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Dustin E. Stansbury

Affiliations: 
University of California, Berkeley, Berkeley, CA, United States 
Area:
Visual System
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"Dustin Stansbury"
Mean distance: 14.03 (cluster 23)
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Parents

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Adrian Daw research assistant 2004-2005 Appalachian State University
Kenneth Steele research assistant 2004-2005 Appalachian State University
Jack L. Gallant grad student 2008-2014 UC Berkeley
 (Modeling neural representation using statistical features of natural scenes.)

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Publications

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Abdel-Ghaffar SA, Huth AG, Lescroart MD, et al. (2024) Occipital-temporal cortical tuning to semantic and affective features of natural images predicts associated behavioral responses. Nature Communications. 15: 5531
Lescroart MD, Stansbury DE, Gallant JL. (2015) Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas. Frontiers in Computational Neuroscience. 9: 135
Naselaris T, Olman CA, Stansbury DE, et al. (2015) A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes. Neuroimage. 105: 215-28
Abdel-Ghaffar S, Gallant J, Huth A, et al. (2015) Using voxel-wise encoding models to study occipito-temporal representations of the animacy, semantic and affective content of natural images. Journal of Vision. 15: 508
Stansbury DE, Gallant JL. (2014) A statistical modeling framework for investigating visual scene processing in the human brain Scene Vision: Making Sense of What We See. 225-240
Stansbury DE, Naselaris T, Gallant JL. (2013) Natural scene statistics account for the representation of scene categories in human visual cortex. Neuron. 79: 1025-34
Naselaris T, Stansbury DE, Gallant JL. (2012) Cortical representation of animate and inanimate objects in complex natural scenes. Journal of Physiology, Paris. 106: 239-49
Stansbury D, Naselaris T, Vu A, et al. (2010) Visual cortex represents the statistical distributions of objects in natural scenes Journal of Vision. 10: 1260-1260
Gallant J, Naselaris T, Prenger R, et al. (2009) Bayesian reconstruction of perceptual experiences from human brain activity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5638: 390-393
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