Uri Hasson
Affiliations: | Princeton University, Princeton, NJ |
Area:
Cognitive neuroscienceWebsite:
https://weblamp.princeton.edu/~psych/psychology/research/hasson/index.phpGoogle:
"Uri Hasson"Mean distance: 13.44 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Rafael Malach | grad student | 1998-2004 | Weizmann Institute |
| David J. Heeger | post-doc | NYU |
Children
Sign in to add trainee| Christopher R. Thompson | research assistant | 2009- | Princeton |
| Mor Regev | grad student | 2011- | Princeton |
| Qihong Lu | grad student | 2017- | Princeton |
| Elise Piazza | post-doc | ||
| Yara Yeshurun | post-doc | Princenton | |
| Janice Chen | post-doc | 2012- | Princeton |
| Samuel A. Nastase | post-doc | 2018- | Princeton |
| Yulia Lerner | post-doc | 2009-2011 | Princeton |
| Christopher J. Honey | post-doc | 2009-2013 | Princeton |
| Christopher A. Baldassano | post-doc | 2015-2018 | Princeton |
BETA: Related publications
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Publications
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| Tikochinski R, Goldstein A, Meiri Y, et al. (2025) Incremental accumulation of linguistic context in artificial and biological neural networks. Nature Communications. 16: 803 |
| Notaro G, Hasson U. (2025) Quantifying sighting dominance using on-display projections of monocular and binocular views. Behavior Research Methods. 57: 52 |
| Goldstein A, Grinstein-Dabush A, Schain M, et al. (2024) Author Correction: Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns. Nature Communications. 15: 8500 |
| Chang CHC, Nastase SA, Zadbood A, et al. (2024) How a speaker herds the audience: multi-brain neural convergence over time during naturalistic storytelling. Social Cognitive and Affective Neuroscience |
| Zada Z, Goldstein A, Michelmann S, et al. (2024) A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations. Neuron |
| Lu Q, Nguyen TT, Zhang Q, et al. (2024) Reconciling shared versus context-specific information in a neural network model of latent causes. Scientific Reports. 14: 16782 |
| Koba C, Crimi A, Collignon O, et al. (2024) Neural networks associated with eye movements in congenital blindness. The European Journal of Neuroscience |
| Hong Z, Wang H, Zada Z, et al. (2024) Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language. Biorxiv : the Preprint Server For Biology |
| Kumar S, Sumers TR, Yamakoshi T, et al. (2024) Shared functional specialization in transformer-based language models and the human brain. Nature Communications. 15: 5523 |
| Sievers B, Welker C, Hasson U, et al. (2024) Consensus-building conversation leads to neural alignment. Nature Communications. 15: 3936 |