Xian-Qing Yang

Heterogeneous delay-induced asynchrony and resonance in a small-world neuronal network system

A neuronal network often involves time delay caused by the finite signal propagation time in a given biological network. This time delay is not a homogenous fluctuation in a biological system. The heterogeneous delay-induced asynchrony and resonance in a noisy small-world neuronal network system are numerically studied in this work by calculating synchronization measure and spike interval distribution. We focus on three different delay conditions: double-values delay, triple-values delay, and Gaussian-distributed delay. Our results show the following: 1) the heterogeneity in delay results in asynchronous firing in the neuronal network, and 2) maximum synchronization could be achieved through resonance given that the delay values are integer or half-integer times of each other.

Damped oscillations in a multiple delayed feedback NF-\kappaB signaling module

The NF-

Energy dissipation in the deterministic and nondeterministic Nagel–Schreckenberg models

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The relations of “go and stop” wave to car accidents in a cellular automaton with velocity-dependent randomization

κB signaling system regulates a number of cellular processes. Recent studies with simplified models found a damped function of the dual delayed feedback NF-

Traffic accidents in a cellular automaton model with a speed limit zone

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Spiral waves in systems with fractal heterogeneity

κB signaling module. We use a computational model to investigate how multiple delayed feedback aids achieving damping oscillation in the system and how internal noise can influence the damping function. A curve-fitting method (CFM) is introduced to quantify the damped oscillation. Our results show that (1) the structure of multiple delayed feedback, containing double or triple significantly delayed feedback, determines achieving damped oscillation. (2) Internal noise could aid the system to achieve damped oscillation under almost all circumstances.