Samuel A. Nastase

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 
Cognitive neuroscience, computational neuroscience
"Samuel A. Nastase"
Mean distance: 14.94 (cluster 38)
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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
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
Zada Z, Goldstein A, Michelmann S, et al. (2023) A shared linguistic space for transmitting our thoughts from brain to brain in natural conversations. Biorxiv : the Preprint Server For Biology
Zadbood A, Nastase S, Chen J, et al. (2022) Neural representations of naturalistic events are updated as our understanding of the past changes. Elife. 11
Chang CHC, Nastase SA, Hasson U. (2022) Information flow across the cortical timescale hierarchy during narrative construction. Proceedings of the National Academy of Sciences of the United States of America. 119: e2209307119
Mennen AC, Nastase SA, Yeshurun Y, et al. (2022) Real-time neurofeedback to alter interpretations of a naturalistic narrative. Neuroimage. Reports. 2
Kumar M, Anderson MJ, Antony JW, et al. (2022) BrainIAK: The Brain Imaging Analysis Kit. Aperture Neuro. 1
Goldstein A, Zada Z, Buchnik E, et al. (2022) Shared computational principles for language processing in humans and deep language models. Nature Neuroscience. 25: 369-380
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