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:
Neural decoding, vision, attention
Website:
http://haxbylab.dartmouth.edu/ppl/sam.html
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"Samuel A. Nastase"
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Publications

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Nguyen M, Chang A, Micciche E, et al. (2021) Teacher-Student Neural Coupling During Teaching and Learning. Social Cognitive and Affective Neuroscience
Levitis E, van Praag CDG, Gau R, et al. (2021) Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective. Gigascience. 10
Wilterson AI, Nastase SA, Bio BJ, et al. (2021) Attention, awareness, and the right temporoparietal junction. Proceedings of the National Academy of Sciences of the United States of America. 118
Wilterson AI, Nastase SA, Bio BJ, et al. (2021) Attention, awareness, and the right temporoparietal junction. Proceedings of the National Academy of Sciences of the United States of America. 118
Gau R, Noble S, Heuer K, et al. (2021) Brainhack: Developing a culture of open, inclusive, community-driven neuroscience. Neuron
Busch EL, Slipski L, Feilong M, et al. (2021) Hybrid Hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. Neuroimage. 117975
Nastase SA, Goldstein A, Hasson U. (2020) Keep it real: rethinking the primacy of experimental control in cognitive neuroscience. Neuroimage. 222: 117254
Haxby JV, Guntupalli JS, Nastase SA, et al. (2020) Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies. Elife. 9
Willems RM, Nastase SA, Milivojevic B. (2020) Narratives for Neuroscience. Trends in Neurosciences. 43: 271-273
Nastase SA, Liu YF, Hillman H, et al. (2020) Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space. Neuroimage. 116865
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