Dale Purves
Research Professor in the Duke Institute for Brain Sciences
Overview
Selected Grants
Basic Postdoctoral Training in Neurobiology awarded by National Institutes of Health (Principal Investigator). 1994 to 2005
Basic Predoctoral Training in Neurobiology awarded by National Institutes of Health (Principal Investigator). 1998 to 2002
Construction Of Brain Circuitry In Mammals awarded by National Institutes of Health (Principal Investigator). 1994 to 1997
Long-Term Geometrical Changes In Living Neurons awarded by National Institutes of Health (Principal Investigator). 1990
Bowling, D., and D. Purves. “A biological basis for musical tonality.” Sensory Perception: Mind and Matter, 2012, pp. 205–14. Scopus, doi:10.1007/978-3-211-99751-2_12. Full Text
Purves, Dale. “Opinion: What does AI's success playing complex board games tell brain scientists?” Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 30, July 2019, pp. 14785–87. Epmc, doi:10.1073/pnas.1909565116. Full Text
Ng, Cherlyn J., and Dale Purves. “An Alternative Theory of Binocularity.” Frontiers in Computational Neuroscience, vol. 13, Jan. 2019, p. 71. Epmc, doi:10.3389/fncom.2019.00071. Full Text
Bowling, Daniel L., et al. “Reply to Goffinet: In consonance, old ideas die hard.” Proceedings of the National Academy of Sciences of the United States of America, vol. 115, no. 22, May 2018, pp. E4958–59. Epmc, doi:10.1073/pnas.1805570115. Full Text
Bowling, Daniel L., et al. “Vocal similarity predicts the relative attraction of musical chords.” Proceedings of the National Academy of Sciences of the United States of America, vol. 115, no. 1, Jan. 2018, pp. 216–21. Epmc, doi:10.1073/pnas.1713206115. Full Text
Purves, Dale, and Chidambaram Yegappan. “The Demands of Geometry on Color Vision.” Vision (Basel, Switzerland), vol. 1, no. 1, Jan. 2017. Epmc, doi:10.3390/vision1010009. Full Text
Bowling, Daniel L., and Dale Purves. “A biological rationale for musical consonance.” Proceedings of the National Academy of Sciences of the United States of America, vol. 112, no. 36, Sept. 2015, pp. 11155–60. Epmc, doi:10.1073/pnas.1505768112. Full Text
Purves, Dale, et al. “Perception and Reality: Why a Wholly Empirical Paradigm is Needed to Understand Vision.” Frontiers in Systems Neuroscience, vol. 9, Jan. 2015, p. 156. Epmc, doi:10.3389/fnsys.2015.00156. Full Text
Morgenstern, Yaniv, et al. “Properties of artificial networks evolved to contend with natural spectra.” Proceedings of the National Academy of Sciences of the United States of America, vol. 111 Suppl 3, July 2014, pp. 10868–72. Epmc, doi:10.1073/pnas.1402669111. Full Text
Purves, Dale, et al. “How biological vision succeeds in the physical world.” Proceedings of the National Academy of Sciences of the United States of America, vol. 111, no. 13, Apr. 2014, pp. 4750–55. Epmc, doi:10.1073/pnas.1311309111. Full Text
Morgenstern, Yaniv, et al. “Properties of artificial neurons that report lightness based on accumulated experience with luminance.” Frontiers in Computational Neuroscience, vol. 8, Jan. 2014, p. 134. Epmc, doi:10.3389/fncom.2014.00134. Full Text