Real-world systems in epidemiology, social sciences, power transportation, economics and
engineering are often described as multilayer networks. Here we first define and compute …

Adaptive networks change their connectivity with time, depending on their dynamical state.
While synchronization in structurally static networks has been studied extensively, this …

Some electronic components including memristors and Josephson junctions have potential
application to mimic biological neurons or synapses characteristics. In this paper, an …

We propose a concept to generate and stabilize diverse partial synchronization patterns
(phase clusters) in adaptive networks which are widespread in neuroscience and social …

The field of network synchronization has seen tremendous growth following the introduction
of the master stability function (MSF) formalism, which enables the efficient stability analysis …

Inspired by the interplay between both electrical and chemical synapses, we propose an
analog electronic synapse-like model to characterize biological synaptic properties. By …

In this paper, we study intralayer synchronization of multiplex networks where nodes in each
layer interact through diverse types of coupling functions associated with different time …

The interplay between synchronization across layers and structures within layers still
remains far unclear in multi-layer networks. Via our newly-constructed two-layer network …

The change of firing rates depends on how synaptic features interact with intrinsic properties
of cells in neural system. Considering the chemical synaptic features, we design a …

Autapse is the synaptic coupling of a neuron's axon to its own dendrite. Considering recent
experimental evidence regarding functional excitatory autapses, we explored how the …