Multivariate pattern analysis (MVPA) or brain decoding methods have become standard
practice in analyzing fMRI data. Although decoding methods have been extensively applied …

Parsing a cognitive task into a sequence of operations is a central problem in cognitive
neuroscience. We argue that a major advance is now possible owing to the application of …

MEG-EEG Primer presents the basic A-to-Z of two non-invasive human electrophysiological
methods, magnetoencephalography (MEG) and electroencephalography (EEG). These …

Magnetoencephalography (MEG) records weak magnetic fields outside the human head
and thereby provides millisecond-accurate information about neuronal currents supporting …

Behavior relies on the distributed and coordinated activity of neural populations. Population
activity can be measured using multi-neuron recordings and neuroimaging. Neural …

Cognitive neuroscience questions are commonly tested with experiments that involve a
cohort of subjects. The cohort can consist of a handful of subjects for small studies to …

Visual object recognition is a complex, dynamic process. Multivariate pattern analysis
methods, such as decoding, have begun to reveal how the brain processes complex visual …

Patterns of brain activity contain meaningful information about the perceived world. Recent
decades have welcomed a new era in neural analyses, with computational techniques from …

After the presentation of a visual stimulus, neural processing cascades from low-level
sensory areas to increasingly abstract representations in higher-level areas. It is often …

New research suggests that magnetoencephalography (MEG) contains rich spatial
information for decoding neural states. Even small differences in the angle of neighbouring …