Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …

Deep learning (DL) methods and architectures have been the state-of-the-art classification
algorithms for computer vision and natural language processing problems. However, the …

As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …

We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …

Magnetoencephalographic (MEG) recordings are a rich source of information about the
neural dynamics underlying cognitive processes in the brain, with excellent temporal and …

Psychedelic drugs produce profound changes in consciousness, but the underlying
neurobiological mechanisms for this remain unclear. Spontaneous and induced oscillatory …

Neuronal oscillations of different frequencies can interact in several ways. There has been
particular interest in the modulation of the amplitude of high-frequency oscillations by the …

We have developed a toolbox and graphic user interface, EEGLAB, running under the
crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of …

This paper describes methods to analyze the brain′ s electric fields recorded with
multichannel Electroencephalogram (EEG) and demonstrates their implementation in the …