Illusory bands at a luminance transition in space (ie an edge) are well known. Here we demonstrate illusory bands of enhanced orientations or spatial frequencies at transitions between higher-contrast and lower-contrast image content along the orientation and spatial-frequency dimensions—the dimensions of cortical spatial coding. We conclude that this illusion is a consequence of cortical-level suppression of units of similar orientations and spatial frequencies and serves to aid texture segmentation while providing efficient neural coding.
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References
1.
AllisonJ DBondsA B, 1994“Inactivation of the infragranular striate cortex broadens orientation tuning of supragranular visual neurons in the cat”Experimental Brain Research101415–426
2.
BaumanL ABondsA B, 1991“Inhibitory refinement of spatial-frequency selectivity in single cells of the cat striate cortex”Vision Research31933–944
3.
BillockV A, 2000“Neural acclimation to 1/f spatial frequency spectra in natural images transduced by the human visual system”Physica D137379–391
4.
BlakemoreCTobinE A, 1972“Lateral inhibition between orientation detectors in the cat's visual cortex”Experimental Brain Research15439–440
5.
BondsA B, 1989“Role of inhibition in the specification of orientation selectivity of cells in the cat striate cortex”Visual Neuroscience241–55
6.
CarandiniMHeegerD J, 1994“Summation and division in primate visual cortex”Science2641333–1336
7.
CohenM AGrossbergS, 1984“Neural dynamics of brightness perception: Features, boundaries, diffusion, and resonance”Perception & Psychophysics36428–456
8.
EngelT, 1972“Psychophysics: scaling methods”, in Experimental Psychologyvolume 1 Sensation and Perception Eds KlingJ WRiggsL A (New York: Holt, Reinhart, and Winston) pp 47–86
9.
EssockE ADeFordJ KHansenB CSinaiM J, 2003“Oblique stimuli are seen best (not worst!) in naturalistic broad-band stimuli: A horizontal effect”Vision Research431329–1335
10.
FieldD JBradyN, 1997“Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes”Vision Research373367–3383
11.
GallantJVan EssenD CNothdurftH C, 1995“Two-dimensional and three-dimensional texture processing in visual cortex of the macaque monkey”, in Early Vision and Beyond Eds PapathomasT VChubbCGoreaAKowlerE (Cambridge, MA: MIT Press) pp 89–98
12.
HansenB CEssockE A, 2004“A horizontal bias in human visual processing of orientation and its correspondence to the structural components of natural scenes”Journal of Vision41044–1060
13.
HansenB CEssockE A, 2006“Anisotropic local contrast normalization: The role of stimulus orientation and spatial frequency bandwidths in the oblique and horizontal effect perceptional anisotropies”Vision Research464398–4415
14.
HaunA MEssockE A, under review, “Bands of increased and decreased contrast sensitivity for orientation and spatial frequency at a transition of amplitude”Vision Research
15.
HeegerD J, 1992“Normalization of cell responses in cat visual cortex”Visual Neuroscience9181–197
16.
HeegerD JSimoncelliE PMovshonJ A, 1996“Computational models of cortical visual processing”Proceedings of the National Academy of Sciences of the USA93623–627
17.
HosoyaTBaccusS AMeisterM, 2005“Dynamic predictive coding by the retina”Nature43671–77
18.
LeeT S, 2003“Computations in the early visual cortex”Journal of Physiology97121–139
19.
LiZ, 1999“Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex”Network: Computation and Neural Systems10187–212
20.
LottoR BWilliamsS MPurvesD, 1999“An empirical basis for Mach bands”Proceedings of the National Academy of Sciences of the USA965239–5244
21.
MaffeiLFiorentiniA, 1976“The unresponsive regions of visual cortical receptive fields”Vision Research161131–1139
22.
NelsonS B, 1991“Temporal interactions in the cat visual-system. 1: Orientation-selective suppression in the visual-cortex”Journal of Neuroscience11344–356
23.
NeumannHSeppW, 1999“Recurrent V1 – V2 interaction in early visual boundary processing”Biological Cybernetics81425–444
24.
NothdurftH-CGallantJ LVan EssenD C, 2000“Response profiles to texture border patterns in area V1”Visual Neuroscience17421–436
25.
OlshausenB AFieldD J, 2005“How close are we to understanding V1?”Neural Computation171665–1699
26.
RatliffF, 1965Mach Bands: Quantitative Studies in Neural Networks in the Retina (San Francisco, CA: Holden-Day)
27.
SchwartzOSimoncelliE P, 2001“Natural signal statistics and sensory gain control”Nature Neuroscience4819–825
28.
SpillmannL, 1999“From elements to perception: Local and global processing in visual neurons”Perception281461–1492
29.
TolhurstD JTadmorYChaoT, 1992“Amplitude spectra of natural images”Ophthalmic and Physiological Optics12229–232
30.
UrbanN N, 2002“Lateral inhibition in the olfactory bulb and in olfaction”Physiology and Behavior77607–612
31.
VinjeW EGallantJ L, 2000“Sparse coding and decorrelation in primary visual cortex during natural vision”Science2871273–1276
32.
WilsonH RHumanskiR, 1993“Spatial frequency adaptation and contrast gain control”Vision Research331133–1149
