Publications

Ludusan, B. & Dupoux, E. (2016). The role of prosodic boundaries in word discovery: Evidence from a computational model. Journal of the Acoustical Society of America, 140(1), EL1

Ludusan, B. & Dupoux, E. (2016). Automatic syllable segmentation using broad phonetic class information. , Vol. 81: In SLTU-2016 Procedia Computer Science, 101-106.

Ludusan, B., Seidl, A., Dupoux, E. & Cristia, A. (2015). Motif discovery in infant- and adult-directed speech. In Proceedings of CogACLL2015, 93-102. doi:10.18653/v1/W15-2413

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

Ludusan, B. & Dupoux, E. (2014). Towards Low Resource Prosodic Boundary Detection. In Proceedings of International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU'14), 231-237.

Ludusan, B., Gravier, G. & Dupoux, E. (2014). Incorporating Prosodic Boundaries in Unsupervised Term Discovery. , Vol. 7: In Proceedings of Speech Prosody, 939-943.

Ludusan, B., Synnaeve, G. & Dupoux, E. (2015). Prosodic boundary information helps unsupervised word segmentation. In NAACL HLT 2015, 953-963. doi:10.3115/v1/N15-1096

Ludusan, B., Mazuka, R., Bernard, M., Cristia, A. & Dupoux, E. (2017). The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective. , Vol. 2: In ACL 2017, 178-183. doi:10.18653/v1/P17-2028

Ludusan, B., Cristia, A., Martin, A., Mazuka, R. & Dupoux, E. (2016). Learnability of prosodic boundaries: Is infant-directed speech easier? Journal of the Acoustical Society of America, 140(2), 1239-1250. doi:10.1121/1.4960576

Ludusan, B., Caranica, A., Cucu, H., Buzo, A., Burileanu, C. & Dupoux, E. (2015 ). Exploring multi-language resources for unsupervised spoken term discovery. In Speech Technology and Human-Computer Dialogue (SpeD), 2015 International Conference on, 1-6.

Ludusan, B., Versteegh, M., Jansen, A., Gravier, G., Cao, X., Johnson, M. & Dupoux, E. (2014 ). Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems. In Proceedings of LREC 2014, 560-567.

Ludusan, B., Origlia, A. & Dupoux, E. (2015 ). Rhythm-Based Syllabic Stress Learning without Labelled Data. In Proceedings of Statistical Language and Speech Processing -SLSP 2015, 185-196.

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2021). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. Advances in Intelligent Systems and Computing (Vol. 1252, pp. 241-255). doi:10.1007/978-3-030-55190-2_19

Lussange, J., Lazarevich, I. , Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2020). Modelling Stock Markets by Multi-agent Reinforcement Learning. Computational Economics, 57, 113-147. doi:10.1007/s10614-020-10038-w

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2017). A bright future for financial agent-based models. arXiv preprint arXiv:1801.08222

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

Maex, R., Budygin, E., Grinevich, V., Bencherif, M. & Gutkin, B. (2014). Receptor activation and desensitization as mechanisms for a7 regulation of dopamine response to nicotine. Chemical Neuroscience , 15(10), 1032-40. doi:10.1021/cn500126t

Maex, R. & Gutkin, B. (2017). Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons. Journal of neurophysiology, 118(1), 471-485. doi:10.1152/jn.00789.2016

Maravall, M., Ostojic, S., Pressnitzer, D. & Chait, M. (2018). More than the Sum of its Parts: Perception and Neuronal Underpinnings of Sequence Processing. Neuroscience, in press. doi:10.1016/j.neuroscience.2018.07.043

Martin, A., Versteegh, M., Miyazawa, K., Mazuka, R., Dupoux, E. & Cristia, A. (2015). Mothers speak less clearly to infants: A comprehensive test of the hyperarticulation hypothesis. Psychological Science, 26(3), 341-347. doi:10.1177/0956797614562453

Martin, A., Peperkamp, S. & Dupoux, E. (2013). Learning phonemes with a proto-lexicon. Cognitive science, 37(1), 103-24. doi:10.1111/j.1551-6709.2012.01267.x

Martinez-Saito, M. , Konovalov, R. , Piradov, M. , Shestakova, A. , Gutkin, B. & Klucharev, V. (2018). Action in auctions: neural and computational mechanisms of bidding behavior. BioRxiv, 464925. doi:10.1101/464925

Mastrogiuseppe, F. & Ostojic, S. (2019). A geometrical description of global dynamics in trained feedback networks. Neural Computation, 31(6), 1139-1182. doi:10.1162/neco_a_01187

Mastrogiuseppe, F. & Ostojic, S. (2017). Intrinsically-generated fluctuating activity in excitatory-inhibitory networks. PLoS computational biology, 13(4), e1005498. doi:10.1371/journal.pcbi.1005498

Mastrogiuseppe, F. & Ostojic, S. (2018). Linking connectivity, dynamics and computations in recurrent neural networks. Neuron, 99(3), 609-623. doi:DOI:https://doi.org/10.1016/j.neuron.2018.07.003

Mazuka, R., Cao, Y., Dupoux, E. & Christophe, A. (2011 ). The development of a phonological illusion: a cross-linguistic study with Japanese and French infants. Developmental science, 14(4), 693-9. doi:10.1111/j.1467-7687.2010.01015.x

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

Mehler, J. & Dupoux, E. (1990). Naître Humain. Paris: Odile Jacob. Translated and published in English (Blackwell), Chineese (Yuan-Liou Publishers), Greek (Alexiandria) Italian, (Mondadori), Japanese, (Fujiwara-Shoten), Portuguese (Piaget), & Spanish (Alianza)

Mehler, J., Dupoux, E., Pallier, C. & Dehaene-Lambertz, G. (1994). Cross-linguistic approaches to speech processing. Current Opinion in Neurobiology, 4(2), 171-176

Mehler, J., Bertoncini, J., Dupoux, E. & Pallier, C. (1994). The role of suprasegmental in speech perception and acquisition. Dokkyo International Review, 7, 343-376