Samuel A. Nastase
Affiliations: | 2006-2010 | Cognitive Science | Johns Hopkins University, Baltimore, MD |
| 2010-2012 | Center for Mind/Brain Sciences | University of Trento, Trento, Trentino-Alto Adige, Italy | |
| 2012-2018 | Psychological and Brain Sciences | Dartmouth College, Hanover, NH, United States | |
| 2018- | Princeton Neuroscience Institute | Princeton University, Princeton, NJ |
Area:
Cognitive neuroscience, computational neuroscienceWebsite:
https://snastase.github.io/Google:
"Samuel A. Nastase"Mean distance: 14.94 (cluster 38) | S | N | B | C | P |
Parents
Sign in to add mentor| Michael McCloskey | research assistant | 2007-2010 | Johns Hopkins |
| James Haxby | grad student | 2012- | Dartmouth |
| Uri Hasson | grad student | 2010-2012 | University of Trento, Italy |
| Uri Hasson | post-doc | 2018- | Princeton |
| Kenneth A. Norman | post-doc | 2018- | Princeton |
Collaborators
Sign in to add collaborator| Christopher A. Baldassano | collaborator | Columbia | |
| Andrew C. Connolly | collaborator | Dartmouth | |
| M. Ida Gobbini | collaborator | Dartmouth | |
| Thomas L. Griffiths | collaborator | Princeton | |
| Christian M. Keysers | collaborator | Netherlands Institute for Neuroscience | |
| Jonathan Pillow | collaborator | Princeton | |
| Nicholas B. Turk-Browne | collaborator | Yale | |
| Matteo Visconti di Oleggio Castello | collaborator | Dartmouth | |
| J Swaroop S. Guntupalli | collaborator | 2012- | Dartmouth |
| Yaroslav O. Halchenko | collaborator | 2012- | Dartmouth |
| Nikolaas N. Oosterhof | collaborator | 2012- | Dartmouth |
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 |
| 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 |
| 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 |
| Feilong M, Nastase SA, Jiahui G, et al. (2023) The individualized neural tuning model: Precise and generalizable cartography of functional architecture in individual brains. Imaging Neuroscience (Cambridge, Mass.). 1 |
| Jiahui G, Feilong M, Nastase SA, et al. (2023) Cross-movie prediction of individualized functional topography. Elife. 12 |
| 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 |
| Jiahui G, Feilong M, Visconti di Oleggio Castello M, et al. (2023) Modeling naturalistic face processing in humans with deep convolutional neural networks. Proceedings of the National Academy of Sciences of the United States of America. 120: e2304085120 |