activity
20042023
most citedChaotic oscillations in a map-based model of neural activity

100 citations · 377 across the 14 of their papers we have counts for

collaborators

14 papers

nlin.CD2023

Adaptation rules inducing synchronization of heterogeneous Kuramoto oscillator network with triadic couplings

Anastasiia Emelianova, Vladimir Nekorkin

A class of adaptation functions is found for which a synchronous oscillation mode exists in the network of phase oscillators with triadic couplings. It is shown that the destructio…

nlin.AO2019★ 67 cited

Hierarchical frequency clusters in adaptive networks of phase oscillators

Rico Berner, Jan Fialkowski, Dmitry Kasatkin +3

Adaptive dynamical networks appear in various real-word systems. One of the simplest phenomenological models for investigating basic properties of adaptive networks is the system o…

nlin.CD2018★ 22 cited

Itinerant chimeras in an adaptive network of pulse-coupled oscillators

Dmitry Kasatkin, Vladimir Klinshov, Vladimir Nekorkin

In a network of pulse-coupled oscillators with adaptive coupling, we a dynamical regime which we call an `itinerant chimera'. Similarly as in classical chimera states, the network…

nlin.CD2017★ 24 cited

Embedding the dynamics of a single delay system into a feed-forward ring

Vladimir Klinshov, Dmitry Shchapin, Serhiy Yanchuk +3

We investigate the relation between the dynamics of a single oscillator with delayed self-feedback and a feed-forward ring of such oscillators, where each unit is coupled to its ne…

physics.data-an2017★ 18 cited

Phase response function for oscillators with strong forcing or coupling

Vladimir Klinshov, Serhiy Yanchuk, Artur Stephan +1

Phase response curve (PRC) is an extremely useful tool for studying the response of oscillatory systems, e.g. neurons, to sparse or weak stimulation. Here we develop a framework fo…

nlin.AO2017★ 13 cited

Transient sequences in a hypernetwork generated by an adaptive network of spiking neurons

Oleg V. Maslennikov, Dmitry S. Shchapin, Vladimir I. Nekorkin

We propose a model of an adaptive network of spiking neurons that gives rise to a hypernetwork of its dynamic states at the upper level of description. Left to itself, the network…

nlin.CD2017★ 7 cited

Mean-field dynamics of a population of stochastic map neurons

Igor Franovic, Oleg V. Maslennikov, Iva Bacic +1

We analyze the emergent regimes and the stimulus-response relationship of a population of noisy map neurons by means of a mean-field model, derived within the framework of cumulant…

physics.geo-ph2016★ 9 cited

Phase response curves for models of earthquake fault dynamics

Igor Franović, Srđan Kostić, Matjaz Perc +3

We systematically study effects of external perturbations on models describing earthquake fault dynamics. The latter are based on the framework of the Burridge-Knopoff spring-block…

nlin.CD2015★ 17 cited

Emergence and combinatorial accumulation of jittering regimes in spiking oscillators with delayed feedback

Vladimir Klinshov, Leonhard Luecken, Dmitry Shchapin +2

Interaction via pulses is common in many natural systems, especially neuronal. In this article we study one of the simplest possible systems with pulse interaction: a phase oscilla…

nlin.CD2015★ 44 cited

Stability threshold approach for complex dynamical systems

Vladimir V. Klinshov, Vladimir I. Nekorkin, Jürgen Kurths

A new measure to characterize stability of complex dynamical systems against large perturbation is suggested, the stability threshold (ST). It quantifies the magnitude of the weake…

nlin.CD2015★ 35 cited

Multistable jittering in oscillators with pulsatile delayed feedback

Vladimir Klinshov, Leonhard Lücken, Dmitry Shchapin +2

Oscillatory systems with time-delayed pulsatile feedback appear in various applied and theoretical research areas, and received a growing interest in the last years. For such syste…

nlin.CD2014★ 13 cited

Evolving dynamical networks with transient cluster activity

Oleg V. Maslennikov, Vladimir I. Nekorkin

We study transient sequential dynamics of evolving dynamical networks, i.e., those having active nodes and links and activity-dependent topology. We show that such networks can gen…

q-bio.NC2007★ 100 cited

Chaotic oscillations in a map-based model of neural activity

Maurice Courbage, V. I. Nekorkin, L. V. Vdovin

We propose a discrete time dynamical system (a map) as phenomenological model of excitable and spiking-bursting neurons. The model is a discontinuous two-dimensional map. We find c…

nlin.CD2004★ 8 cited

Emergence of chaotic attractor and anti-synchronization for two coupled monostable neurons

M. Courbage, V. Kazentsev, V. I. Nekorkin +1

The dynamics of two coupled piece-wise linear one-dimensional monostable maps is investigated. The single map is associated with Poincare section of the FitzHugh-Nagumo neuron mode…