https://zaidzada.com/ Zaid Zada's feed 2026-02-19T09:28:50-05:00 Zaid Zada https://doi.org/10.31234/osf.io/5ygkj_v1 fMRI hyperscanning reveals widespread neural coupling during natural conversations 2025-11-14T00:00:00Z
Mwilambwe-Tshilobo, L., Tsoi, L., Speer, S., Zada, Z., Burns, S. M., Falk, E. B., & Tamir, D. (2025). fMRI hyperscanning reveals widespread neural coupling during natural conversations. PsyArXiv.
https://doi.org/10.48550/arXiv.2506.20489 Brains and language models converge on a shared conceptual space across different languages 2025-06-25T00:00:00Z
Zada, Z., Nastase, S., Li, J., & Hasson, U. (2025). Brains and language models converge on a shared conceptual space across different languages. arXiv.
https://doi.org/10.1101/2025.06.02.657491 Cortical language areas are coupled via a soft hierarchy of model-based linguistic features 2025-06-03T00:00:00Z
Samara, A., Zada, Z., Vanderwal, T., Hasson, U., & Nastase, S. (2025). Cortical language areas are coupled via a soft hierarchy of model-based linguistic features. bioRxiv.
https://doi.org/10.1101/2024.08.27.609946 Information-making processes in the speaker's brain drive human conversations forward 2024-08-28T00:00:00Z
Goldstein, A., Wang, H., Sheffer, T., Schain, M., Zada, Z., Niekerken, L., Aubrey, B., Nastase, S. A., Gazula, H., Casto, C., Doyle, W. K., Friedman, D., Devore, S., Dugan, P., Hassidim, A., Brenner, M., Matias, Y., Devinsky, O., Flinker, A., & Hasson, U. (2024). Information-making processes in the speaker's brain drive human conversations forward. bioRxiv.
https://doi.org/10.1162/IMAG.a.1116 Context modulates brain state dynamics and behavioral responses during narrative comprehension 2026-01-08T00:00:00Z
Chen, Y., Zada, Z., Nastase, S. A., Ashby, F. G., & Ghosh, S. S. (2026). Context modulates brain state dynamics and behavioral responses during narrative comprehension. Imaging Neuroscience, 4, IMAG.a.1116.
https://doi.org/10.1016/j.neuron.2025.11.004 Linguistic coupling between neural systems for speech production and comprehension during real-time dyadic conversations 2026-02-18T00:00:00Z
Zada, Z., Nastase, S. A., Speer, S., Mwilambwe-Tshilobo, L., Tsoi, L., Burns, S. M., Falk, E., Hasson, U., & Tamir, D. I. (2026). Linguistic coupling between neural systems for speech production and comprehension during real-time dyadic conversations. Neuron, 114(4), 774-787.e5.
https://doi.org/10.1038/s41467-025-65518-0 Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models 2025-11-26T00:00:00Z
Goldstein, A.*, Ham, E.*, Schain, M., Nastase, S. A., Aubrey, B., Zada, Z., Grinstein-Dabush, A., Gazula, H., Feder, A., Doyle, W., Devore, S., Dugan, P., Friedman, D., Brenner, M., Hassidim, A., Matias, Y., Devinsky, O., Siegelman, N., Flinker, A., … Hasson, U. (2025). Temporal structure of natural language processing in the human brain corresponds to layered hierarchy of large language models. Nature Communications, 16(1), 10529.
https://doi.org/10.1038/s43588-025-00900-y Aligning brains into a shared space improves their alignment with large language models 2025-11-18T00:00:00Z
Bhattacharjee, A., Zada, Z., Wang, H., Aubrey, B., Doyle, W., Dugan, P., Friedman, D., Devinsky, O., Flinker, A., Ramadge, P. J., Hasson, U., Goldstein, A., & Nastase, S. A. (2025). Aligning brains into a shared space improves their alignment with large language models. Nat Comput Sci.
https://doi.org/10.1038/s41539-025-00337-y Reading comprehension in L1 and L2 readers: Neurocomputational mechanisms revealed through large language models 2025-07-10T00:00:00Z
Gu, C., Nastase, S. A., Zada, Z., & Li, P. (2025). Reading comprehension in L1 and L2 readers: Neurocomputational mechanisms revealed through large language models. Npj Science of Learning, 10(1), 46.
https://doi.org/10.1038/s41597-025-05462-2 The “Podcast” ECoG dataset for modeling neural activity during natural narrative comprehension 2025-07-03T00:00:00Z
Zada, Z., Nastase, S. A., Aubrey, B., Jalon, I., Michelmann, S., Wang, H., Hasenfratz, L., Doyle, W., Friedman, D., Dugan, P., Melloni, L., Devore, S., Flinker, A., Devinsky, O., Goldstein, A., & Hasson, U. (2025). The “Podcast” ECoG dataset for modeling neural activity during natural narrative comprehension. Sci Data, 12(1), 1135.
https://doi.org/10.1038/s41562-025-02105-9 A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations 2025-03-07T00:00:00Z
Goldstein, A., Wang, H.*, Niekerken, L.*, Schain, M.*, Zada, Z.*, Aubrey, B.*, Sheffer, T.*, Nastase, S. A.*, Gazula, H., Singh, A., Rao, A., Choe, G., Kim, C., Doyle, W., Friedman, D., Devore, S., Dugan, P., Hassidim, A., Brenner, M., … Hasson, U. (2025). A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations. Nature Human Behavior, 9(5), 1041-1055.
https://doi.org/10.1523/JNEUROSCI.2233-24.2025 In search of a neural mechanism for domain-general value comparison in decision making 2025-02-12T00:00:00Z
Samara, A.*, & Zada, Z.* (2025). In search of a neural mechanism for domain-general value comparison in decision making. The Journal of Neuroscience, 45(7), e2233242025.
https://doi.org/10.1016/j.neuron.2024.06.025 A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations 2024-08-02T00:00:00Z
Zada, Z., Goldstein, A., Michelmann, S., Simony, E., Price, A., Hasenfratz, L., Barham, E., Zadbood, A., Doyle, W., Friedman, D., Dugan, P., Melloni, L., Devore, S., Flinker, A., Devinsky, O., Nastase, S. A.*, & Hasson, U.* (2024). A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations. Neuron, 112(18), 3211-3222.e5.
https://doi.org/10.1038/s41467-024-46631-y Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns 2024-03-30T00:00:00Z
Goldstein, A., Grinstein-Dabush, A., Schain, M., Wang, H., Hong, Z., Aubrey, B., Schain, M., Nastase, S. A., Zada, Z., Ham, E., Feder, A., Gazula, H., Buchnik, E., Doyle, W., Devore, S., Dugan, P., Reichart, R., Friedman, D., Brenner, M., … Hasson, U. (2024). Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns. Nature Communications, 15(1), 2768.
https://doi.org/10.1038/s41593-022-01026-4 Shared computational principles for language processing in humans and deep language models 2022-03-07T00:00:00Z
Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanuel, D., Cohen, A., Jansen, A., Gazula, H., Choe, G., Rao, A., Kim, C., Casto, C., Fanda, L., Doyle, W., Friedman, D., … Hasson, U. (2022). Shared computational principles for language processing in humans and deep language models. Nature Neuroscience, 25(3), 369-380.
https://doi.org/10.7554/eLife.101204.1 Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language 2024-10-22T00:00:00Z
Hong, Z.*, Wang, H.*, Zada, Z., Gazula, H., Turner, D., Aubrey, B., Niekerken, L., Doyle, W., Devore, S., Dugan, P., Friedman, D., Devinsky, O., Flinker, A., Hasson, U., Nastase, S. A., & Goldstein, A. (2024). Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language. eLife 13:RP101204.