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 …
Creation of heterogeneity or defects in a memristive neural network under energy flow
The field energy in neuron can be changed under shape deformation because of external
energy injection into the media. The electromagnetic field superposition enables energy …
energy injection into the media. The electromagnetic field superposition enables energy …
Synchronization in simplicial complexes of memristive Rulkov neurons
Simplicial complexes are mathematical constructions that describe higher-order interactions
within the interconnecting elements of a network. Such higher-order interactions become …
within the interconnecting elements of a network. Such higher-order interactions become …
Patterns of neuronal synchrony in higher-order networks
Synchrony in neuronal networks is crucial for cognitive functions, motor coordination, and
various neurological disorders. While traditional research has focused on pairwise …
various neurological disorders. While traditional research has focused on pairwise …
Synchronization and patterns in a memristive network in noisy electric field
A simple neural circuit coupled by magnetic flux-controlled memristor (MFCM) can be
controlled to describe the electromagnetic effect and radiation on biological neurons. In this …
controlled to describe the electromagnetic effect and radiation on biological neurons. In this …
Coherence resonance in neuronal populations: Mean-field versus network model
The counterintuitive phenomenon of coherence resonance describes a nonmonotonic
behavior of the regularity of noise-induced oscillations in the excitable regime, leading to an …
behavior of the regularity of noise-induced oscillations in the excitable regime, leading to an …
The multiplex decomposition: An analytic framework for multilayer dynamical networks
Multiplex networks are networks composed of multiple layers such that the number of nodes
in all layers is the same and the adjacency matrices between the layers are diagonal. We …
in all layers is the same and the adjacency matrices between the layers are diagonal. We …
[HTML][HTML] Complex dynamics in adaptive phase oscillator networks
B Jüttner, EA Martens - Chaos: An Interdisciplinary Journal of …, 2023 - pubs.aip.org
Networks of coupled dynamical units give rise to collective dynamics such as the
synchronization of oscillators or neurons in the brain. The ability of the network to adapt …
synchronization of oscillators or neurons in the brain. The ability of the network to adapt …
Effects of magnetic fields on stochastic resonance in Hodgkin-Huxley neuronal network driven by Gaussian noise and non-Gaussian noise
H Yang, G Xu, H Wang - Cognitive Neurodynamics, 2022 - Springer
Stochastic resonance is a remarkable phenomenon that can enhance signal processing by
the addition of random noise. However, the effect of magnetic fields on stochastic resonance …
the addition of random noise. However, the effect of magnetic fields on stochastic resonance …
Relaxation time as an indicator of critical transition to a eutrophic lake state: The role of stochastic resonance
Z Ma, C Zeng, B Zheng - Europhysics Letters, 2022 - iopscience.iop.org
Lake ecosystems exhibit nonlinear responses and may undergo catastrophic shifts to
opposite states from which recovery is difficult. Recent theoretical and experimental …
opposite states from which recovery is difficult. Recent theoretical and experimental …