Decoding Rich Spatial Information with High Temporal Resolution

Mark G Stokes; Michael J Wolff; Eelke Spaak

doi:10.1016/j.tics.2015.08.016

Decoding Rich Spatial Information with High Temporal Resolution

Trends Cogn Sci. 2015 Nov;19(11):636-638. doi: 10.1016/j.tics.2015.08.016. Epub 2015 Oct 1.

Authors

Mark G Stokes¹, Michael J Wolff², Eelke Spaak³

Affiliations

¹ 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.
² Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK; Department of Experimental Psychology, University of Groningen, Groningen, The Netherlands.
³ Department of Experimental Psychology, University of Oxford, Oxford, UK; Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK.

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.

Keywords: Neural decoding; electroencephalography; magnetoencephalography; multivariate pattern analysis; orientation tuning; spatiotemporal information.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Brain / physiology*
Brain Mapping*
Electroencephalography
Humans
Magnetoencephalography
Orientation / physiology*
Pattern Recognition, Automated*

Grants and funding

Biotechnology and Biological Sciences Research Council/United Kingdom