A complete understanding of the brain requires an integrated description of the numerous
scales and levels of neural organization. This means studying the interplay of genes and …

Modern recording technologies now enable simultaneous recording from large numbers of
neurons. This has driven the development of new statistical models for analyzing and …

Synchronization has an important role in neural networks dynamics that is mostly
accompanied by cognitive activities such as memory, learning, and perception. These …

Coupled limit cycle oscillators with pairwise interactions are known to depict phase
transitions from an oscillatory state to amplitude or oscillation death. This Research Letter …

Objective. Significant progress has been made in the past two decades to considerably
improve the performance of steady-state visual evoked potential (SSVEP)-based brain …

We propose a modified Fitzhugh-Nagumo neuron (MFNN) model. Based on this model, an
integer-order MFNN system (case A) and a fractional-order MFNN system (case B) were …

Growing evidence suggests that excitatory neurons in the brain play a significant role in
seizure generation. Nonetheless, spiny stellate cells are cortical excitatory non-pyramidal …

Real time seizure detection is a fundamental problem in computational neuroscience
towards diagnosis and treatment's improvement of epileptic disease. We propose a real-time …

Spike and wave discharges are the main electrographic characteristic of a number of
epileptic brain disorders including childhood absence epilepsy and photosensitive epilepsy …

Detection of epileptic seizures is a major challenge of these days. There are lots of papers
which pay their attention to this subject. Recently, some dynamical disease with attacks such …