Toward a universal decoder of linguistic meaning from brain activation F Pereira, B Lou, B Pritchett, S Ritter, SJ Gershman, N Kanwisher, ... Nature communications 9 (1), 963, 2018 | 357 | 2018 |
Neural correlate of the construction of sentence meaning E Fedorenko, TL Scott, P Brunner, WG Coon, B Pritchett, G Schalk, ... Proceedings of the National Academy of Sciences 113 (41), E6256-E6262, 2016 | 189 | 2016 |
Probabilistic atlas for the language network based on precision fMRI data from> 800 individuals B Lipkin, G Tuckute, J Affourtit, H Small, Z Mineroff, H Kean, O Jouravlev, ... Scientific Data 9 (1), 529, 2022 | 71* | 2022 |
Socioeconomic status and computer science achievement: Spatial ability as a mediating variable in a novel model of understanding MC Parker, A Solomon, B Pritchett, DA Illingworth, LE Marguilieux, ... Proceedings of the 2018 ACM Conference on International Computing Education …, 2018 | 46 | 2018 |
High-level language processing regions are not engaged in action observation or imitation BL Pritchett, C Hoeflin, K Koldewyn, E Dechter, E Fedorenko Journal of neurophysiology 120 (5), 2555-2570, 2018 | 45 | 2018 |
Toward a universal decoder of linguistic meaning from brain activation. Nat Commun 9: 963 F Pereira, B Lou, B Pritchett, S Ritter, SJ Gershman, N Kanwisher, ... | 13 | 2018 |
Decoding of generic mental representations from functional MRI data using word embeddings F Pereira, B Lou, B Pritchett, N Kanwisher, M Botvinick, E Fedorenko BioRxiv, 057216, 2016 | 8 | 2016 |
Decoding of generic mental representations from functional mri data using word embeddings. bioRxiv F Pereira, B Lou, B Pritchett, N Kanwisher, M Botvinick, E Fedorenko | 6 | 2016 |