Boris Gutkin

2013⁶

• Article Fontolan L., Krupa M., Hyafil A., Gutkin B. Analytical insights on theta-gamma coupled neural oscillators // Journal of Mathematical Neuroscience. 2013. Vol. 3. No. 1
• Article Dipoppa M., Gutkin B. Correlations in background activity control persistent state stability and allow execution of working memory tasks // Front Comput Neurosci. 2013. Vol. 7. No. 139
• Article Keramati M., Gutkin B. Drug dominated dopamine circuits spiral addicts into a cognitive behavioral conflict. // Plos One. 2013. Vol. 8. No. 4
• Article Graupner M., Maex R., Gutkin B. Endogenous cholinergic inputs and local circuit mechanisms govern the phasic mesolimbic dopamine response to nicotine // PLoS Computational Biology. 2013. Vol. 9. No. 8
• Article Dipoppa M., Gutkin B. 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. 2013. Vol. 110. No. 31. P. 12828-33.
• Article Cazé R. D., Humphries M., Gutkin B. Passive Dendrites Enable Single Neurons to Compute Linearly Non-separable Functions // PLoS Computational Biology. 2013. Vol. 9. No. 2

2014⁹

• Article Krupa M., Gielen S., Gutkin B. Adaptation and shunting inhibition leads to pyramidal/interneuron gamma with sparse firing of pyramidal cells. // Journal of Computational Neuroscience. 2014. Vol. 37. No. 2. P. 357-376. doi
• Article Tolu S., Eddine F., Marti F., David F., Graupner M., Pons S., Baudonat M., Besson M., Reperant C., Zembegs J., Pages C., Caboche J., Gutkin B., Gardier A., Changeux J., Faure P., Maskos U. Co-activation of VTA DA and GABA neurons mediates nicotine reinforcement // Molecular Psychiatry. 2014. Vol. 18. No. 3. P. 382-393.
• Preprint Keramati M., Gutkin B. Collecting reward to defend homeostasis: A homeostatic reinforcement learning theory / Cold Spring Harbor Laboratory. Series 005140 "Biorxiv". 2014.
• Preprint Gutkin B., Keramati M. Collecting reward to defend homeostasis: A homeostatic reinforcement learning theory / Cold Spring Harbor Laboratory. Series код не известен, зарубежная публикация "the preprint server for biology". 2014. doi (in press)
• Article Keramati M., Gutkin B. Homeostatic reinforcement learning for integrating reward collection and physiological stability. // eLife. 2014. Vol. 2. No. 3
• Preprint Oster A., Faure P., Gutkin B. Mechanisms for multiple activity modes of VTA dopamine neurons / Cold Spring Harbor Laboratory. Series http://dx.doi.org/ "BioRxiv". 2014. No. 10.1101/008920.
• Article Maex R., Budygin E., Grinevich V., Bencherif M., Gutkin B. Receptor activation and desensitization as mechanisms for a7 regulation of dopamine response to nicotine // ACS Chemical Neuroscience. 2014. Vol. 15. No. 5(10). P. 1032-40. (in press)
• Article Zeldenrust F., Gutkin B. Spike Frequency Adaptation // Scholarpedia. 2014. Vol. 9. No. 2. P. 30643.
• Article Maex R., Grinevich V., Grinevich V., Budygin E., Bencherif M., Gutkin B. Understanding the role α7 nicotinic receptors play in dopamine efflux in nucleus accumbens // ACS Chem Neurosci. 2014. Vol. 15. No. 5. P. 1032-1040.

2015⁸

• Article McDonnell M., Iannella N., To M., Tuckwell H., Jost J., Gutkin B., Ward L. A review of methods for identifying stochastic resonance in simulations of single neuron models // Network: Computation in Neural Systems. 2015. Vol. 26. No. 2. P. 35-71. doi
• Article Morozova E., Myroshnychenko M., Rooy M. E., Gutkin B., Lapish C., Kuzntesov A. A role of local VTA GABAergic neurons in mediating dopamine neuron response to nicotine // BMC Neuroscience. 2015. Vol. 16. No. 1. P. 137. doi
• Preprint Gutkin B., Keramati M., Girardeau P., Durand A., Ahmed S. An integrated homeostatic reinforcement learning theory of motivation explains the transition to cocaine addiction / Cold Spring Harbor Laboratory. Series код неизвестен, зарубежная публикация "the preprint server for biology". 2015. doi (in press)
• Article Tran-Van-Minh A., Cazé R. D., Abrahamsson T., Cathala L., Gutkin B., DiGregorio D. A. Contribution of sublinear and supralinear dendritic integration to neuronal computations // Frontiers in Cellular Neuroscience. 2015. Vol. 9. No. March, Article number 67 doi
• Article Oster A., Faure P., Gutkin B. Mechanisms for multiple activity modes of VTA dopamine neurons // Frontiers in Computational Neuroscience. 2015. Vol. 9. No. JULY, Article number 95 doi
• Article Gutkin B., Hyafil A., Giraud A., Fontolan L. Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions // Trends in Neuroscience and Education. 2015. Vol. 38. No. 11. P. 725-740. doi
• Preprint Gutkin B., Chalk M., Deneve S. Neural oscillations as a signature of efficient coding in the presence of synaptic delays / Cold Spring Harbor Laboratory. Series Код не известен, зарубежная публикация "the preprint server for biology". 2015. doi (in press)
• Article Hyafil A., Fontolan L., Kabdebon C., Gutkin B., Giraud A. Speech encoding by coupled cortical theta and gamma oscillations // eLife. 2015. No. 4. P. 1-45. doi

2016¹¹

• Article Morozova E., Myroshnychenko M., di Volo M., Zakharov D., Lapish C., Gutkin B., Kuznetsov A. Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting // Journal of Neurophysiology. 2016. Vol. 116. No. 4. P. 1900-1923. doi
• Article Dipoppa M., Szwed M., Gutkin B. Controlling working memory operations by selective gating: The roles of oscillations and synchrony // Advances in Cognitive Psychology. 2016. No. 12(4). P. 209-232. doi
• Article Morozova E. O., Zakharov D., Gutkin B., Lapish C. C., Kuznetsov A. Dopamine Neurons Change the Type of Excitability in Response to Stimuli // PLoS Computational Biology. 2016 doi
• Article Morozova E., Zakharov D., Gutkin B., Lapish C., Kuznetsov A. Dopamine neurons change the type of excitability in response to stimuli // PLoS Computational Biology. 2016. Vol. 12. No. 12. P. e1005233-1-e1005233-36. doi
• Article Gutkin B., Canavier C., Evans R., Oster A., Pissadaki E., Drion G., Kuznetsov A. Implications of cellular models of dopamine neurons for disease. // Journal of Neurophysiology. 2016 doi
• Article Gutkin B., Roth A., Buchin A., Hausser M. Inverse Stochastic Resonance in Cerebellar Purkinje Cells // PLoS Computational Biology. 2016 doi
• Article Gutkin B., Chalk M., Deneve S. Neural oscillations as a signature of efficient coding in the presence of synaptic delays // eLife. 2016. Vol. 7. No. 6. P. 1-11. doi
• Article Buchin A., Chizov A., Huberfeld G., Miles R., Gutkin B. Reduced efficacy of the KCC2 cotransporter promotes epileptic oscillations in a subiculum network model // Journal of Neuroscience. 2016. Vol. 36. No. 46. P.  11619-11633. doi
• Article Novikov N., Gutkin B. Robustness of persistent spiking to partial synchronization in a minimal model of synaptically driven self-sustained activity // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2016. Vol. 94. No. 5. P. 052313-1-052313-13. doi
• Article Gutkin B., Lapish C., Kuznetsov A., Zakharov D. Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. // Frontiers in Computational Neuroscience. 2016. Vol. 10. No. 48 doi
• Article Zakharov D., Lapish C., Gutkin B., Kuznetsov A. Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. // Frontiers in Computational Neuroscience. 2016. Vol. 10. No. 48. P. 1-11. doi

2017⁸

• Article Bobashev G., Holloway J., Solano E., Gutkin B. A Control Theory Model of Smoking // Methods Reports. 2017. Vol. июнь. P. 1-20. doi
• Article Keramati M., Durand A., Girardeau P., Gutkin B., Ahmed S. Cocaine addiction as a homeostatic reinforcement learning disorder // Psychological Review. 2017. Vol. 124. No. 2. P. 130-153. doi
• Article Gutkin B., Zeldenrust F., de Knecht S., Wadman W., Deneve S. Estimating the information extracted by a single spiking neuron from a continuous input time series // Frontiers in Computational Neuroscience. 2017. No. 11. P. 1-15. doi
• Article Keramati M., Ahmed S., Gutkin B. Misdeed of the need: towards computational accounts of transition to addiction. // Current Opinion in Neurobiology. 2017. Vol. 8. No. 46. P. 142-153. (in press)
• Article Koukouli F., Rooy M., Tziotis D., Sailor K., O'Neill H., Levenga J., Witte M., Nilges M., Changeux J., Hoeffer C., Stitzel J., Gutkin B., Digregorio D., Maskos U. Nicotine reverses hypofrontality in animal models of addiction and schizophrenia // Nature Medicine. 2017. No. 23. P. 347-354. doi
• Article Koukouli F., Rooy M. E., Tziotis D., Sailor K., O'Neill H., Levenga J., Witte M., Nilges M., Changeux J., Hoeffer C., Stitzel J., Gutkin B., DiGregorio D., Maskos U. Nicotine reverses hypofrontality in animal models of addiction and schizophrenia // Nature Medicine. 2017. Vol. 23. No. 3. P. 347. doi
• Article Gutkin B., Chalk M., Masset P., Deneve S. Sensory noise predicts divisive reshaping of receptive fields // PLoS Computational Biology. 2017. Vol. 13. No. 6. P. 1-16. doi
• Article Gutkin B., Maex R. Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons // Journal of Neurophysiology. 2017. Vol. 118. No. 1. P. 471-485. doi

2018⁵

• Article Buchin A., Kerr C., Huberfeld G., Miles R., Gutkin B. Adaptation and inhibition control pathological synchronization in a model of focal epileptic seizure // eNeuro. 2018. Vol. 0019-18. P. 1-14. doi
• Article Gutkin B., di Volo M., Morozova E., Kuznetsov A., Lapish C. Dynamical ventral tegmental area circuit mechanisms of alcohol‐dependent dopamine release // European Journal of Neuroscience. 2018 doi
• Article Volk D., Дубинин И. В., Myasnikova A., Gutkin B., Nikulin V. Generalized Cross-Frequency Decomposition: A Method for the Extraction of Neuronal Components Coupled at Different Frequencies // Frontiers in Neuroinformatics. 2018. Vol. 12. No. 72 doi
• Article Zakharov D., Gutkin B., Krupa M., Kuznetsov A. High-frequency forced oscillations in neuronlike elements // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2018. Vol. 97. No. 6. P. 062211-1-062211-5. doi
• Article Новиков Н. А., Гуткин Б. С. РОЛЬ БЕТА- И ГАММА-РИТМОВ В РЕАЛИЗАЦИИ ФУНКЦИИ рабочей памяти // Психология. Журнал Высшей школы экономики. 2018. Т. 15. № 1. С. 174-182. doi

2019¹