RT Journal Article
SR Electronic
T1 Decoding of generic mental representations from functional MRI data using word embeddings
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 057216
DO 10.1101/057216
A1 Francisco Pereira
A1 Bin Lou
A1 Brianna Pritchett
A1 Nancy Kanwisher
A1 Matthew Botvinick
A1 Evelina Fedorenko
YR 2016
UL http://biorxiv.org/content/early/2016/06/07/057216.abstract
AB Several different groups have demonstrated the feasibility of building forward models of functional MRI data in response to concrete stimuli such as pictures or video, and of using these models to decode or reconstruct stimuli shown while acquiring test fMRI data. In this paper, we introduce an approach for building forward models of conceptual stimuli, concrete or abstract, and for using these models to carry out decoding of semantic information from new imaging data. We show that this approach generalizes to topics not seen in training, and provides a straightforward path to decoding from more complex stimuli such as sentences or paragraphs.