Characterizing the dynamics of mental representations: the temporal generalization method

Highlights • MVPA is often used to detect static fMRI activation patterns. • Adapting MVPA to time-resolved signals can characterize the dynamics of neural responses. • The temporal generalization matrix reveals a repertoire of canonical brain dynamics.

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Bibliographische Detailangaben
Veröffentlicht in:	Trends in cognitive sciences 2014-04, Vol.18 (4), p.203-210
Hauptverfasser:	King, J-R, Dehaene, S
Format:	Artikel
Sprache:	eng
Schlagworte:	Anatomical correlates of behavior Behavioral psychophysiology Biological and medical sciences Brain - physiology Brain Mapping decoding EEG Electroencephalography Electrophysiology Fundamental and applied biological sciences. Psychology Humans Magnetoencephalography MEG Mental Processes - physiology Methods multivariate pattern analyses Neurology Nonlinear Dynamics parallel processing Psychiatry Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology serial processing temporal generalization
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Beschreibung
Zusammenfassung:	Highlights • MVPA is often used to detect static fMRI activation patterns. • Adapting MVPA to time-resolved signals can characterize the dynamics of neural responses. • The temporal generalization matrix reveals a repertoire of canonical brain dynamics.
ISSN:	1364-6613 1879-307X
DOI:	10.1016/j.tics.2014.01.002