Michelle R. Greene

Stanford University, Palo Alto, CA 
Vision Science
"Michelle Greene"
Mean distance: 14.32 (cluster 23)
Cross-listing: PsychTree

BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
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
Greene MR, Fei-Fei L. (2014) Visual categorization is automatic and obligatory: evidence from Stroop-like paradigm. Journal of Vision. 14
Greene MR. (2013) Statistics of high-level scene context. Frontiers in Psychology. 4: 777
See more...