In recent years high-frequency brain activity in the gamma-frequency band (30–80 Hz) and
above has become the focus of a growing body of work in MEG/EEG research …

In order to understand the working brain as a network, it is essential to identify the
mechanisms by which information is gated between regions. We here propose that …

Abstract Machine learning techniques are increasingly used in neuroscience to classify
brain signals. Decoding performance is reflected by how much the classification results …

Background Periodic stimulation of occipital areas using transcranial alternating current
stimulation (tACS) at alpha (α) frequency (8–12 Hz) enhances electroencephalographic …

In contrast to scalp EEG, our knowledge of the normal physiological intracranial EEG activity
is scarce. This multicentre study provides an atlas of normal intracranial EEG of the human …

A fundamental question in neuroscience concerns the relation between the spiking of
individual neurons and the aggregate electrical activity of neuronal ensembles as seen in …

Human intracranial EEG (iEEG) recordings are primarily performed in epileptic patients for
presurgical map**. When patients perform cognitive tasks, iEEG signals reveal high …

Epilepsy is one of the most frequent neurological diseases. In focal medically refractory
epilepsies, successful surgical treatment largely depends on the identification of …

Magnetoencephalography (MEG), with its direct view to the cortex through the magnetically
transparent skull, has developed from its conception in physics laboratories to a powerful …

Children born very prematurely (⩽ 32 weeks) often exhibit visual-perceptual difficulties at
school-age, even in the absence of major neurological impairment. The alterations in …