Neuronal synchronization is important for communication between brain regions and plays a
key role in learning. However, changes in connectivity can lead to hyper-synchronized …

Computational models of the neuromusculoskeletal system provide a deterministic
approach to investigate input-output relationships in the human motor system …

A great deal of research has been devoted on the investigation of neural dynamics in
various network topologies. However, only a few studies have focused on the influence of …

We study the time delay in the synaptic conductance for suppression of spike
synchronisation in a random network of Hodgkin–Huxley neurons coupled by means of …

Sustained spontaneous activity in the resting state brain represents the intrinsic state of the
brain during most cognitive tasks. Electroencephalogram (EEG) measures of the resting …

One of the most fundamental questions in the field of neuroscience is the emergence of
synchronous behaviour in the brain, such as phase, anti-phase, and shift-phase …

In this paper, we focus on the emergence of diverse neuronal oscillations arising in a mixed
population of neurons with different excitability properties. These properties produce mixed …

Healthy brains display a wide range of firing patterns, from synchronized oscillations during
slow-wave sleep to desynchronized firing during movement. These physiological activities …

The field of computational modeling of the brain is advancing so rapidly that now it is
possible to model large scale networks representing different brain regions with a high level …

Цель настоящей работы-обзор исследований коллективной динамики в сетях
активных элементов с импульсными связями. Для многих сетевых колебательных …