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Frontiers in Psychology|August 19, 2015
Will understanding vision require a wholly empirical paradigm?Dale Purves, Yaniv Morgenstern, William T WojtachFrontiers in Systems Neuroscience|December 5, 2015
Perception and Reality: Why a Wholly Empirical Paradigm is Needed to Understand VisionDale Purves, Yaniv Morgenstern, William T WojtachProceedings of the National Academy of Sciences of the United States of America|December 31, 2008
An empirical explanation of aperture effectsKyongje Sung, William T Wojtach, Dale PurvesPlos One|August 27, 2009
An empirical explanation of the speed-distance effectWilliam T Wojtach, Kyongje Sung, Dale PurvesProceedings of the National Academy of Sciences of the United States of America|March 9, 2011
Understanding vision in wholly empirical termsDale Purves, William T Wojtach, R Beau LottoProceedings of the National Academy of Sciences of the United States of America|July 16, 2014
Properties of artificial networks evolved to contend with natural spectraYaniv Morgenstern, Mohammad Rostami, Dale PurvesProceedings of the National Academy of Sciences of the United States of America|October 15, 2008
An empirical explanation of the flash-lag effectWilliam T Wojtach, Kyongje Sung, Sandra Truong, et al.Proceedings of the National Academy of Sciences of the United States of America|March 19, 2014
How biological vision succeeds in the physical worldDale Purves, Brian B Monson, Janani Sundararajan, et al.Frontiers in Computational Neuroscience|November 19, 2014
Properties of artificial neurons that report lightness based on accumulated experience with luminanceYaniv Morgenstern, Dhara V Rukmini, Brian B Monson, et al.Pageof 6