55 citations · 121 across the 11 of their papers we have counts for
12 papers
Heterogeneity Induces Cyclops States in Kuramoto Networks with Higher-Mode Coupling
Maxim I. Bolotov, Lev A. Smirnov, Vyacheslav O. Munyayev +2
Disorder is often seen as detrimental to collective dynamics, yet recent work has shown that heterogeneity can enhance network synchronization. However, its constructive role in st…
Chimera states in a system of stationary and flying-through deterministic particles with an internal degree of freedom
Maxim I. Bolotov, Lev A. Smirnov, Vyacheslav O. Munyaev +1
We consider the effect of the emergence of chimera states in a system of coexisting stationary and flying-through in potential particles with an internal degree of freedom determin…
Breathing and switching cyclops states in Kuramoto networks with higher-mode coupling
Maxim I. Bolotov, Vyacheslav O. Munyayev, Lev A. Smirnov +2
Cyclops states are intriguing cluster patterns observed in oscillator networks, including neuronal ensembles. The concept of cyclops states formed by two distinct, coherent cluster…
Deterministic dynamics of overactive Brownian particle in 2D and 3D potential wells
Denis S. Goldobin, Lev A. Smirnov, Lyudmila S. Klimenko +1
We study deterministic dynamics of overactive Brownian particles in 2D and 3D potentials. This dynamics is Hamiltonian. Integrals of motion for continuous rotational symmetries are…
Two-cluster regular states, chimeras and hyperchaos in a system of globally coupled phase oscillators with inertia
Vyacheslav O. Munyayev, Maxim I. Bolotov, Lev A. Smirnov +1
In this work, two-cluster modes are studied in a system of globally coupled Kuramoto-Sakaguchi phase oscillators with inertia. It is shown that these regimes can be of two types: w…
How saccadic vision might help with theinterpretability of deep networks
Iana Sereda, Grigory Osipov
We describe how some problems (interpretability,lack of object-orientedness) of modern deep networks potentiallycould be solved by adapting a biologically plausible saccadicmechani…
Problems of representation of electrocardiograms in convolutional neural networks
Iana Sereda, Sergey Alekseev, Aleksandra Koneva +2
Using electrocardiograms as an example, we demonstrate the characteristic problems that arise when modeling one-dimensional signals containing inaccurate repeating pattern by means…
Deep Learning for ECG Segmentation
Viktor Moskalenko, Nikolai Zolotykh, Grigory Osipov
We propose an algorithm for electrocardiogram (ECG) segmentation using a UNet-like full-convolutional neural network. The algorithm receives an arbitrary sampling rate ECG signal a…
ECG Segmentation by Neural Networks: Errors and Correction
Iana Sereda, Sergey Alekseev, Aleksandra Koneva +2
In this study we examined the question of how error correction occurs in an ensemble of deep convolutional networks, trained for an important applied problem: segmentation of Elect…
Solitary synchronization waves in distributed oscillators populations
L. A. Smirnov, G. V. Osipov, A. Pikovsky
We demonstrate existence of solitary waves of synchrony in one-dimensional arrays of identical oscillators with Laplacian coupling. Coarse-grained description of the array leads to…
Coexisting synchronous and asynchronous states in locally coupled array of oscillators by partial self-feedback control
Bidesh K. Bera, Dibakar Ghosh, Punit Parmananda +2
We report the emergence of coexisting synchronous and asynchronous subpopulations of oscillators in one dimensional arrays of identical oscillators by applying a self-feedback cont…
Marginal chimera state at cross-frequency locking of pulse-coupled neural networks
M. I. Bolotov, G. V. Osipov, A. Pikovsky
We consider two coupled populations of leaky integrate-and-fire neurons. Depending on the coupling strength, mean fields generated by these populations can have incommensurate freq…