Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …

A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …

Mounting evidence suggests that during conscious states, the electrodynamics of the cortex
are poised near a critical point or phase transition and that this near-critical behavior …

Epilepsy is an electrophysiological disorder of the brain, characterized by recurrent seizures.
Electroencephalogram (EEG) is a test that measures and records the electrical activity of the …

Over the past two decades scientists, mathematicians, and engineers have come to
understand that a large variety of systems exhibit complicated evolution with time. This …

The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …

The aim of this study is to detect epileptic seizure in EEG signals using a hybrid system
based on decision tree classifier and fast Fourier transform (FFT). The present study …

The electroencephalogram (EEG) is a representative signal containing information about the
condition of the brain. The shape of the wave may contain useful information about the state …

Recently, there has been a coordinated effort from academic institutions and the
pharmaceutical industry to identify biomarkers that can predict responses to immune …

The search for chaotic patterns has occupied numerous investigators in neuroscience, as in
many other fields of science. Their results and main conclusions are reviewed in the light of …