Uri Hasson
Affiliations: | University of Trento, Trento, Trentino-Alto Adige, Italy |
Area:
Cognition, neuroimagingWebsite:
http://www.hasson.orgGoogle:
"Uri Hasson"Mean distance: 14.24 (cluster 38) | S | N | B | C | P |
Parents
Sign in to add mentorSam Glucksberg | grad student | Princeton (PsychTree) | ||
Phil Johnson-Laird | grad student | 2004 | Princeton | |
(The role of reasoning in the resolution of inconsistencies.) | ||||
Howard Charles Nusbaum | post-doc | Chicago | ||
Steven L. Small | post-doc | Chicago |
Children
Sign in to add traineeSamuel A. Nastase | grad student | 2010-2012 | University of Trento, Italy |
Lauren J. Silbert | grad student | 2014 | Princeton |
Krishna P. Miyapuram | post-doc | University of Trento |
BETA: Related publications
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Publications
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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 |
Goldstein A, Grinstein-Dabush A, Schain M, et al. (2024) Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns. Nature Communications. 15: 2768 |
Chang CHC, Nastase SA, Hasson U. (2023) How a speaker herds the audience: Multi-brain neural convergence over time during naturalistic storytelling. Biorxiv : the Preprint Server For Biology |