Brain data recorded with electroencephalography (EEG), magnetoencephalography (MEG)
and related techniques often have poor signal-to-noise ratios due to the presence of multiple …

We review recent methodological developments within a parametric empirical Bayesian
(PEB) framework for reconstructing intracranial sources of extracranial …

This chapter focuses on the imaging (or distributed) method for implementing EEG/MEG
source reconstruction in SPM. This approach results in a spatial projection of sensor data …

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

Bayesian model selection (BMS) is a powerful method for determining the most likely among
a set of competing hypotheses about the mechanisms that generated observed data. BMS …

SPM is a free and open source software written in MATLAB (The MathWorks, Inc.). In
addition to standard M/EEG preprocessing, we presently offer three main analysis tools:(i) …

A striking feature of human perception is that our subjective experience depends not only on
sensory information from the environment but also on our prior knowledge or expectations …

Moments of insight, a phenomenon of creative cognition in which an idea suddenly emerges
into awareness as an “Aha!” are often reported to be affectively positive experiences. We …

Due to capacity limits on perception, conditions of high perceptual load lead to reduced
processing of unattended stimuli. Accumulating work demonstrates the effects of visual …

We describe data acquired with multiple functional and structural neuroimaging modalities
on the same nineteen healthy volunteers. The functional data include …