Michelle R. Greene

Stanford University, Palo Alto, CA 
Vision Science
"Michelle Greene"
Cross-listing: Neurotree


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Irving Biederman research assistant USC (Neurotree)
Aude Oliva grad student MIT (Neurotree)
Li Fei-Fei post-doc Stanford (Neurotree)
Jeremy M. Wolfe post-doc Brigham & Women's Hospital (Neurotree)
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Groen II, Greene MR, Baldassano C, et al. (2018) Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior. Elife. 7
Vessel EA, Biederman I, Subramaniam S, et al. (2016) Effective signaling of surface boundaries by L-vertices reflect the consistency of their contrast in natural images. Journal of Vision. 16: 15
Iordan MC, Greene MR, Beck DM, et al. (2016) Typicality sharpens category representations in object-selective cortex. Neuroimage
Greene MR. (2016) Estimations of object frequency are frequently overestimated. Cognition. 149: 6-10
Greene MR, Baldassano C, Esteva A, et al. (2016) Visual scenes are categorized by function. Journal of Experimental Psychology. General. 145: 82-94
Greene MR. (2015) Kveraga & Bar: Scene Vision. Perception. 44: 1233-5
Greene M, Baldassano C, Esteva A, et al. (2015) Functions Provide a Fundamental Categorization Principle for Scenes. Journal of Vision. 15: 572
Iordan MC, Greene M, Beck D, et al. (2015) Category Boundaries and Typicality Warp the Neural Representation Space of Real-World Object Categories. Journal of Vision. 15: 8
Iordan MC, Greene MR, Beck DM, et al. (2015) Basic Level Category Structure Emerges Gradually across Human Ventral Visual Cortex. Journal of Cognitive Neuroscience. 27: 1427-46
Greene MR, Botros AP, Beck DM, et al. (2015) What you see is what you expect: rapid scene understanding benefits from prior experience. Attention, Perception & Psychophysics. 77: 1239-51
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