Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …

Neural activity and behavior are both notoriously variable, with responses differing widely
between repeated presentation of identical stimuli or trials. Recent results in humans and …

Deep learning with convolutional neural networks (deep ConvNets) has revolutionized
computer vision through end‐to‐end learning, that is, learning from the raw data. There is …

Brain activity observed at many spatiotemporal scales exhibits a 1/f-like power spectrum,
including neuronal membrane potentials, neural field potentials, noninvasive …

Traditionally studies of brain function have focused on task-evoked responses. By their very
nature such experiments tacitly encourage a reflexive view of brain function. While such an …

Resting-state signals in blood-oxygenation-level-dependent (BOLD) imaging are used to
parcellate brain regions and define" functional connections" between regions. Yet a …

Recent studies suggest that cross-frequency coupling (CFC) might play a functional role in
neuronal computation, communication and learning. In particular, the strength of phase …

An understanding of how the human brain produces cognition ultimately depends on
knowledge of large-scale brain organization. Although it has long been assumed that …

A broad body of experimental work has demonstrated that apparently spontaneous brain
activity is not random. At the level of large-scale neural systems, as measured with functional …

Recent years of research have shown that the complex temporal structure of ongoing
oscillations is scale-free and characterized by long-range temporal correlations. Detrended …