Nicholas Alexander

AUC area under curve BSD Bayesian spectral decomposition DCM Dynamic causal modelling EEG electroencephalographyFOOOF GLM general linear model PEB parametric empirical Bayes ROC receiver operating characteristic SNR signal-to-noise ratio SPM statistical parametric mapping 1 Introduction The spectral density of electrophysiological signals represents neurophysiological processes as a combination of rhythmic oscillations and aperiodic power with apparent scale-free behaviour (Donoghue et al.

Abstract Neuroimaging studies have typically relied on rigorously controlled experimental paradigms to probe cognition, in which movement is restricted, primitive, an afterthought or merely used to indicate a subject's choice. Whilst powerful, these paradigms do not often resemble how we behave in everyday life, so a new generation of ecologically valid experiments are being developed. Magnetoencephalography (MEG) measures neural activity by sensing extracranial magnetic fields.