Publications

Wallaert, N., Moore, B. & Lorenzi, C. (2016). Comparing the effects of age on amplitude modulation and frequency modulation detection. The Journal of the Acoustical Society of America, 139(6), 3088. doi:10.1121/1.4953019

de Cheveigné, A. (2016). Sparse time artifact removal. Journal of neuroscience methods, 262, 14-20. doi:10.1016/j.jneumeth.2016.01.005

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

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

Mcdonnell, M., Iannella, N., To, M., Tuckwell, H., Jost, J., Gutkin, B. & Ward, L. (2015). A review of methods for identifying stochastic resonance in simulations of single neuron models. Network: Computation in Neural Systems, 26(2), 35-71. doi:10.3109/0954898X.2014.990064

Hyafil, A., Giraud, A., Fontolan, L. & Gutkin, B. (2015). Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. Trends in neurosciences, 38(11), 725-40. doi:10.1016/j.tins.2015.09.001

Oster, A., Faure, P. & Gutkin, B. (2015). Mechanisms for multiple activity modes of VTA dopamine neurons. Frontiers in computational neuroscience, 9, 95. doi:10.3389/fncom.2015.00095

Tran-Van-Minh, A., Caze, R., Abrahamsson, T., Cathala, L., Gutkin, B. & Digregorio, D. (2015). Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in cellular neuroscience, 9, 67. doi:10.3389/fncel.2015.00067

Gutkin, B. (2015). Theta-neurons. In Springer Verlag (Eds.), Encyclopedia of Comptutational Neuroscience (pp. 1034-1042).

Remme, M., Lengyel, M. & Gutkin, B. (2015). Trade-off between dendritic democracy and independence in neurons with intrinsic subthreshold membrane potential oscillatio. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

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

Cabrera, L., Lorenzi, C. & Bertoncini, J. (2015). Infants Discriminate Voicing and Place of Articulation With Reduced Spectral and Temporal Modulation Cues. Journal of speech, language, and hearing research : JSLHR, 58(3), 1033-42. doi:10.1044/2015_JSLHR-H-14-0121

de Cheveigné, A. & Arzounian, D. (2015). Scanning for oscillations. Journal of neural engineering, 12(6), 066020. doi:10.1088/1741-2560/12/6/066020

Cabrera, L., Tsao, F., Liu, H., Li, L., Hu, Y., Lorenzi, C. & Bertoncini, J. (2015). The perception of speech modulation cues in lexical tones is guided by early language-specific experience. Frontiers in psychology, 6, 1290. doi:10.3389/fpsyg.2015.01290

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation: a versatile tool for multichannel data analysis. NeuroImage, 98(487-505). doi:10.1016/j.neuroimage.2014.05.068

Christianson, G., Chait, M., de Cheveigné, A. & Linden, J. (2014). Auditory evoked fields measured non-invasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. J. Neurophysiol., 112, 3053-3065. doi:10.1152/jn.00189.2014

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

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

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

Remme, M., Lengyel, M. & Gutkin, B. (2014). Phase Response Methods in Dendritic Dynamics. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

Cousineau, M., Carcagno, S., Demany, L. & Pressnitzer, D. (2014). What is a melody? On the relationship between pitch and brightness of timbre. Frontiers in systems neuroscience, 7, 127. doi:10.3389/fnsys.2013.00127

Heeren, W. & Lorenzi, C. (2014). Perception of prosody in normal and whispered French. The Journal of the Acoustical Society of America, 135(4), 2026-40. doi:10.1121/1.4868359

Moon, I., Won, J., Park, M., Ives, D., Nie, K., Heinz, M., Lorenzi, C. & Rubinstein, J. (2014). Optimal combination of neural temporal envelope and fine structure cues to explain speech identification in background noise. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(36), 12145-54. doi:10.1523/JNEUROSCI.1025-14.2014

Léger, A., Ives, D. & Lorenzi, C. (2014). Abnormal intelligibility of speech in competing speech and in noise in a frequency region where audiometric thresholds are near-normal for hearing-impaired listeners. Hearing research, 316, 102-9. doi:10.1016/j.heares.2014.07.008

Christianson, G., Chait, M., de Cheveigné, A. & Linden, J. (2014). Auditory evoked fields measured noninvasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. Journal of neurophysiology, 112(12), 3053-65. doi:10.1152/jn.00189.2014

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation, a versatile tool for multichannel data analysis. NeuroImage, 98, 487-505. doi:10.1016/j.neuroimage.2014.05.068

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

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

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

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