Decoding Rich Spatial Information with High Temporal Resolution

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 f...

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Detalles Bibliográficos
Autores principales: Stokes, Mark G., Wolff, Michael J., Spaak, Eelke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2015
Materias:
Spotlight
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636428/
https://www.ncbi.nlm.nih.gov/pubmed/26440122
http://dx.doi.org/10.1016/j.tics.2015.08.016
Descripción
Sumario: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.

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