Artificial Intelligence (AI) has advanced material research that were previously intractable,
for example, the machine learning (ML) has been able to predict some unprecedented …

Phase-disorder-induced resonance has been recently uncovered in an ensemble of
coupled excitable neurons with weak external signal, where each neuron takes a constant …

Recent research has revealed that a system of coupled units with a certain degree of
parameter diversity can generate an enhanced response to a subthreshold signal compared …

It is well known that resonance can be induced by external noise or diversity. Here we show
that resonance can be induced even by a phase disorder in coupled excitable neurons with …

According to an increasing number of researchers intelligence emerges from criticality as a
consequence of locality breakdown and long-range correlation, well known properties of …

The precise amplitude and period of neuronal oscillations are crucial for the functioning of
neuronal networks. We propose a chain model featuring a repulsive coupling at the first …

Optimizing information transmission across a network is an essential task for controlling and
manipulating generic information-processing systems. Here, we show how topological …

It has been generally believed that both time delay and network structure could play a
crucial role in determining collective dynamical behaviors in complex systems. In this work …

The diversity-induced resonance in weighted scale-free networks is investigated numerically
and analytically. The couplings are weighted according to node degree. It is found that self …

Undoubtedly, the sensory organs of biological systems have been evolved to accurately
detect and locate the external stimuli, even if they are very weak. However, the mechanism …