In this paper, we discuss recent progress in research of ensembles of mean field coupled
oscillators. Without an ambition to present a comprehensive review, we outline most …

Dynamical networks are systems of active elements (nodes) interacting with each other
through links. Examples are power grids, neural structures, coupled chemical oscillators …

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

Synchronization of populations of neurons is a hallmark of several brain diseases.
Coordinated reset (CR) stimulation is a model-based stimulation technique which …

Brain circuits display modular architecture at different scales of organization. Such neural
assemblies are typically associated to functional specialization but the mechanisms leading …

Динамические сети представляют собой системы активных элементов-узлов,
взаимодействующих между собой посредством связей. Примерами таких систем …

This work introduces a methodology for studying synchronization in adaptive networks with
heterogeneous plasticity (adaptation) rules. As a paradigmatic model, we consider a …

摘要生物神经网络的同步被认为在大脑神经信息的处理过程中发挥了重要作用.
本文以树突整合型(DHH) 神经元网络为研究对象, 在网络中考虑脉冲时间依赖可塑性(STDP) …

The human brain's synapses have remarkable activity-dependent plasticity, where the
connectivity patterns of neurons change dramatically, relying on neuronal activities. As a …

Reservoir computing (RC) offers distinct advantages in extracting spatiotemporal information
with low training costs by separating recurrent neural networks into a fixed network with …