Natural image statistics and neural representation

Annual Review of Neuroscience

Volumn 24, Issue , 2001, Pages 1193-1216

  Simoncelli, E P ^a   Olshausen, B A ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

Efficient coding; Independence; Redundancy reduction; Visual cortex

Indexed keywords

HYPOTHESIS; IMAGE ANALYSIS; INFORMATION SCIENCE; NERVE CELL; PRIORITY JOURNAL; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ANIMALS; BRAIN MAPPING; ENVIRONMENT; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURONS; PATTERN RECOGNITION, VISUAL; VISUAL CORTEX; VISUAL PERCEPTION;

EID: 0034934777     PISSN: 0147006X     EISSN: None     Source Type: Book Series    
DOI: 10.1146/annurev.neuro.24.1.1193     Document Type: Review

References (86)

1. Could information theory provide an ecological theory of sensory processing?
2. What does post-adaptation color appearance reveal about cortical color representation?
3. What does the retina know about natural scenes?
4. What does the retina know about natural scenes?
5. Independent factor analysis
6. Temporal low-order statistics of natural sounds
7. Coding of naturalistic stimuli by auditory midbrain neurons
8. Some informational aspects of visual perception
9. Respones of neurons in primary and inferior temporal visual cortices to natural scenes
10. The role of early lateral inhibition: More than maximizing luminance information
11. Possible principles underlying the transformation of sensory messages
12. Adaptation and decorrelation in the cortex
13. The "independent components" of natural scenes are edge filters
14. Visual texture segmentation based on energy measures
15. Reading a neural code
16. Role of inhibition in the specification of orientation selectivity of cells in the cat striate cortex
17. Adaptive rescaling maximizes information transmission
18. Image compression via joint statistical characterization in the wavelet domain
19. Trichromacy, opponent color coding, and optimum colour information transmission in the retina
20. Chromaticity coordinates of frequency-limited functions
21. Linearity and normalization in simple cells of the macaque primary visual cortex
22. Pattern adaptation and cross-orientation interactions in the primary visual cortex
23. Source separation using higer order moments
24. Independent component analysis, a new concept?
25. Efficient coding of natural scenes in the lateral geniculate nucleus: Experimental test of a computational theory
26. Entropy reduction and decorrelation in visual coding by oriented neural receptive fields
27. The Helmholtz machine
28. Associative decorrelation dynamics: A theory of self-organization and optimization in feedback networks
29. Statistics of natural time-varying images
30. Temporal decorrelation: A theory of lagged and nonlagged responses in the lateral geniculate nucleus
31. Adaptation-induced plasticity of orientation tuning in adult visual cortex
32. Relations between the statistics of natural images and the response properties of cortical cells
33. What is the goal of sensory coding?
34. Forming sparse representations by local anti-hebbian learning
35. Cortical neurons: Isolation of contrast gain control
36. Edge co-occurance in natural images predicts contour grouping performance
37. The principal components of natural images
38. Pyramid-based texture analysis/synthesis
39. Normalization of cell responses in cat striate cortex
40. Emergence of topography and complex cell properties from natural images using extensions of ica
41. A fast fixed-point algorithm for independent component analysis
42. Where do we stand on maximum entropy?
43. Visual pattern discrimination
44. Blind separation of sources. Part I: An adaptive algorithm based on neuromimetic architecture
45. Predictability and redundancy of natural images
46. Human discrimination of fractal images
47. A simple coding procedure enhances a neuron's information capacity
48. An occlusion model generating scale-invariant images
49. Mechanisms of color vision
50. Probabilistic framework for the adaptation and comparison of image codes
51. Coding time-varying signals using sparse, shift-invariant representations
52. Evaluation of linear models of surface spectral reflectance with small numbers of parameters
53. Rapid adaptation in visual cortex to the structure of images
54. Sparse codes and spikes
55. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
56. Sparse coding with an overcomplete basis set: A strategy employed by V1?
57. The "ideal homunculus": Decoding neural population signals
58. The human visual system is optimised for processing the spatial information in natural visual images
59. Fast convergent factorial learning of the low-dimensional independent manifolds in optical imaging data
60. A parametric texture model based on joint statistics of complex wavelet coefficients
61. Dynamic model of visual recognition predicts neural response properties in the visual cortex
62. Figure-ground discrimination by relative movement in the visual system of the fly
63. Natural scene statistics at the centre of gaze
64. Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferents
65. Origins of scaling in natural images
66. Statistics of natural images: Scaling in the woods
67. Statistics of cone responses to natural images: Implications for visual coding
68. Optimal unsupervised learning in a single-layer network
69. Natural sound statistics and divisive normalization in the auditory system
70. The mathematical theory of communication
71. BCM Network develops orientation selectivity and ocular dominance in natural scene environment
72. On a common circle: Natural scenes and gestalt rules
73. Image statistics and cortical normalization models
74. Adaptation of retinal processing to image contrast and spatial scale
75. Predictive coding: A fresh view of inhibition in the retina
76. A theory of maximizing sensory information
77. Spatiotemporal contrast sensitivity of early vision
78. Independent component filters of natural images compared with simple cells in primary visual cortex
79. Sparse coding and decorrelation in primary visual cortex during natural vision
80. Visual adaptation as optimal information transmission
81. Natural image statistics and divisive normalization: Modeling nonlinearity and adaptation in cortical neurons
82. Human colour perception and its adaptation
83. Statistical dependence between orientation filter outputs used in an human vision based image code
84. FRAME: Filters, random fields and maximum entropy - Towards a unified theory for texture modeling