Multisubject, multimodal face processing

UC San Diego 2026 Dataset Open access

Read full text
Authors: DG Wakeman, Richard N. Henson
DOI: 10.82901/nemar.on000117.v1.0.0
Cited by: 0

Abstract

A multimodal neuroimaging dataset comprising structural MRI, functional MRI, MEG, and EEG recordings from 16 subjects during a face recognition task. The dataset includes three stimulus categories (famous faces, unfamiliar faces, and scrambled faces) presented in initial and repeated conditions, enabling investigation of neural mechanisms underlying face processing and repetition effects across multiple imaging modalities.

Fields of Study & Subjects

Face Recognition and Perception Face recognition and analysis Neural and Behavioral Psychology Studies

Publication details

Journal / source
UC San Diego
Publication date
10 July 2026
Language
EN
Document type
Dataset