David J. Field

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Bruno OlshausenProfessor, UC BerkeleyVerified email at berkeley.edu
Robert F. HessProfessor of OphthalmologyVerified email at mcgill.ca
Daniel GrahamHobart and William Smith CollegesVerified email at hws.edu
Nuala BradyUniversity College DublinVerified email at ucd.ie
Damon M. ChandlerProfessor, College of Information Science and Engineering, Ritsumeikan UniversityVerified email at fc.ritsumei.ac.jp
Kedarnath VilankarPhD Student, Cornell UniversityVerified email at cornell.edu
James R. GoldenScientist, Amazon AWSVerified email at amazon.com
William McIlhaggaBradford School of Optometry and Vision ScienceVerified email at bradford.ac.uk
Mark V. AlbertAssociate Professor of Computer ScienceVerified email at unt.edu
Daniel KerstenProfessor of Psychology, University of MinnesotaVerified email at umn.edu
Michael A. WebsterUniversity of Nevada, RenoVerified email at unr.edu
Md Mushfiqul AlamPhD, Electrical Engineering, Oklahoma State UniversityVerified email at okstate.edu
Steven DakinProfessor of Visual Neuroscience at University of AucklandVerified email at auckland.ac.nz
Serge O. DumoulinSpinoza Centre / Netherlands Institute for Neuroscience / Vrije Universiteit AmsterdamVerified email at spinozacentre.nl
Stephen GrossbergWang Professor of Cognitive and Neural Systems, Boston UniversityVerified email at bu.edu
Reza ShahbaziPhD Student, Cornell UniversityVerified email at cornell.edu
Shimon EdelmanProfessor of Psychology, Cornell UniversityVerified email at cornell.edu
Kathy T. MullenProfessor, McGill Vision Research, Dept. of Ophthalmology, McGill UniversityVerified email at mcgill.ca

David J. Field

Professor of Psychology, Cornell University

Verified email at cornell.edu

vision computational vision natural scenes computational neuroscience neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Emergence of simple-cell receptive field properties by learning a sparse code for natural images BA Olshausen, DJ Field Nature 381 (6583), 607-609, 1996	7640	1996
Sparse coding with an overcomplete basis set: A strategy employed by V1? BA Olshausen, DJ Field Vision research 37 (23), 3311-3325, 1997	4866	1997
Relations between the statistics of natural images and the response properties of cortical cells DJ Field Josa a 4 (12), 2379-2394, 1987	4494	1987
Contour integration by the human visual system: Evidence for a local DJ Field, A Hayes, RF Hess Vision research 33 (2), 173-193, 1993	2112	1993
Sparse coding of sensory inputs BA Olshausen, DJ Field Current opinion in neurobiology 14 (4), 481-487, 2004	1873	2004
What is the goal of sensory coding? DJ Field Neural Computation 6 (4), 559-601, 1994	1769	1994
Natural image statistics and efficient coding BA Olshausen, DJ Field Network: computation in neural systems 7 (2), 333, 1996	861	1996
How close are we to understanding V1? BA Olshausen, DJ Field Neural computation 17 (8), 1665-1699, 2005	572	2005
Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes DJ Field, N Brady Vision research 37 (23), 3367-3383, 1997	350	1997
Integration of contours: New insights R Hess, DJ Field Trends in Cognitive Sciences 3 (12), 480-486, 1999	292	1999
Scale-invariance and self-similar ‘wavelet’transforms: an analysis of natural scenes and mammalian visual systems DJ Field Wavelets, fractals, and Fourier transforms, 151-193, 1993	277	1993
Human discrimination of fractal images DC Knill, D Field, D Kerstent JOSA A 7 (6), 1113-1123, 1990	250	1990
The structure and symmetry of simple-cell receptive-field profiles in the cat's visual cortex DJ Field, DJ Tolhurst Proceedings of the Royal society of London. Series B. Biological sciences …, 1986	237	1986
Statistical regularities of art images and natural scenes: spectra, sparseness and nonlinearities. DJ Graham, DJ Field Spatial vision 21, 2007	226	2007
Contour integration and cortical processing RF Hess, A Hayes, DJ Field Journal of Physiology-Paris 97 (2-3), 105-119, 2003	205	2003
Wavelets, vision and the statistics of natural scenes DJ Field Philosophical Transactions of the Royal Society of London. Series A …, 1999	169	1999
What's constant in contrast constancy? The effects of scaling on the perceived contrast of bandpass patterns N Brady, DJ Field Vision research 35 (6), 739-756, 1995	153	1995
Local contrast in natural images: normalisation and coding efficiency N Brady, DJ Field Perception 29 (9), 1041-1055, 2000	151	2000
Vision and the coding of natural images: The human brain may hold the secrets to the best image-compression algorithms BA Olshausen, DJ Field American Scientist 88 (3), 238-245, 2000	151	2000
Contour integration in strabismic amblyopia: the sufficiency of an explanation based on positional uncertainty RF Hess, W McIlhagga, DJ Field Vision research 37 (22), 3145-3161, 1997	141	1997

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