Samuel A. Nastase
Samuel A. Nastase
Postdoctoral researcher, Princeton University
princeton.edu의 이메일 확인됨 - 홈페이지
Measuring shared responses across subjects using intersubject correlation
SA Nastase, V Gazzola, U Hasson, C Keysers
Social Cognitive and Affective Neuroscience 14 (6), 667-685, 2019
Direct fit to nature: an evolutionary perspective on biological and artificial neural networks
U Hasson, SA Nastase, A Goldstein
Neuron 105 (3), 416-434, 2020
Attention selectively reshapes the geometry of distributed semantic representation
SA Nastase, AC Connolly, NN Oosterhof, YO Halchenko, JS Guntupalli, ...
Cerebral Cortex 27 (8), 4277-4291, 2017
Uncertainty in visual and auditory series is coded by modality‐general and modality‐specific neural systems
SA Nastase, V Iacovella, U Hasson
Human Brain Mapping 35 (4), 1111-1128, 2014
How the human brain represents perceived dangerousness or “predacity” of animals
AC Connolly, L Sha, JS Guntupalli, N Oosterhof, YO Halchenko, ...
Journal of Neuroscience 36 (19), 5373-5384, 2016
Keep it real: rethinking the primacy of experimental control in cognitive neuroscience
SA Nastase, A Goldstein, U Hasson
NeuroImage 222, 117254, 2020
Hyperalignment: modeling shared information encoded in idiosyncratic cortical topographies
JV Haxby, JS Guntupalli, SA Nastase, M Feilong
eLife 9, e56601, 2020
Reliable individual differences in fine-grained cortical functional architecture
M Feilong, SA Nastase, JS Guntupalli, JV Haxby
NeuroImage 183, 375-386, 2018
Narratives for neuroscience
RM Willems, SA Nastase, B Milivojevic
Trends in Neurosciences 43 (5), 271-273, 2020
Modeling semantic encoding in a common neural representational space
CE Van Uden, SA Nastase, AC Connolly, M Feilong, I Hansen, MI Gobbini, ...
Frontiers in Neuroscience 12, 437, 2018
Naturalistic stimuli reveal a dominant role for agentic action in visual representation
JV Haxby, MI Gobbini, SA Nastase
Neuroimage 216, 116561, 2020
Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space
SA Nastase, YF Liu, H Hillman, KA Norman, U Hasson
NeuroImage 217, 116865, 2020
Narratives: fMRI data for evaluating models of naturalistic language comprehension
SA Nastase, YF Liu, H Hillman, A Zadbood, L Hasenfratz, N Keshavarzian, ...
bioRxiv, 2020
Data-efficient mutual information neural estimator
X Lin, I Sur, SA Nastase, A Divakaran, U Hasson, MR Amer
arXiv preprint arXiv:1905.03319, 2019
Structural Basis of Semantic Memory
SA Nastase, JV Haxby
Learning and Memory: A Comprehensive Reference (Second Edition), 133-151, 2017
Connectivity in the human brain dissociates entropy and complexity of auditory inputs
SA Nastase, V Iacovella, B Davis, U Hasson
NeuroImage 108, 292-300, 2015
Neural responses to naturalistic clips of behaving animals in two different task contexts
SA Nastase, YO Halchenko, AC Connolly, MI Gobbini, JV Haxby
Frontiers in Neuroscience 12, 316, 2018
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ...
Neuron 109 (11), 1769-1775, 2021
Teacher-student neural coupling during teaching and learning
M Nguyen, A Chang, E Micciche, M Meshulam, SA Nastase, U Hasson
bioRxiv, 2020
Cross-modal searchlight classification: methodological challenges and recommended solutions
SA Nastase, B Davis, YO Halchenko, U Hasson
2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2016
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