Publications

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

Tuckwell, H., Jost, J. & Gutkin, B. (2009). Inhibition and modulation of rhythmic neuronal spiking by noise. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 80(3). doi:10.1103/PhysRevE.80.031907

Vandam, M., Warlaumont, A., Bergelson, E., Cristia, A., Soderstrom, M., De Palma, P. & Macwhinney, B. (2016). HomeBank: An Online Repository of Daylong Child-Centered Audio Recordings. Seminars in Speech and Language, 37(2), 128-142. doi:10.1055/s-0036-1580745

Versteegh, M., Kuhn, J., Synnaeve, G., Ravaux, L., Chemla, E., Cäsar, C., Fuller, J., Murphy, D., Schel, A. & Dunbar, E. (2016). Classification and automatic transcription of primate calls. The Journal of the Acoustical Society of America, 140(1), EL26. doi:10.1121/1.4954887

Vinckier, F., Rigoux, L., Kurniawan, I., Bourgeois-Gironde, S., Daunizeau, J., Pessiglione, M., Chen, H. & Gershman, S. (2019). Sour grapes and sweet victories: How actions shape preferences. PLOS Computational Biology, 15(1). doi:10.1371/journal.pcbi.1006499

Volk, D., Dubinin, I., Gutkin, B., Myasnikova, A. & Nikulin, V. (2018). Cross-Frequency Synchrony Analysis. Frontiers in Neuroinformatics , 12, 72. doi:10.3389/fninf.2018.00072

Wang, Y., Seidl, A. & Cristia, A. (2021). Infant speech perception and cognitive skills as predictors of later vocabulary Author links open overlay panel. Infant Behavior and Development, 62, 101524. doi:10.1016/j.infbeh.2020.101524

Wang, Y., Seidl, A. & Cristia, A. (2015). Acoustic-phonetic differences between infant- and adult-directed speech: the role of stress and utterance position. Journal of child language, 42(4), 821-842. doi:10.1017/S0305000914000439

Weiss, A., Chambon, V., Drugowitsch, J. & Wyart, V. (2021). Interacting with volatile environments stabilizes hidden-state inference and its brain signatures. Nature Communications, 12, 2228. doi:10.1038/s41467-021-22396-6

Wu, J., Gao, M., Shen, J., Shi, W., Oster, A. & Gutkin, B. (2013). Cortical control of VTA function and influence on nicotine reward. Biochemical Pharmacology, 86(8), 1173-1180. doi:10.1016/j.bcp.2013.07.013

Zakharov, D., Krupa, M., Gutkin, B. & Kuznetsov, A. (2018). High-frequency forced oscillations in neuronlike elements. Physical Review E , 97(6). doi:10.1103/PhysRevE.97.062211

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

Zamani, A. , Novikov, N. & Gutkin, B. (2020). Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit. Communications in Nonlinear Science and Numerical Simulation, 82, 105024. doi:10.1016/j.cnsns.2019.105024

Zeldenrust, F., De Knecht, S., Wadman, W., Denève, S. & Gutkin, B. (2017). Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in computational neuroscience, 11, 49. doi:10.3389/fncom.2017.00049

Zhang, D., Gao, M., Xu, D., Shi, W., Gutkin, B., Steffensen, S., Lukas, R. & Wu, J. (2012). Impact of prefrontal cortex in nicotine-induced excitation of ventral tegmental area dopamine neurons in anesthetized rats. Journal of Neuroscience, 32(36), 12366-12375. doi:10.1523/JNEUROSCI.5411-11.2012