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Cerebral Cortex (New York, N.Y. : 1991)|June 21, 2006
A comparative study of shape representation in macaque visual areas v2 and v4Jay Hegdé, David C Van EssenJournal of Neurophysiology|June 18, 2004
Temporal dynamics of shape analysis in macaque visual area V2Jay Hegdé, David C Van EssenVisual Neuroscience|October 23, 2003
Strategies of shape representation in macaque visual area V2Jay Hegdé, David C Van EssenJournal of Neurophysiology|September 3, 2004
Stimulus dependence of disparity coding in primate visual area V4Jay Hegdé, David C Van EssenVisual Neuroscience|October 6, 2006
Temporal dynamics of 2D and 3D shape representation in macaque visual area V4Jay Hegdé, David C Van EssenJournal of Neurophysiology|July 1, 2005
Role of primate visual area V4 in the processing of 3-D shape characteristics defined by disparityJay Hegdé, David C Van EssenProgress in Neurobiology|November 3, 2007
Time course of visual perception: coarse-to-fine processing and beyondJay HegdéJournal of Medical Imaging (Bellingham, Wash.)|February 12, 2020
Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: a proof-of-principle studyJay HegdéJournal of Neurophysiology|June 26, 2009
How reliable is the pattern adaptation technique? A modeling studyJay HegdéPageof 16