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Jay Hegdé

Showing results (1-10 of 38) with videos related to

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Progress in Neurobiology|November 3, 2007
Time course of visual perception: coarse-to-fine processing and beyondJay Hegdé
Journal 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 Hegdé
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 5, 2006
Search for the neural correlates of learning to discriminate orientationsJay Hegdé
Comprehensive Physiology|July 7, 2018
Neural Mechanisms of High-Level VisionJay Hegdé
Journal of Neurophysiology|June 26, 2009
How reliable is the pattern adaptation technique? A modeling studyJay Hegdé
Frontiers in Computational Neuroscience|April 2, 2019
Editorial: Deep Learning in Biological, Computer, and Neuromorphic SystemsEvgeniy Bart, Jay Hegdé
Frontiers in Computational Neuroscience|September 1, 2012
Invariant object recognition based on extended fragmentsEvgeniy Bart, Jay Hegdé
Frontiers in Computational Neuroscience|September 1, 2012
Invariant recognition of visual objects: some emerging computational principlesEvgeniy Bart, Jay Hegdé
Frontiers in Neuroinformatics|December 6, 2018
Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and TrainingEvgeniy Bart, Jay Hegdé
Psychological Science|October 16, 2012
Learning to break camouflage by learning the backgroundXin Chen, Jay Hegdé
Pageof 4

Showing results (1-10 of 38) with videos related to

Sort By:
Pageof 4
Progress in Neurobiology|November 3, 2007
Time course of visual perception: coarse-to-fine processing and beyondJay Hegdé
Journal 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 Hegdé
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 5, 2006
Search for the neural correlates of learning to discriminate orientationsJay Hegdé
Comprehensive Physiology|July 7, 2018
Neural Mechanisms of High-Level VisionJay Hegdé
Journal of Neurophysiology|June 26, 2009
How reliable is the pattern adaptation technique? A modeling studyJay Hegdé
Frontiers in Computational Neuroscience|April 2, 2019
Editorial: Deep Learning in Biological, Computer, and Neuromorphic SystemsEvgeniy Bart, Jay Hegdé
Frontiers in Computational Neuroscience|September 1, 2012
Invariant object recognition based on extended fragmentsEvgeniy Bart, Jay Hegdé
Frontiers in Computational Neuroscience|September 1, 2012
Invariant recognition of visual objects: some emerging computational principlesEvgeniy Bart, Jay Hegdé
Frontiers in Neuroinformatics|December 6, 2018
Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and TrainingEvgeniy Bart, Jay Hegdé
Psychological Science|October 16, 2012
Learning to break camouflage by learning the backgroundXin Chen, Jay Hegdé
Pageof 4