Epilepsy is one of the most common neurological disorders. Accurate detection of epileptic
seizures is essential for treatment. A seizure detection method with the structure of functional …

Epilepsy is a group of chronic neurological disorders characterized with recurrent and
hypersynchronous discharge. In the epileptic brain, epileptogenic zone (EZ) with abnormal …

Electrophysiological power spectra typically consist of two components: An aperiodic part
usually following an 1/f power law P∝ 1/f β and periodic components appearing as spectral …

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

The human brain represents a complex computational system, the function and structure of
which may be measured using various neuroimaging techniques focusing on separate …

This review describes the subjective experience of visual aura in migraine, outlines
theoretical models of this phenomenon, and explores how these may be linked to …

Reservoir computing is an efficient and flexible framework for decision-making, control, and
signal processing. It uses a network of interacting components varying from abstract …

Many living and artificial systems possess structural and dynamical properties of complex
networks. One of the most exciting living networked systems is the brain, in which …

In this study, the hybrid conductance-based adaptive exponential integrate and fire (CadEx)
neuron model is proposed to determine the effect of magnetic flux on conductance-based …

We present numerical results for the synchronization phenomena in a bilayer network of
repulsively coupled 2D lattices of van der Pol oscillators. We consider the cases when the …