We review the aspects that uniquely characterize magnetoencephalography (MEG) among
the techniques available to explore and resolve brain function and dysfunction. While …

Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

We used convolutional neural networks (CNNs) for automatic sleep stage scoring based on
single-channel electroencephalography (EEG) to learn task-specific filters for classification …

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 …

Exploring EEG alpha oscillations has generated considerable interest, in particular with
regards to the role they play in cognitive, psychomotor, psycho-emotional and physiological …

We developed a machine learning methodology for automatic sleep stage scoring. Our time-
frequency analysis-based feature extraction is fine-tuned to capture sleep stage-specific …

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

In recent years the study of dynamic, between-brain coupling mechanisms has taken social
neuroscience by storm. In particular, interbrain synchrony (IBS) is a putative neural …

Brain-computer interfaces for communication and control Page 1 60 CommunICatIons of the
aCm | MAy 2011 | vOl. 54 | nO. 5 contributed articles It has been known since the pioneering …

Abstract Study Objectives: The goal of the study was to seek physiological correlates of lucid
dreaming. Lucid dreaming is a dissociated state with aspects of waking and dreaming …