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

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

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

Gutkin, B., Jost, J. & Tuckwell, H. (2008). Transient termination of spiking by noise in coupled neurons. EPL, 81(2). doi:10.1209/0295-5075/81/20005

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

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

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.

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

Havron, N., Ramus, F., Heude, B., Forhan, A., Cristia, A. & Peyre, H. (2019). The effect of siblings on language development as a function of age difference and sex. Psychological Science, 30(9), 1333-1343. doi:10.31234/osf.io/fgpmd

Danielson, D., Seidl, A., Onishi, K., Alamian, G. & Cristia, A. (2014). The acoustic properties of bilingual infant-directed speech. The Journal of the Acoustical Society of America, 135(2), EL95-101. doi:10.1121/1.4862881

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

Zakharov, D., Lapish, C., Gutkin, B. & Kuznetsov, A. (2016). Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers in computational neuroscience, 10, 48. doi:10.3389/fncom.2016.00048

Jeong, H. & Gutkin, B. (2007). Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. Neural Computation, 19(3), 706-729. doi:10.1162/neco.2007.19.3.706

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

Havron, N. & Arnon, I. (2020). Starting Big: The Effect of Unit Size on Language Learning in Children and Adults. Journal of Child Language. doi:10.31234/osf.io/pj7tg

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792

Muller, L., Brette, R. & Gutkin, B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in Computational Neuroscience, 15(5), 45. doi:10.3389/fncom.2011.00045

Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B. & Giraud, A. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, 1-45. doi:10.7554/eLife.06213

Jacquot, A., Eskenazi, T., Sales{-}wuillemin, E., Montalan, B., Proust, J., Grèzes, J. & Conty, L. (2015). Source Unreliability Decreases but Does Not Cancel the Impact of Social Information on Metacognitive Evaluations . Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.01385

Piot, L. , Havron, N. & Cristia, A. (2021). Socioeconomic status correlates with measures of Language Environment Analysis (LENA) system: A meta-analysis. . Journal of Child Language, 1-15. doi:10.1017/S0305000921000441[Opens in a new window]

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Signatures of task learning in neural representations, Current Opinion in Neurobiology,, 83, 102759. doi:10.1016/j.conb.2023.102759

Gurnani, H. & Cayco Gajic, A. (2023). Signatures of task learning in neural representations. Current opinion in neurobiology, 83, 102759. doi:10.1016/j.conb.2023.102759

Chalk, M., Masset, P., Denève, S. & Gutkin, B. (2017). Sensory noise predicts divisive reshaping of receptive fields. PLoS computational biology, 13(6), e1005582. doi:10.1371/journal.pcbi.1005582