Publications

Dipoppa, M., Szwed, M. & Gutkin, B. (2016). Controlling Working Memory Operations by Selective Gating: The Roles of Oscillations and Synchrony. Advances in cognitive psychology, 12(4), 209-232. doi:10.5709/acp-0199-x

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139

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

Brumberg, J. & Gutkin, B. (2007). Cortical pyramidal cells as non-linear oscillators: Experiment and spike-generation theory. Brain Research, 1171(1), 122-137. doi:10.1016/j.brainres.2007.07.028

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

Remme, M., Lengyel, M. & Gutkin, B. (2010). Democracy-independence trade-off in oscillating dendrites and its implications for grid cells. Neuron, 66(3), 429-437. doi:10.1016/j.neuron.2010.04.027

Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

Semenzin, C. , Hamrick, L., Seidl, A., Kelleher, B. & Cristia, A. (2021). Describing Vocalizations in Young Children: A Big Data Approach Through Citizen Science Annotation. . doi:10.1044/2021_JSLHR-20-00661

de Vignemont, F. (2023). Désenchanter le corps.

Bergmann, C. & Cristia, A. (2016). Development of infants' segmentation of words from native speech: A meta-analytic approach. Developmental Science, 9(6), 901-917. doi:10.1111/desc.12341

Seidl, A. & Cristia, A. (2008). Developmental changes in the weighting of prosodic cues. Developmental science, 11(4), 596-606. doi:10.1111/j.1467-7687.2008.00704.x

Morozova, E., Faure, P., Gutkin, B., Lapish, C. & Kuznetsov, A. (2020). Distinct Temporal Structure of Nicotinic ACh Receptor Activation Determines Responses of VTA Neurons to Endogenous ACh and Nicotine. eNeuro, 7(4). doi:10.1523/ENEURO.0418-19.2020

Singh, L., Cristia, A., B Karasik, L., J Rajendra, S. & M Oakes, L. (2023). Diversity and representation in infant research: Barriers and bridges toward a globalized science of infant development. Infancy : the official journal of the International Society on Infant Studies, 28(4), 708-737. doi:10.1111/infa.12545

Loukatou, G., Stoll, S., Blasi, D. & Cristia, A. (2022). Does morphological complexity affect word segmentation? Evidence from computational modeling. Cognition, 220, 104960. doi:10.1016/j.cognition.2021.104960

Gruber, A., Dayan, P., Gutkin, B. & Solla, S. (2006). Dopamine modulation in the basal ganglia locks the gate to working memory. Journal of Computational Neuroscience, 20(2), 153-166. doi:10.1007/s10827-005-5705-x

Morozova, E., Zakharov, D., Gutkin, B., Lapish, C. & Kuznetsov, A. (2016). Dopamine Neurons Change the Type of Excitability in Response to Stimuli. PLoS computational biology, 12(12), e1005233. doi:10.1371/journal.pcbi.1005233

Kuznetsov, A. & Gutkin, B. (2015). Dopaminergic cell Models. The Encyclopedia of Computational Neuroscience (pp. 2958-2965).

Dumont, G., Maex, R. & Gutkin, B. (2018). Dopaminergic Neurons in the Ventral Tegmental Area and Their Dysregulation in Nicotine Addiction. In Alan Anticevic and John D. Murray (Eds.), Computational Psychiatry: Mathematical Modeling of Mental Illness (pp. 47-84). doi:10.1016/B978-0-12-809825-7.00003-1

Graupner, M. & Gutkin, B. (2012). Dynamical Approaches to understanding cholinergic control of nicotine action pathways in the dopaminergic reward circuits. Computational Neuroscience of Drug Addiction (Springer ed.).Ahmed and Gutkin (eds.)

Di Volo, M., Morozova, E., Lapish, C., Kuznetsov, A. & Gutkin, B. (2018). Dynamical ventral tegmental area circuit mechanisms of alcohol‐dependent dopamine release. European Journal of Neuroscience, Special issue article. doi:10.1111/ejn.14147

Balsa, A. , López Boo, F. , Bloomfield, J. , Cristia, A., Cid, A. , de la Paz Ferro, M. , Valdés, R. & del Luján González, M. (2021). Effect of Crianza Positiva e-messaging program on adult–child language interactions. Behavioural Public Policy, 1-37. doi:10.1017/bpp.2021.25

Cristia, A., Mcguire, G., Seidl, A. & Francis, A. (2011). Effects of the distribution of acoustic cues on infants' perception of sibilants. Journal of Phonetics, 39(3), 388-402. doi:10.1016/j.wocn.2011.02.004

Graupner, M., Maex, R. & Gutkin, B. (2013). Endogenous Cholinergic Inputs and Local Circuit Mechanisms Govern the Phasic Mesolimbic Dopamine Response to Nicotine. PLoS Computational Biology, 9(8). doi:10.1371/journal.pcbi.1003183

Delorme, C., Salvador, A., Valabrègue, R., Roze, E., Palminteri, S., Vidailhet, M., De Wit, S., Robbins, T., Hartmann, A. & Worbe, Y. (2015). Enhanced habit formation in Gilles de la Tourette syndrome. Brain, 139(2), 605-615. doi:10.1093/brain/awv307

Ko, E., Seidl, A., Cristia, A., Reimchen, M. & Soderstrom, M. (2016). Entrainment of prosody in the interaction of mothers with their young children - ERRATUM. Journal of Child Language, 43(4), 284-309. doi:10.1017/S0305000915000410

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

Tsuji, S., Mazuka, R., Cristia, A. & Fikkert, P. (2015). Even at 4 months, a labial is a good enough coronal, but not vice versa. Cognition, 134(1), 252-256. doi:10.1016/j.cognition.2014.10.009

Gutkin, B., Braun, P., Akila, M., Waltner, D. & Guhr, T. (2020). Exact local correlations in kicked chains. Phys. Rev. B, 102, 174307. doi:10.1103/PhysRevB.102.174307

de Vignemont, F. (2023). Expecting pain. , 202, 156. doi:10.1007/s11229-023-04394-x

Scaff, C., Fibla, L. & Cristia, A. (2022). Factors structuring lexical development in toddlers: The effects of parental education, language exposure, and age. . Journal of Child Language, 1-2. doi:10.1017/S0305000922000186