Publications

Stiefel, K., Gutkin, B. & Sejnowski, T. (2008). Cholinergic neuromodulation changes phase response curve shape and type in cortical pyramidal neurons. PLoS ONE, 3(12). doi:10.1371/journal.pone.0003947

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

Keramati, M., Durand, A., Girardeau, P., Gutkin, B. & Ahmed, S. (2017). Cocaine addiction as a homeostatic reinforcement learning disorder. Psychological review, 124(2), 130-153. doi:10.1037/rev0000046

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., Edeline, J., Gaucher, Q. & Gourévitch, B. (2013). Component analysis reveals sharp tuning of the local field potential in the guinea pig auditory cortex. Journal of neurophysiology, 109(1), 261-72. doi:10.1152/jn.00040.2012

Bobashev, G., Costenbader, E. & Gutkin, B. (2007). Comprehensive mathematical modeling in drug addiction sciences. Drug and Alcohol Dependence, 89(1), 102-106. doi:10.1016/j.drugalcdep.2006.12.029

Tegnér, J., Compte, A., Auffray, C., An, G., Cedersund, G., Clermont, G., Gutkin, B., Oltvai, Z., Stephan, K., Thomas, R. & Villoslada, P. (2009). Computational disease modeling - Fact or fiction? BMC Systems Biology, 3. doi:10.1186/1752-0509-3-56

Chambers, C., Elgueda, D. , Fritz, J. , Shamma, S., Burkitt, A. & Grayden David, B. (2019). Computational Neural Modeling of Auditory Cortical Receptive Fields. Front. Comput. Neurosci. doi:10.3389/fncom.2019.00028

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

Maier, J., Mcalpine, D., Klump, G. & Pressnitzer, D. (2010). Context effects in the discriminability of spatial cues. Journal of the Association for Research in Otolaryngology : JARO, 11(2), 319-28. doi:10.1007/s10162-009-0200-0

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

Morozova, E., Myroshnychenko, M., Zakharov, D., Di Volo, M., Gutkin, B., Lapish, C. & Kuznetsov, A. (2016). Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting. Journal of neurophysiology, 116(4), 1900-1923. doi:10.1152/jn.00232.2016

Varnet, L., Agnès C., L., Boucher, S. , Bonnet, C. , Petit, C. & Lorenzi, C. (2021). Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis. Front. Aging Neurosci., 13, 83. doi:10.3389/fnagi.2021.640522

Bravard, R., Demany, L. & Pressnitzer, D. (2023). Controlling audibility with noise for online experiments using sound. JASA express letters, 3(6), 064402. doi:10.1121/10.0019807

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

Di Liberto, G., PELOFI, C., Bianco, R. , Patel, P. , Mehta, A. , Herrero, J. , de Cheveigné, A., Shamma, S. & Mesgarani, N. (2021). Cortical encoding of melodic expectations in human temporal cortex. e-Life, 9, e51784. doi:10.7554/eLife.51784

Ruggles, D., Tausend, A., Shamma, S. & Oxenham, A. (2018). Cortical markers of auditory stream segregation revealed for streaming based on tonotopy but not pitch. The Journal of the Acoustical Society of America, 144(4), 2424. doi:10.1121/1.5065392

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

Défossez, A., Caucheteux, C. , Rapin, J. & King, J. (2023). Decoding speech perception from non-invasive brain recordings. Nature Machine Intelligence volume, 5, 1097–1107. doi:10.1038/s42256-023-00714-5

Albouy , P. , Caclin, A. , Norman-Haignere, S., Lévêque, Y. , Peretz, I. , Tillmann, B. & J Zatorre, R. (2019). Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia. Front Neurosci ., 13, 1165. doi:10.3389/fnins.2019.01165

de Cheveigné, A., Wong, D., Di Liberto, G., Hjortkjær, J., Slaney, M. & Lalor, E. (2018). Decoding the auditory brain with canonical correlation analysis. NeuroImage, 172, 206-216. doi:10.1016/j.neuroimage.2018.01.033

Caucheteux, C. , Gramfort, A. & King, J. (2022). Deep language algorithms predict semantic comprehension from brain activity. , 1é(16327). doi:10.1038/s41598-022-20460-9

Attaheri, A. , Choisdealbha, Á. , Di Liberto, G., Rocha, S. , Brusini, P. , Mead, N. , Olawole-Scott, H. , Boutris, P., Gibbon, S. , Williams, I. , Grey, C. , Flanagan, S. & Goswami, U. (2022). Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants. NeuroImage, 247, 118698. doi:10.1016/j.neuroimage.2021.118698

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

Boubenec, Y., Lawlor, J., Górska, U., Shamma, S. & Englitz, B. (2017). Detecting changes in dynamic and complex acoustic environments. eLife, 6. doi:10.7554/eLife.24910

Claassen, J. , Doyle, K. , Matory, A. , Couch, C. , Burger, K. , Velazquez, A. , Okonkwo, J. , King, J. , Park, S. , Agarwal, S. , Roh, D. , Megjhani, M. & (Et Al), . (2019). Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury. N Engl J Med, 380, 2497-2505. doi:10.1056/NEJMoa1812757

Causey, E. , Aceto, K. , Mazze, L. , Alimonos, C. , Adam, D. , Jeyabalan, J. , Dasuki, A. , Viswanathan, J. , Mohammed, A. , Yin, P. , Shamma, S. & Fritz, J. (2020). Development of an Animal Model to Study Effects of Auricular Vagal Nerve Stimulation on Brain Plasticity and Auditory Learning of Complex Phoneme Discrimination – A Preliminary Study. Impulse, 1-6