title: Decoding Rich Spatial Information with High Temporal Resolution.
abstract: New research suggests that magnetoencephalography (MEG) contains rich spatial information for decoding neural states. Even small differences in the angle of neighbouring dipoles generate subtle, but statistically separable field patterns. This implies MEG (and electroencephalography: EEG) is ideal for decoding neural states with high-temporal resolution in the human brain.
authors.affiliation: Department of Experimental Psychology, University of Oxford, Oxford, UK; Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK. Electronic address: mark.stokes@psy.ox.ac.uk.
authors.forename: Mark G
authors.initials: MG
authors.lastname: Stokes
authors.affiliation: Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK; Department of Experimental Psychology, University of Groningen, Groningen, The Netherlands.
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Wolff
authors.affiliation: Department of Experimental Psychology, University of Oxford, Oxford, UK; Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK.
authors.forename: Eelke
authors.initials: E
authors.lastname: Spaak
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D004569:Electroencephalography; D006801:Humans; D015225:Magnetoencephalography; D009949:Orientation / Q000502:physiology*; D010363:Pattern Recognition, Automated
keywords: Neural decoding; electroencephalography; magnetoencephalography; multivariate pattern analysis; orientation tuning; spatiotemporal information