D. Field

Most-cited papers

Emergence of simple-cell receptive field properties by learning a sparse code for natural images
B. Olshausen, D. Field
1996Nature6,557 citations
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Sparse coding with an overcomplete basis set: a strategy employed by V1?
B. Olshausen, D. Field
1997Vision Research4,072 citations Open access
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Relations between the statistics of natural images and the response properties of cortical cells.
D. Field
1987Journal of the Optical Society of America. A, Optics and image science3,598 citations Open access
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Contour integration by the human visual system: evidence for a local "association field".
D. Field, A. Hayes, R. F. Hess
1993Vision Research1,723 citations Open access
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Sparse coding of sensory inputs.
B. Olshausen, D. Field
2004Current Opinion in Neurobiology1,561 citations
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What Is the Goal of Sensory Coding?
D. Field
1994Neural Computation1,410 citations
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Natural image statistics and efficient coding.
B. Olshausen, D. Field
1996Network691 citations
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How Close Are We to Understanding V1?
B. Olshausen, D. Field
2005Neural Computation476 citations
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Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes.
D. Field, Nuala Brady
1997Vision Research271 citations Open access
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Integration of contours : new insights
R. Hess, D. Field
222 citations
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The structure and symmetry of simple-cell receptive-field profiles in the cat’s visual cortex
D. Field, D. Tolhurst
1986Proceedings of the Royal Society of London. Series B. Biological Sciences190 citations
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Statistical regularities of art images and natural scenes: spectra, sparseness and nonlinearities.
Daniel J. Graham, D. Field
2007Spatial Vision187 citations Open access
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Local Contrast in Natural Images: Normalisation and Coding Efficiency
Nuala Brady, D. Field
2000Perception151 citations
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Is the spatial deficit in strabismic amblyopia due to loss of cells or an uncalibrated disarray of cells?
R. F. Hess, D. Field
1994Vision Research122 citations
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Contour integration in strabismic amblyopia: the sufficiency of an explanation based on positional uncertainty.
R. F. Hess, W. McIlhagga, D. Field
1997Vision Research119 citations Open access
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What's constant in contrast constancy? The effects of scaling on the perceived contrast of bandpass patterns.
Nuala Brady, D. Field
1995Vision Research118 citations Open access
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Gestalten of Today: Early Processing of Visual Contours and Surfaces
V. A. F. Zipser, T. S. Lamme, P. Lee, Schiller +66 more
1996117 citations
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Vision and the Coding of Natural Images
B. Olshausen, D. Field
2000105 citations Open access
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Can the theory of "whitening" explain the center-surround properties of retinal ganglion cell receptive fields?
Daniel J. Graham, D. Chandler, D. Field
2006Vision Research98 citations Open access
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What The Statistics Of Natural Images Tell Us About Visual Coding
D. Field
1989Photonics West - Lasers and Applications in Science and Engineering80 citations
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Variations in Intensity Statistics for Representational and Abstract Art, and for Art from the Eastern and Western Hemispheres
Daniel J. Graham, D. Field
2008Perception77 citations Open access
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What Is the Other 85 Percent of V1 Doing
B. Olshausen, D. Field
200674 citations
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Estimates of the information content and dimensionality of natural scenes from proximity distributions.
D. Chandler, D. Field
2007Journal of The Optical Society of America A-optics Image Science and Vision71 citations Open access
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What is the other 85% of V1 doing?
B. Olshausen, D. Field
200469 citations
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Is the increased spatial uncertainty in the normal periphery due to spatial undersampling or uncalibrated disarray?
R. F. Hess, D. Field
1993Vision Research63 citations
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Phase reversal discrimination.
D. Field, J. Nachmias
1984Vision Research60 citations
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Mapping the similarity space of paintings: Image statistics and visual perception
Daniel J. Graham, J. Friedenberg, D. Rockmore, D. Field
201057 citations
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Local masking in natural images: a database and analysis.
M. Alam, Kedarnath P. Vilankar, D. Field, D. Chandler
2014Journal of Vision56 citations Open access
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Innate Visual Learning through Spontaneous Activity Patterns
Mark V. Albert, A. Schnabel, D. Field
2008PLoS Comput. Biol.54 citations Open access
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What image properties regulate eye growth?
R. F. Hess, K. Schmid, S. Dumoulin, D. Field +1 more
2006Current Biology54 citations Open access
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Sensitivity to contrast histogram differences in synthetic wavelet-textures.
F. Kingdom, A. Hayes, D. Field
2001Vision Research50 citations Open access
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Sparse Coding in the Neocortex
Daniel J. Graham, D. Field
200749 citations
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Vision: The puzzle of amblyopia
R. F. Hess, D. Field, R. Watt
199148 citations Open access
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Contour Integration Across
R. F. Hess, D. Field
199540 citations
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Wavelet-Like Receptive Fields Emerge From a Network That Learns Sparse Codes for Natural Images
B. Olshausen, D. Field, Uris Hall
199636 citations
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Sparse Coding of Natural Images Produces Localized, Oriented, Bandpass Receptive Fields
B. Olshausen, D. Field
199536 citations
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Does spatial invariance result from insensitivity to change?
F. Kingdom, D. Field, Adriana Olmos
2016Journal of Vision30 citations Open access
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Natural Images: Coding Efficiency
Daniel J. Graham, D. Field
200923 citations
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Conjectures regarding the nonlinear geometry of visual neurons.
James R. Golden, Kedarnath P. Vilankar, M. Wu, D. Field
2016Vision Research21 citations Open access
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What is the other 85 % of V 1 doing ?
B. Olshausen, D. Field
200421 citations
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Local edge statistics provide information regarding occlusion and nonocclusion edges in natural scenes.
Kedarnath P. Vilankar, James R. Golden, D. Chandler, D. Field
2014Journal of Vision16 citations Open access
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Integration of contours: new insights.
Robert F. Hess, D. Field
1999Trends in Cognitive Sciences16 citations
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Visual coding, redundancy, and “feature detection”
D. Field
199816 citations
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Wavelets, blur, and the sources of variability in the amplitude spectra of natural scenes
D. Field, B. Olshausen, Nuala Brady
1996Electronic imaging16 citations
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Global nonlinear compression of natural luminances in painted art
Daniel J. Graham, D. Field
2008Electronic imaging15 citations Open access
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Selectivity, hyperselectivity, and the tuning of V1 neurons.
Kedarnath P. Vilankar, D. Field
2017Journal of Vision13 citations Open access
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Method for estimating the relative contribution of phase and power spectra to the total information in natural-scene patches.
D. Field, D. Chandler
2012Journal of The Optical Society of America A-optics Image Science and Vision12 citations
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An attempt towards a unified account of non-linearities in visual neurons
D. Field, M. Wu
200411 citations Open access
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Uncalibrated distortions vs undersampling.
D. Field, R. F. Hess
1996Vision Research11 citations Open access
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Towards a state-space geometry of neural responses to natural scenes: A steady-state approach
Bruce C. Hansen, D. Field, Michelle R. Greene, Cassady Olson +1 more
2019bioRxiv9 citations Open access
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