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 | 301* | 2022 |
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 | 20 | 2022 |
Thinking ahead: prediction in context as a keystone of language in humans and machines. bioRxiv A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ... | 8 | 2021 |
A shared linguistic space for transmitting our thoughts from brain to brain in natural conversations Z Zada, A Goldstein, S Michelmann, E Simony, A Price, L Hasenfratz, ... bioRxiv, 2023 | 7 | 2023 |
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 | 7 | 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 | 4 | 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 | 3 | 2024 |
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models A Goldstein, E Ham, M Schain, S Nastase, Z Zada, A Dabush, B Aubrey, ... arXiv preprint arXiv:2310.07106, 2023 | 2 | 2023 |
Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language Z Hong, K Wang, Z Zada, H Gazula, D Turner, B Aubrey, L Niekerken, ... bioRxiv, 2024.06. 12.598513, 2024 | | 2024 |
ALIGNING BRAINS INTO A SHARED SPACE IMPROVES THEIR ALIGNMENT TO LARGE LANGUAGE MODELS A Bhattacharjee, Z Zada, H Wang, B Aubrey, W Doyle, P Dugan, ... bioRxiv, 2024.06. 04.597448, 2024 | | 2024 |
Larger Language Models Better Predict Neural Activity During Natural Language Processing Z Hong, H Wang, Z Zada, H Gazula, B Aubrey, W Doyle, S Devore, ... | | |
Brain-to-Brain Linguistic Coupling in Natural Conversations Z Zada, S Nastase, A Goldstein, U Hasson | | |