Reliability and Generalizability of Similarity-Based Fusion of MEG and fMRI Data in Human Ventral and Dorsal Visual Streams.

Mohsenzadeh, Yalda; Mullin, Caitlin; Lahner, Benjamin; Cichy, Radoslaw Martin; Oliva, Aude

Mohsenzadeh, Yalda; Mullin, Caitlin; Lahner, Benjamin; Cichy, Radoslaw Martin; Oliva, Aude.

Afiliación

Mohsenzadeh Y; Computer Science and AI Lab., Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Mullin C; Computer Science and AI Lab., Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Lahner B; Computer Science and AI Lab., Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Cichy RM; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Oliva A; Department of Education and Psychology, Freie Universität Berlin, Berlin 14195, Germany.

Vision (Basel) ; 3(1)2019 Feb 10.

Article en En | MEDLINE | ID: mdl-31735809

Palabras clave

MEG; dorsal and ventral streams; fMRI; multivariate pattern analysis; representational similarity analysis; spatiotemporal neural dynamics; vision

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Vision (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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