Publications

Havron, N., Babineau, M., Fiévet, A., de Carvalho, A. & Christophe, A. (2019). Young Children Build Syntactic Predictions During Language Processing and Use Them to Learn Novel-Word Meanings. In The 44th Annual Boston University Conference on Language Development, Boston, USA.

Bernard, M., Thiollière, R., Saksida, A., Loukatou, G., Larsen, E., Johnson, M., Fibla, L., Dupoux, E., Daland, R., Cao, X. & Cristia, A. (2020). WordSeg: Standardizing unsupervised word form segmentation from text. Behavior research methods, 52(1), 264-278. doi:10.3758/s13428-019-01223-3

Seidl, A., Cristia, A., Baker, C. & Tincoff, R. (2015). Why the body comes first: effects of experimenter touch on infants' word finding. Developmental Science, 18(1), 155-164. doi:10.1111/desc.12182

Engelen, T., Buot, A., Grèzes, J. & Tallon-Baudry, C. (2023). Whose emotion is it? Perspective matters to understand brain-body interactions in emotions. NeuroImage, 268, 119867. doi:10.1016/j.neuroimage.2023.119867

Cristia, A., Gautheron, L. & Colleran, H. (2023). Vocal input and output among infants in a multilingual context: Evidence from long-form recordings in Vanuatu. Developmental science, e13375. doi:10.1111/desc.13375

Chevallier, C. (2021). Vivre dans un environnement risqué : quels impacts pour la psychologie ? In Claudia Senik (Eds.), Sociétés en danger (Odile Jacob ed., pp. 197 à 208). Paris: La Découverte. doi:10.3917/dec.senik.2021.01.0197

Futaisi Al, N., Zhang, Z., Cristia, A., Warlaumont, A. & Schuller, B. (2019). VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis. In 2019 International Conference on Multimodal Interaction, 205-209.

Cychosz, M. & Cristia, A. (2022). Using big data from long-form recordings to study development and optimize societal impact. Advances in child development and behavior, 62, 1-36. doi:10.1016/bs.acdb.2021.12.001

Pichon, S., De Gelder, B. & Grèzes, J. (2009). Two different faces of threat. Comparing the neural systems for recognizing fear and anger in dynamic body expressions. NeuroImage, 47(4), 1873-83. doi:10.1016/j.neuroimage.2009.03.084

Sidarus, N., Palminteri, S. & Chambon, V. (2018). Trading off the cost of conflict against expected rewards. Plos Computational Biology, 42809. doi:10.1371/journal.pcbi.1007326

Safra, L., Chevallier, C., Grèzes, J. & Baumard, N. (2020). Tracking historical changes in trustworthiness using machine learning analyses of facial cues in painting. Nature Communications, 11, 4728. doi:10.1038/s41467-020-18566-7

Semenzin, C. , Hamrick, L., Seidl, A., Kelleher, B. & Cristia, A. (2021). Towards Large-Scale Data Annotation of Audio from Wearables: Validating Zooniverse Annotations of Infant Vocalization Types. In 2021 IEEE Spoken Language Technology Workshop (SLT), Shenzhen, China: IEEE, 1079-1085. doi:10.1109/SLT48900.2021.9383511

Seidl, A., Warlaumont, A. & Cristia, A. (2019). Towards detection of canonical babbling by citizen scientists: Performance as a function of clip length. In Proceedings of Interspeech, Graz, Austria.

Schmale, R., Cristia, A. & Seidl, A. (2012). Toddlers recognize words in an unfamiliar accent after brief exposure. Developmental Science, 15(6), 732-738. doi:10.1111/j.1467-7687.2012.01175.x

Tsuji, S., Fiévet, A. & Cristia, A. (2021). Toddler word learning from contingent screens with and without human presence. Infant Behavior and Development , 63, 101553. doi:10.1016/j.infbeh.2021.101553

Jones, B. , DeBruine, L. , .., .., Chevallier, C. & (Et Al), . (2021). To which world regions does the valence–dominance model of social perception apply? Nat Hum Behav, 5, 159-169. doi:10.6084/m9.figshare.7611443.v1

Collins, T. & Jacquet, P. (2018). TMS over posterior parietal cortex disrupts trans-saccadic visual stability. Brain stimulation, 11(2), 390-399. doi:10.1016/j.brs.2017.11.019

Pichon, S., De Gelder, B. & Grèzes, J. (2012). Threat prompts defensive brain responses independently of attentional control. Cerebral cortex (New York, N.Y. : 1991), 22(2), 274-85. doi:10.1093/cercor/bhr060

Chevallier, C. (2019). Theory of mind and autism: Revisiting Baron-Cohen et al.’s Sally-Anne study. In A. Slater and P. Quinn (Eds.), Developmental Psychology: Revisiting the Classic Studies 2nd edition (pp. 148-163).Sage

Semenzin, C. , Hamrick, L., Seidl, A., Kelleher, B. & Cristia, A. (2021). Theory evaluation in the age of cumulative science. In 2021 IEEE Spoken Language Technology Workshop (SLT), Shenzhen, China, 1079-1085. doi:10.1109/SLT48900.2021.9383511

Mennella, R., Sarlo, M., Messerotti Benvenuti, S., Buodo, G., Mento, G. & Palomba, D. (2017). The two faces of avoidance: Time-frequency correlates of motivational disposition in blood phobia. Psychophysiology, 54(11), 1606-1620. doi:10.1111/psyp.12904

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

Kret, M., Denollet, J., Grèzes, J. & De Gelder, B. (2011). The role of negative affectivity and social inhibition in perceiving social threat: an fMRI study. Neuropsychologia, 49(5), 1187-1193. doi:10.1016/j.neuropsychologia.2011.02.007

Domenech, P., Redouté, J., Koechlin, E. & Dreher, J. (2018). The Neuro-Computational Architecture of Value-Based Selection in the Human Brain. Cerebral cortex (New York, N.Y. : 1991), 28(2), 585-601. doi:10.1093/cercor/bhw396

Dezecache, G., Grèzes, J. & Dahl, C. (2017). The nature and distribution of affiliative behaviour during exposure to mild threat. Royal Society open science, 4(8), 170265. doi:10.1098/rsos.170265

Tsuji, S., Fikkert, P., Minagawa-Kawai, Y., Dupoux, E., Filippin, L., Versteegh, M., Hagoort, P. & Cristia, A. (2017). The more, the better? Behavioral and neural correlates of frequent and infrequent vowel exposure. Developmental Psychobiology, 59(5), 603-612. doi:10.1002/dev.21534

Schuller, B., Batliner, A., Bergler, C., Pokorny, F., Krajewski, J., Cychosz, M., Vollmann, R., Roelen, S., Schnieder, S., Bergelson, E. & Cristia, A. (2019). The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. In Proceedings of Interspeech, Graz, Austria.

Palminteri, S., Wyart, V. & Koechlin, E. (2017). The Importance of Falsification in Computational Cognitive Modeling. Trends in Cognitive Sciences, 21(6), 425-433. doi:10.1016/j.tics.2017.03.011

Cristia, A. & Seidl, A. (2014). The hyperarticulation hypothesis of infant-directed speech. Journal of Child Language, 41(4), 913-934. doi:10.1017/S0305000912000669

Patron, E., Mennella, R., Messerotti Benvenuti, S. & Thayer, J. (2019). The frontal cortex is a heart-brake: Reduction in delta oscillations is associated with heart rate deceleration. NeuroImage, 188, 403-410. doi:10.1016/j.neuroimage.2018.12.035