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Controlling complex networks with complex nodes
Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …
multiple timescales and length scales. The fields of statistical physics and control theory both …
Chimeras
Chimeras are this year coming of age since they were first observed by Kuramoto and
Battogtokh in 2002 in a one-dimensional network of complex Ginzburg–Landau equations …
Battogtokh in 2002 in a one-dimensional network of complex Ginzburg–Landau equations …
Chimera states in neuronal networks: A review
Neuronal networks, similar to many other complex systems, self-organize into fascinating
emergent states that are not only visually compelling, but also vital for the proper functioning …
emergent states that are not only visually compelling, but also vital for the proper functioning …
Chimera patterns in networks
Synchronization phenomena represent one of the central issues in the modern research, in
particular, on nonlinear dynamics, network science, and statistical physics with applications …
particular, on nonlinear dynamics, network science, and statistical physics with applications …
Is there a user-friendly building unit to replicate rhythmic patterns of CPG systems? Synchrony transition and application of the delayed bursting-HCO model
The CPG neural system is an important local circuit to control rhythmic movement of
vertebrates and invertebrates. The half-central oscillator (HCO), ie the building unit of the …
vertebrates and invertebrates. The half-central oscillator (HCO), ie the building unit of the …
Time delayed chemical synapses and synchronization in multilayer neuronal networks with ephaptic inter-layer coupling
In this paper, a three-layer neuronal network is studied to consider different complex
connections between the neurons. In the nervous system, the communication between the …
connections between the neurons. In the nervous system, the communication between the …
Solitary states and solitary state chimera in neural networks
We investigate solitary states and solitary state chimeras in a ring of nonlocally coupled
systems represented by FitzHugh-Nagumo neurons in the oscillatory regime. We perform a …
systems represented by FitzHugh-Nagumo neurons in the oscillatory regime. We perform a …
Weak multiplexing in neural networks: Switching between chimera and solitary states
We investigate spatio-temporal patterns occurring in a two-layer multiplex network of
oscillatory FitzHugh-Nagumo neurons, where each layer is represented by a nonlocally …
oscillatory FitzHugh-Nagumo neurons, where each layer is represented by a nonlocally …
Coherence-resonance chimeras in coupled HR neurons with alpha-stable Lévy noise
In this paper, we have investigated the collective dynamical behaviors of a network of
identical Hindmarsh–Rose neurons that are coupled under small-world schemes upon the …
identical Hindmarsh–Rose neurons that are coupled under small-world schemes upon the …
Genesis of chimera patterns through self-induced stochastic resonance
Noise induced order in excitable systems has diverse manifestations, such as coherence
resonance (CR) and stochastic resonance. In this context a less explored phenomenon is …
resonance (CR) and stochastic resonance. In this context a less explored phenomenon is …