** indicates HWS student co-author
Graham D. J., Avena-Koenigsberger, A., and Mišić,
B. 2020. Editorial:
Network Communication in the Brain. Network
Neuroscience 4 (4), 976-979.
Graham, D. J. and Hao, Y. 2018. A selective diffusion model of brain
Proceedings of the Conference on Cognitive Computational Neuroscience, 1195.
‡This paper is part of a Research Topic I co-edited with Chris Redies and Ed Vessel for Frontiers in Human Neuroscience.
See: How Variable, Stable, or Universal are
Pugach, C.,** Daley, E.**, Leder, H. and Graham. D. J. 2014. Aesthetic stability in development. Proceedings of the International Association for Empirical Aesthetics Biennial Congress 2014, New York, NY. ISBN: 0-692-29396-5.
Graham, D. J. 2014. Routing in the brain. Frontiers in Computational Neuroscience 8:44.
Graham, D. J. and Rockmore, D. N. 2011. The packet switching brain. Journal of Cognitive Neuroscience, 23 (2), 267-276.
Graham, D. J. and Meng, M. 2011. Artistic representations: clues to efficient coding in human vision. Visual Neuroscience 28, 371-379 [Special Issue on comparative, ecological and developmental aspects of visual system design and function]
Graham, D. J., Hughes, J. M., Leder, H. and Rockmore, D. N. 2011. Statistics, vision, and the analysis of artistic style. WIREs Computational Statistics (Wiley Interdisciplinary Reviews-Computational Statistics) 4, 115–123. doi: 10.1002/wics.197.
Graham, D. J., Friedenberg, J. D., McCandless, C. H. and Rockmore, D. N. 2010. Preference for artwork: Similarity, statistics, and selling price. Proc. SPIE: Human Vision and Electronic Imaging 7527, 75271A.
Hughes, J. M., Graham, D. J. and Rockmore, D. N. 2010. Stylometrics of artwork: Uses and limitations. Proc. SPIE: Computer Vision and Image Analysis of Art 7531, 75310C.
Graham, D. J. and Field, D. J. 2008. Global nonlinear luminance compression in painted art. Proc. SPIE: Computer Image Analysis in the Study of Art 6810, 68100K.
Graham, D. J. and Field, D. J. 2008. Natural images: coding efficiency. In: Encyclopedia of Neuroscience ed. Larry R. Squire. Academic Press, Oxford.
Graham, D. J. and Field, D. J. 2006. Sparse coding in the
In: Evolution of Nervous Systems ed. Jon H. Kaas and Leah A. Krubitzer. Elsevier, Vol. III, pp. 181-187.
Cuesta-Lopez, S., Peyrard, M. and Graham, D. J. 2005. Model for DNA hairpin denaturation. European Physical Journal E-Soft Matter 16, 235-246.
Graham, D. J. 2020. The use of
visual statistical features in empirical aesthetics. In: M. Nadal and O.
Vartanian (Eds.), Oxford Handbook of Empirical Aesthetics, Oxford University
Press, UK. DOI: 10.1093/oxfordhb/9780198824350.013.19
Graham, D. J. and Field, D. J. 2009. Natural Images:
Coding Efficiency. In: L. R. Squire (Ed.) Encyclopedia of Neuroscience Vol.
VI (pp. 19-27). Oxford: Academic Press.
Graham, D. J. and Field, D. J. 2006. Sparse coding in the
neocortex. In Evolution of Nervous Systems, Vol. III (pp. 181-187), J.
Kaas, L. Krubitzer eds. Oxford: Academic Press.
Graham, D. J. 2012 Evolution’s Witness. Perception 41, 755-756.
Graham, D. J. 2012 The Evolution of the Eye from Algae and Jellyfish to Humans. Perception 41,
Graham, D. J. 2004. In the Blink of an Eye. American Paleontologist 12, 13-17.
Selected Conference Abstracts
Graham, D. J. and Hao, Y. (2019, September). Nonlinear
collision rules on the mammal connectome produce different behavior in
diffusion processes compared to random walk models. Bernstein Conference on
Computational Neuroscience, Berlin, DE.
Graham, D. J. and Hao, Y. (2018, July). Sparseness and message loss in simulated packet-switching primate brain networks. Federation of European Neuroscience Societies Forum, Berlin, DE.
Hao, Y. and Graham, D. J. (2018, June). Simulating efficient routing protocols in primate brain networks. International Conference of Mathematical Neuroscience, Juan-les-Pins, FR.
Teceno, D.** and Graham, D. J. (2017, May) Aesthetic stability in non-elderly adults with brain injury: A pilot study. Association for Psychological Science, Boston, MA.
Prescott, N.** and Graham, D. J. (2017, March) The visual neuroscience of masks. Eastern Psychological Association, Boston, MA.
Graham, D. J., Schwarz, B., Chatterjee, A., and Leder, H. (2013, May). Preference for higher-order luminance regularities in natural scenes. Vision Sciences Society, Naples, FL.
Graham, D. J. and Meng, M. (2011, May). Lightness perception in artists. Vision Sciences Society 2011, Naples, FL.
Graham, D. J., Friedenberg, J. D. and Rockmore, D. N. (2009, August) Mathematics, Perception, and the Visual Arts: New Perspectives, talk at MathPsych 2009 (Society for Mathematical Psychology).
Graham, D. J., Friedenberg, J. D., Rockmore, D. N. and Field, D. J. (2008, August) Mapping the similarity space of paintings: Is there a role for image statistics? ECVP 2008 Utrecht, NL.
Graham, D. J. and Field, D. J. (2008, January) Global nonlinear compression of natural luminances in painted art. SPIE Electronic Imaging Conference on Computer Image Analysis in the Study of Art, San Jose CA.
Cutting, J. E., Graham, D. J. and Field, D. J. (2008, March) From a neuroesthetics to a neuroarthistory. Annual Conference of the College Art Association, Dallas TX.
Graham, D. J., Page, K. B. and Field, D. J. (2006, August) Relating nonlinearities to statistical regularities in paintings. Perception 35 supplement for ECVP.
Graham, D. J., Chandler, D. M. and Field, D. J. 2004. Decorrelation and response equalization with center-surround receptive fields. Journal of Vision 4, 276a.
Introduction to Visual Stylometry: A Neuroscientific Perspective, WAIVS (Workflows for Analysis of Images in Visual Stylometry), Fitchburg Art Museum, Fitchburg MA USA, May, 2017.
Face Representation in Portraiture and Masks, Eastern American Society for Aesthetics Annual Meeting, April 2016.
The Packet Switching Brain: A Hypothesis, Redwood Neuroscience Institute Seminar, University of California, Berkeley, Nov 2009. VIDEO.
The Efficient Artist: Statistical Regularities in Art and Their Relationships with Visual Coding, Oxyopia Lecture Series, University of California, Berkeley, School of Optometry, Nov 2009. VIDEO.
Art and Efficient Visual Representation, Mathematics Colloquium, Middlebury College, Sept 2009.
Invited Panelist, Special Session on Visual Attention, Artistic Intent and Efficient Coding, Picture Coding Symposium, Chicago, IL, May 2009.
Stylometric analysis of Van Gogh using methods inspired by early visual system neural coding. Van Gogh Museum, Amsterdam, Netherlands, Oct 2008. (part of IP4AI)
Statistical Regularities in Paintings: Connections to Visual Coding and Perception, Friedrich-Schiller-University, Jena, Germany, Sept 2008.
Relationships Between Human Visual Coding and Painted Art, Applied and Computational Mathematics Seminar, Dartmouth College, Feb 2008.
The Illuminated World: Art and the Visual System, Art for Lunch, Herbert F. Johnson Museum of Art, Cornell University, April 2007.
Copyright © 2020 Daniel Graham