Publications

Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.

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

Cristia, A. (2010). Phonetic enhancement of sibilants in infant-directed speech. The Journal of the Acoustical Society of America, 128(1), 424-34. doi:10.1121/1.3436529

Oster, A. & Gutkin, B. (2011). A reduced model of DA neuronal dynamics that displays quiescence, tonic firing and bursting. Journal of Physiology Paris, 105, 53-58. doi:10.1016/j.jphysparis.2011.07.012

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

Minagawa-Kawai, Y., Cristia, A., Vendelin, I., Cabrol, D. & Dupoux, E. (2011). Assessing signal-driven mechanisms in neonates: Brain responses to temporally and spectrally different sounds. Frontiers in Language Sciences, 2, 135. doi:10.3389/fpsyg.2011.00135

Minagawa-Kawai, Y., Cristia, A. & Dupoux, E. (2011). Cerebral lateralization and early speech acquisition: A developmental scenario. Developmental Cognitive Neuroscience, 1(3), 217-232. doi:10.1016/j.dcn.2011.03.005

Keramati, M. & Gutkin, B. (2011). A Reinforcement Learning Theory for Homeostatic Regulation. NIPS, .

Jedlicka, P., Deller, T., Gutkin, B. & Backus, K. (2011). Activity-dependent intracellular chloride accumulation and diffusion controls GABA(A) receptor-mediated synaptic transmission. Hippocampus, 21(8), 885-98. doi:10.1002/hipo.20804

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

Cristia, A. (2011). Fine-grained variation in caregivers' /s/ predicts their infants' /s/ category. The Journal of the Acoustical Society of America, 129(5), 3271-3280. doi:10.1121/1.3562562

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

Seidl, A. & Cristia, A. (2012). Infants' learning of phonological status. Frontiers in Psychology, 3, 448. doi:10.3389/fpsyg.2012.00448

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

Dipoppa, M., Krupa, M., Torcini, A. & Gutkin, B. (2012). Marginally Stable States and Quasi-periodic minor attractors in excitable pulse-coupled networks. SIADS , 63(1), 62-97

Cristia, A., Seidl, A., Vaughn, C., Schmale, R., Bradlow, A. & Floccia, C. (2012). Linguistic processing of accented speech across the lifespan. Frontiers in Cognition, 3, 479. doi:10.3389/fpsyg.2012.00479

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

Tolu, S., Eddine, R., Marti, F., David, V., Graupner, M., Pons, S., Baudonnat, M., Husson, M., Besson, M., Reperant, C., Zemdegs, J., Pagès, C., Hay, Y., Lambolez, B., Caboche, J., Gutkin, B., Gardier, A., Changeux, J., Faure, P. & Maskos, U. (2013). Co-activation of VTA da and GABA neurons mediates nicotine reinforcement. Molecular Psychiatry, 18(3), 382-393. doi:10.1038/mp.2012.83

Minagawa-Kawai, Y., Cristia, A., Long, B., Vendelin, I., Hakuno, Y., Dutat, M., Filippin, L., Cabrol, D. & Dupoux, E. (2013). Insights on NIRS sensitivity from a cross-linguistic study on the emergence of phonological grammar. Frontiers in Language Sciences, 4, 170. doi:10.3389/fpsyg.2013.00170

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

Fontolan, L., Krupa, M., Hyafil, A. & Gutkin, B. (2013). Analytical insights on theta-gamma coupled neural oscillators. Journal of Mathematical Neuroscience, 3(1), 1-20. doi:10.1186/2190-8567-3-16

Dipoppa, M. & Gutkin, B. (2013). Flexible frequency control of cortical oscillations enables computations required for working memory. Proceedings of the National Academy of Sciences of the United States of America, 110(31), 12828-12833. doi:10.1073/pnas.1303270110

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

Cristia, A., Dupoux, E., Hakuna, Y., Lloyd-Fox, S., Schuetze, M., Kivits, J., Bergvelt, T., Van Gelder, M., Filippin, L., Charron, S. & Minagawa-Kawai, Y. (2013). An online database of infant functional Near InfraRed Spectroscopy studies: A community-augmented systematic review. PLoS One, 8(3), e58906. doi:10.1371/journal.pone.0058906

Caze, R., Humphries, M. & Gutkin, B. (2013). Modulation of computational capacity of neurons due to dendritic synaptic interactions. PLoS Comput. Biol., 9(2)

Tsuji, S., Bergmann, C. & Cristia, A. (2014). Community-Augmented Meta-Analyses: Toward Cumulative Data Assessment. Perspectives on psychological science : a journal of the Association for Psychological Science, 9(6), 661-655. doi:10.1177/1745691614552498

Tsuji, S. & Cristia, A. (2014). Perceptual attunement in vowels: a meta-analysis. Developmental Psychobiology, 56(2), 179-191. doi:10.1002/dev.21179

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

Krupa, M., Gielen, S. & Gutkin, B. (2014). Intrinsic and synaptic mechanisms for clustered cortical gamma. J Comput. Neurosci , 37(2), 357-76

Keramati, M. & Gutkin, B. (2014). Homeostatic reinforcement learning for integrating reward collection and physiological stability. eLife, 3. doi:10.7554/eLife.04811