Shared computational principles for language processing in humans and deep language models A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ... Nature neuroscience 25 (3), 369-380, 2022 | 271* | 2022 |
Moment-by-moment tracking of naturalistic learning and its underlying hippocampo-cortical interactions S Michelmann, AR Price, B Aubrey, CK Strauss, WK Doyle, D Friedman, ... Nature communications 12 (1), 5394, 2021 | 37 | 2021 |
Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain A Goldstein, E Ham, SA Nastase, Z Zada, A Grinstein-Dabus, B Aubrey, ... BioRxiv, 2022.07. 11.499562, 2022 | 16 | 2022 |
Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain A Goldstein, A Dabush, B Aubrey, M Schain, SA Nastase, Z Zada, E Ham, ... BioRxiv, 2022.03. 01.482586, 2022 | 8 | 2022 |
Deep speech-to-text models capture the neural basis of spontaneous speech in everyday conversations A Goldstein, H Wang, L Niekerken, Z Zada, B Aubrey, T Sheffer, ... bioRxiv, 2023.06. 26.546557, 2023 | 3 | 2023 |
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns A Goldstein, A Grinstein-Dabush, M Schain, H Wang, Z Hong, B Aubrey, ... Nature communications 15 (1), 2768, 2024 | | 2024 |
Aligning Brains into a Shared Space Improves Their Alignment to Large Language Model A BHATTACHARJEE, Z Zada, H Wang, B Aubrey, S Nastase, WK Doyle, ... | | 2023 |