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The best thing that
we're put here for's to see. -The Star-Splitter, Robert
Frost Daniel J. Graham
Department of
Psychological Basic Research
University of Vienna
Vienna 1010 Austria
tel.
+43 1 4277 47930 US tel. 1 (607) 216 4494 fax +43 1 4277 47819 Email: artstats at gmail
d0t com or Myfirstname.mylastname@univie.ac.at CV available HERE
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RESEARCH SUMMARY
I study perceptual processing in
humans from a variety of perspectives, focusing on natural vision. Much of my
work focuses on aspects of visual perception that are instantiated in artwork,
and in artists themselves. Artwork forms a useful and interesting class of natural
stimuli, one created exclusively for the human eye, and only by humans. My
research employs computational and behavioral experimental methods in order to
help elucidate the nature of neural processing.
Key questions my work addresses
include:
o How do humans capture high
dynamic range scenes such as landscapes in a recognizable way using paint?
o How do artists judge size, color,
and light intensity in the world so that they can represent these quantities on
canvas?
o What visual attributes and
statistical properties constitute artistic style, and can style be modeled
computationally?
o Do human artists produce
representations that are efficiently processed by the visual system, and if so,
what can this tell us about neural processing in humans?
o How does mental illness affect
visual representations in artwork?
o What can we learn about cortical
processing from network theoretic principles of dynamic routing?
I am a postdoc
in the laboratory of Helmut
Leder at the University of Vienna. Other current
collaborators include Dan Rockmore, James
Hughes, and Jay
Friedenberg. I have also collaborated with David Field, James Cutting, Chris
Redies, and Ming Meng.
· Education
Ph.D.,
Psychology, 2008 Cornell University
(Advisor: David Field)
M.S.,
Physics, 2004 Cornell University
B.A.,
Physics, 2001 Middlebury College
· Publications (click paper title
for pdf)
2011
19. Graham, D. J., Hughes, J. M., Leder, H.
and Rockmore, D. N. 2011. Statistics, vision, and the analysis of
artistic style. Wiley
Interdisciplinary Reviews-Computational Statistics (WIREs-CS),
in press.
18. Graham, D. J. and Rockmore, D. N. 2011. The packet switching brain. Journal of Cognitive Neuroscience, 23 (2), 267-276.
17. 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]
16. Graham, D. J. and Meng, M. 2011. Altered spatial frequency content in paintings by
artists with schizophrenia. i-Perception
2 (1), 1-9.
15. Hughes, J. M., Graham, D. J., Jacobsen, C. R. and Rockmore, D. N. 2011.
Comparing higher-order spatial statistics and perceptual judgments in the stylometric analysis of art. Proceedings of
EUSIPCO 2011 (19th
European Signal Processing Conference), Barcelona, ESP.
2010
14. Graham, D. J. and Redies, C. 2010 Statistical regularities in art: Relations with visual
coding and perception. Vision Research 50 (16)
1503-1509.
13. Hughes, J. M., Graham, D. J. and Rockmore,
D. N. Quantification of artistic style through sparse coding
analysis in the drawings of Pieter Bruegel the Elder.
Proceedings of the National Academy of Sciences USA 107,
1279-1283.
MEDIA COVERAGE OF PNAS PAPER: Nature, NPR, BBC, Science News, IEEE Spectrum, Ars Technica, Physics World, NH Union Leader, Valley
News, The Dartmouth, Press Release
12. Graham, D. J., Friedenberg, J. D., Rockmore, D. N. and Field, D. J. 2010. Mapping the similarity space of paintings: image
statistics and visual perception. Visual
Cognition 18 (4), 559-573.
11. 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.
10. 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.
2009
9. Graham, D. J. 2009. Art statistics and visual processing: Insights for
Picture Coding. Proceedings of the Picture Coding
Symposium 2009, Chicago, IL.
8. Graham, D. J., Friedenberg, J. D. and Rockmore, D. N. 2009. Efficient visual system processing of
spatial and luminance statistics in representational and non-representational
art. Proc. SPIE: Human Vision and Electronic Imaging 7240, 72401N.
2008
7. 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.
6. Graham, D. J. and Field, D. J. 2008. Variations
in intensity statistics for representational and abstract art, and for art from
the eastern and western hemispheres.
Perception 37, 1341-1352.
5. Graham, D. J. and Field, D. J. 2008. Natural images: coding efficiency. In Encyclopedia
of Neuroscience ed. Larry R.
Squire. Academic Press, Oxford.
2004
- 2007
4. Graham, D. J. and Field, D. J. 2007. Statistical
regularities of art images and natural scenes: Spectra, sparseness and
nonlinearities. Spatial Vision 21, 149-164.
3. Graham, D. J., Chandler, D. M. and Field, D. J. 2006. Can the theory of "whitening" explain the
center-surround properties of retinal ganglion cell receptive fields?
Vision Research 46, 2901-2913.
2. Graham, D. J. and Field, D. J. 2006. Sparse coding in the neocortex. In Evolution of Nervous Systems
ed. Jon H. Kaas and Leah A. Krubitzer.
Elsevier, Vol. III, pp. 181-187.
1. Cuesta-Lopez,
S., Peyrard, M. and Graham,
D. J. 2005. Model for DNA hairpin denaturation. European Physical Journal E-Soft Matter 16, 235-246.
· Theses
Graham, D. J. 2008.
The relationship
between efficient coding of natural scenes in the human visual system and
statistical regularities in art. Doctoral Thesis, Cornell University.
Graham, D. J. 2004.
Efficient retinal ganglion cell coding and the
statistics of natural scenes. Master's Thesis, Department of Physics, Cornell University.
· Teaching
I currently teach Cognitive Foundations of Experience and Behavior (Psychology 200022), an introductory seminar for first-year students
at the University of Vienna.
For three years (2008-2010), I taught a course of my own
design, Current Problems in Applied Mathematics: Mathematical
Methods and Models in Visual Neuroscience (MATH 126) , at Dartmouth College. The
course focuses on mathematical models and methods used to study visual system
processing. The course is aimed at advanced undergraduates and graduate
students in mathematics, physics, neuroscience, psychology, and computer
science.
· Selected Abstracts
Graham, D. J. and Meng, M. 2011. Lightness perception in artists.
Vision Sciences Society 2011, Naples, FL.
Graham, D. J., Friedenberg, J.
D. and Rockmore, D. N. Mathematics,
Perception, and the Visual Arts: New Perspectives, talk at MathPsych 2009 (Society for Mathematical Psychology), Aug 2009.
Graham, D. J., Friedenberg, J.
D., Rockmore, D. N. and Field, D. J. 2008. 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. 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. 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. Relating
nonlinearities to statistical regularities in paintings. Perception 35 supplement for ECVP.
Graham, D. J. Chandler, D. M. and Field, D. J. 2005. How alike are natural
scenes and paintings? Characterizing the spatial statistical properties of a
set of digitized, grey-scale images of painted art. Perception 34 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.
· Invited Talks (selected)
The Packet Switching Brain: A Hypothesis, Redwood Neuroscience Institute Seminar, University of California,
Berkeley, Nov 2009. VIDEO now available.
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 now available.
Art and Efficient Visual Representation,
Colloquium Speaker, Department of
Mathematics, 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.
· Support and Awards
2008-2009:
William H. Neukom 1964 Institute for Computational
Science
2008-2010: National Science
Foundation Small Grant for Exploratory Research DMS-0746667
2007:
Provost’s Diversity Fellowship, Cornell University
2004-2007:
National Institutes of Health Kirschstein-NRSA
Traineeship (Individual) EY015393
2002:
NSF Locnet Fellowship, Ecole
Normale Superieure, Lyon, France
2001-2004:
NSF IGERT Program in Nonlinear Dynamics Fellowship, Cornell University
· Writing for Non-scientists
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· Links
Science
For Everyone: A
conference of science writers, including Robert Krulwich
and Janna Levin, that I organized at Cornell in May 2004.
Noah Graham (my brother) studies quantum mechanics
and teaches physics at my alma mater, Middlebury
College.
Updated 21 Sept 2011