It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

Inverse stochastic resonance refers to the phenomenon that the average firing rate of a
neuron is inhibited by noise, of which mechanism is widely used in a variety of biological …

ABSTRACT A potential issue of interest is figuring out how the combination of temporal and
higher-order interactions influences the collective dynamics of the brain, specifically …

Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and
technology. For example, adaptive couplings appear in various real-world systems, such as …

Inverse stochastic resonance (ISR) is the phenomenon of the response of neuron to noise,
which is opposite to the conventional stochastic resonance. In this paper, the ISR …

The stability analysis of synchronization in time-varying higher-order networked structures
(simplicial complexes) is a challenging problem due to the presence of time-varying group …

We study aperiodic stochastic resonance (ASR) in a biased monostable system that
subjected to different weak aperiodic pulse signals and strong noise. It is found that the …

Inverse stochastic resonance (ISR) is a counterintuitive phenomenon where noise reduces
the oscillation frequency of an oscillator to a minimum occurring at an intermediate noise …

Noise is prevalent in biology and has been widely quantified using snapshot measurements.
This static view obscures our understanding of dynamic noise properties and how these …

Lake ecosystems exhibit nonlinear responses and may undergo catastrophic shifts to
opposite states from which recovery is difficult. Recent theoretical and experimental …