Denis Zakharov
- Leading Research Fellow:Institute for Cognitive Neuroscience / International Laboratory of Social Neurobiology
- Leading Research Fellow:Institute for Cognitive Neuroscience / Centre for Cognition & Decision Making
- Denis Zakharov has been at HSE University since 2018.
Education and Degrees
- 2005
Candidate of Sciences* (PhD)
- 1999
Master's
Lobachevsky State University of Nizhny Novgorod - 1997
Bachelor's
Lobachevsky State University of Nizhny Novgorod
* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Courses (2022/2023)
- Advanced Computational Neuroscience (Master’s programme; Institute for Cognitive Neuroscience; 2 year, 1, 2 module)Eng
- Research Seminar "Computational Sciences" (Master’s programme; Institute for Cognitive Neuroscience; 2 year, 1-3 module)Eng
- Some Topics of Calculus, Differential Equations and Nonlinear Dynamics (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 1, 2 module)Eng
- Past Courses
Courses (2021/2022)
- Advanced Calculus (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 1, 2 module)Eng
- Research Seminar "Computational Sciences" (Master’s programme; Institute for Cognitive Neuroscience; 2 year, 1-3 module)Eng
Courses (2020/2021)
Advanced Calculus (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 1, 2 module)Eng
Courses (2019/2020)
Advanced Calculus (Master’s programme; Institute for Cognitive Neuroscience; 1 year, 1, 2 module)Eng
Publications16
- Article O. Dogonasheva, Kasatkin D., Boris Gutkin, Denis Zakharov. Multistability and evolution of chimera states in a network of type II Morris–Lecar neurons with asymmetrical nonlocal inhibitory connections // Chaos. 2022. Vol. 32. No. 10. Article 101101. doi
- Article Novikov N., Zakharov D., Moiseeva V., Гуткин Б. С. Activity Stabilization in a Population Model of Working Memory by Sinusoidal and Noisy Inputs // Frontiers in Neural Circuits. 2021. Vol. 15. Article 647944. doi
- Chapter Denis Zakharov, Olesia Dogonasheva, Boris Gutkin. Bistability of globally synchronous and chimera states in a ring of phase oscillators coupled by a cosine kernel, in: 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA). IEEE, 2021. doi P. 211-214. doi
- Chapter Olesia Dogonasheva, Boris Gutkin, Denis Zakharov. Calculation of travelling chimera speeds for dynamical systems with ring topologies, in: 2021 5th Scientific School Dynamics of Complex Networks and their Applications (DCNA). IEEE, 2021. doi P. 61-64. doi
- Article Dogonasheva O., Касаткин Д. В., Гуткин Б. С., Zakharov D. Robust universal approach to identify travelling chimeras and synchronized clusters in spiking networks // Chaos, Solitons and Fractals. 2021. Vol. 153. Article 111541. doi
- Article Rooy M. E., Novikov N., Zakharov D., Гуткин Б. С. Interaction between PFC neural networks ultraslow fluctuations and brain oscillations // Izvestiya Vysshikh uchebnykh zavedeniy. Prikladnaya nelineynaya dinamika. 2020. Vol. 28. No. 1. P. 90-97. doi
- Article Zakharov D., Krupa M., Гуткин Б. С. Modeling dopaminergic modulation of clustered gamma rhythms // Communications in Nonlinear Science and Numerical Simulation. 2020. Vol. 82. P. 105086. doi
- Chapter Zakharov D., Dogonasheva O., Гуткин Б. С. Role of Pyramidal Cell M-current in Weak Pyramidal/Interneuronal Gamma Cluster Formation, in: 2020 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR). Danvers, USA: IEEE Xplore, 2020. P. 261-264. doi
- Article Zakharov D., Krupa M., Tyutin V. V., Гуткин Б. С. Modulation of synchronous gamma rhythm clusters // Cybernetics and Physics. 2019. Vol. 8. No. 3. P. 185-188. doi
- Article Zakharov D., Гуткин Б. С., 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
- Book Ижикевич Е. М. Динамические системы в нейронауке. Геометрия возбудимости и пачечной активности / Перев.: Д. Г. Захаров; под общ. ред.: В. И. Некоркин, М. И. Малкин. Ижевск : Ижевский институт компьютерных исследований, 2018.
- Article Dmitrichev A., Zakharov D., Nekorkin V. On the global synchronization in hub clusters of power grids / Пер. с рус. // Radiophysics and Quantum Electronics. 2017. Vol. 60. No. 6. P. 506-512. doi
- Article Morozova E., Myroshnychenko M., di Volo M., Zakharov D., Lapish C., Гуткин Б. С., 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 Morozova E., Zakharov D., Гуткин Б. С., 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 Zakharov D., Lapish C., Гуткин Б. С., 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
- Article Zakharov D., Kuznetsov A. On the dynamical mechanisms of influence of synaptic currents on the neuron model with response differentiation / Пер. с рус. // JETP Letters. 2015. Vol. 102. No. 3. P. 184-188. doi
Conferences
- 2022Baltic Forum: Neuroscience, Artificial Intelligence and Complex Systems (BF-NAICS 2022) (Калининград ). Presentation: Multistability of synchronous clusters in spiking neuronal networks as an origin of modulated weak gamma rhythm
- 202130th Annual Computational Neuroscience Meeting CNS*2021 (on-line). Presentation: A general approach to characterize structured synchronization processes in spiking neural networks based on an adaptive synchronization measure
V Scientific School "Dynamics of Complex Networks and their Applications" (DCNA 2021) (Калининград). Presentation: Bistability of globally synchronous and chimera states in a ring of phase oscillators coupled by a cosine kernel
V Scientific School "Dynamics of Complex Networks and their Applications" (DCNA 2021) (Калининград). Presentation: Calculation of travelling chimera speeds for dynamical systems with ring topologies
- Нелинейные дни в Саратове для молодых — 2021 (Саратов). Presentation: Особенности процессов синхронизациив нейронных сетях и методы их исследования
- 2020Международная конференция «XIX научная школа "Нелинейные волны – 2020"» (Нижний Новгород). Presentation: Динамические механизмы управления динамикой дофаминергических нейронов
The 13th CHAOS 2020 International Conference ( Florence, Italy). Presentation: Influence of Intrinsic Currents of Pyramidal Cells on the Weak PING Rhythm
- 4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR-2020) (Innopolis). Presentation: Role of Pyramidal Cell M-current in Weak Pyramidal/Interneuronal Gamma Cluster Formation
- 2019
The 28 th Annual Computational Neuroscience conference (Барселона). Presentation: Role of VTA GABAergic neurons in high-frequency firing of dopaminergic neuron
- The 9th International Scientific Conference on Physics and Control (PhysCon2019) (Иннополис). Presentation: MODULATION OF SYNCHRONOUS GAMMA RHYTHM CLUSTERS
- Третья международная конференция «Физика — наукам о жизни» (Санкт-Петербург). Presentation: Динамические механизмы управления активностью дофаминергических нейронов среднего мозга
- 2018INTERNATIONAL WORKSHOP ON NEURODYNAMICS (NDy'18) (Castro-Urdiales). Presentation: Dynamical mechanisms of high frequency spiking of a dopamine neuron