agent-based models. arxiv, nc

Fourtassi, A. & Dupoux, E. (2013). A corpus-based evaluation method for Distributional Semantic Models. In Proceedings of {ACL-SRW 2013, 165-171.

Zeghidour, N., Synnaeve, G., Versteegh, M. & Dupoux, E. (2016 ). A Deep Scattering Spectrum - Deep Siamese Network Pipeline For Unsupervised Acoustic Modeling. In ICASSP-2016, 4965-4969.

Dupoux, E., Pallier, C., Sebastian, N. & Mehler, J. (1997). A destressing "deafness" in French? Journal of Memory and Language, 36(3), 406-421

Dumont, G., Pérez-Cervera, A. & Gutkin, B. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. Plos Computational Biology. doi:10.1371/journal.pcbi.1010363

Kouider, S. & Dupoux, E. (2001). A functional disconnection between spoken and visual word recognition: evidence from unconscious priming. Cognition, 82(1), B35-B49

Thiollière, R., Dunbar, E., Synnaeve, G., Versteegh, M. & Dupoux, E. (2015 ). A Hybrid Dynamic Time Warping-Deep Neural Network Architecture for Unsupervised Acoustic Modeling. In INTERSPEECH-2015, 3179-3183.

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.

Ludusan, B. & Dupoux, E. (2015). A multilingual study on intensity as a cue for marking prosodic boundaries. In ICPhS, e982.

Gutkin, B., Dehaene, S. & Changeux, J. (2006). A neurocomputational hypothesis for nicotine addiction. Proceedings of the National Academy of Sciences of the United States of America, 103(4), 1106-1111. doi:10.1073/pnas.0510220103

Ogawa, T., Mallidi, S. , Dupoux, E., Cohen, J., Feldman, N. & Hermansky, H. (2016). A new efficient measure for accuracy prediction and its application to multistream-based unsupervised adaptation. In ICPR.

Buon, M., Jacob, P., Loissel, E. & Dupoux, E. (2013). A non-mentalistic cause-based heuristic in human social evaluations. Cognition, 126(2), 149-155

Perani, D., Dehaene, S., Grassi, F., Cohen, L., Cappa, S., Paulesu, E., Dupoux, E., Fazio, F. & Mehler, J. (1996). A PET study of native and foreign language processing. Brain and Language, 55(1), 99-101

Schatz, T., Turnbull, R., Bach, F. & Dupoux, E. (2017). A Quantitative Measure of the Impact of Coarticulation on Phone Discriminability. In INTERSPEECH-2017.

Oster, A. & Gutkin, B. (2011). A reduced model of DA neuronal dynamics that displays quiescence, tonic firing and bursting. Journal of Physiology Paris, 105, 53-58. doi:10.1016/j.jphysparis.2011.07.012

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Dupoux, E., Peperkamp, S. & Sebastián-Gallés, N. (2001). A robust method to study stress "deafness" Journal of the Acoustical Society of America, 110(3), 1606-1618

Fourtassi, A. & Dupoux, E. (2014). A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition. In Proceedings of the 18th Conference on Computational Natural Language Learning (CoNLL), Association for Computational Linguistics, 191-200. doi:10.3115/v1/W14-1620

Dumont, G., Payeur , A. & Longtin , A. (2017). A stochastic-field description of finite-size spiking neural networks. PLoS Comput Biol, 13(8), e1005691. doi:10.1371/journal.pcbi.1005691

Jansen, A., Dupoux, E., Goldwater, S., Johnson, M., Khudanpur, S., Church, K., Feldman, N., Hermansky, H., Metze, F., Rose, R., Seltzer, M., Clark, P., McGraw}, I., Varadarajan, B., Bennett, E., Börschinger, B., Chiu, J., Dunbar, E., Fourtassi, A., Harwath, D., Lee, C., Levin, K., Norouzian, A., Peddinti, V., Richardson, R., Schatz, T. & Thomas, S. (2013). A summary of the 2012 {JH} {CLSP} Workshop on zero resource speech technologies and models of early language acquisition. In ICASSP-2013 (IEEE International Conference on Acoustics Speech and Signal Processing), 8111-8115. doi:10.1109/icassp.2013.6639245

Synnaeve, G. & Dupoux, E. (2016). A temporal coherence loss function for learning unsupervised acoustic embeddings. , Vol. 81: In SLTU-2016 Procedia Computer Science, 95-100.

Pérez-Cervera, A. , Gutkin, B., J Thomas, P. & Lindner, B. (2023). A universal description of stochastic oscillators. Proceedings of the National Academy of Sciences of the United States of America, 120(29), e2303222120. doi:10.1073/pnas.2303222120

Novikov, N., Zakharov, D., Moiseeva, V. & Gutkin, B. (2021). Activity Stabilization in a Population Model of Working Memory by Sinusoidal and Noisy Inputs. Front. Neural Circuits. doi:10.3389/fncir.2021.647944

Jedlicka, P., Deller, T., Gutkin, B. & Backus, K. (2011). Activity-dependent intracellular chloride accumulation and diffusion controls GABA(A) receptor-mediated synaptic transmission. Hippocampus, 21(8), 885-98. doi:10.1002/hipo.20804

Lazarevich, I. , Stasenko , S., Rozhnova , M., Pankratova , E., Dityatev, A. & et al., .. (2020). Activity-dependent switches between dynamic regimes of extracellular matrix expression. PLoS ONE, 15(1). doi:10.1371/journal.pone.0227917

Buchin, A., Kerr, C., Huberfeld, G., Miles, R. & Gutkin, B. (2018). Adaptation and Inhibition Control Pathological Synchronization in a Model of Focal Epileptic Seizure. eNeuro, 5(5), 0019-18. doi:10.1523/ENEURO.0019-18.2018

Sebastián-Gallés, N., Dupoux, E., Costa, A. & Mehler, J. (2000). Adaptation to time-compressed speech: Phonological determinants. Perception & Psychophysics, 62(4), 834-842