메뉴 건너뛰기




Volumn 37, Issue 23, 1997, Pages 3327-3338

The 'independent components' of natural scenes are edge filters

Author keywords

Independent components; Information theory; Neural network learning

Indexed keywords

ALGORITHM; ARTICLE; CAT; HUMAN; LEARNING; MONKEY; NERVE CELL; NERVE CELL NETWORK; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RETINA IMAGE; VISUAL CORTEX; VISUAL DISCRIMINATION;

EID: 0030832881     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0042-6989(97)00121-1     Document Type: Article
Times cited : (1763)

References (54)
  • 2
    • 34548281969 scopus 로고
    • Could information theory provide an ecological theory of sensory processing?
    • Atick, J. J. (1992). Could information theory provide an ecological theory of sensory processing? Network, 3, 213-251.
    • (1992) Network , vol.3 , pp. 213-251
    • Atick, J.J.1
  • 3
    • 0000302918 scopus 로고
    • Towards a theory of early visual processing
    • Atick, J. J. & Redlich, A. N. (1990). Towards a theory of early visual processing. Neural Computation, 2, 308-320.
    • (1990) Neural Computation , vol.2 , pp. 308-320
    • Atick, J.J.1    Redlich, A.N.2
  • 4
    • 0003173321 scopus 로고
    • Convergent algorithm for sensory receptive field development
    • Atick, J. J. & Redlich, A. N. (1993). Convergent algorithm for sensory receptive field development. Neural Computation, 5, 45-60.
    • (1993) Neural Computation , vol.5 , pp. 45-60
    • Atick, J.J.1    Redlich, A.N.2
  • 5
    • 0037599835 scopus 로고    scopus 로고
    • Searching for filters with "interesting" output distributions: An uninteresting direction to explore?
    • in press
    • Baddeley, R. (1996). Searching for filters with "interesting" output distributions: an uninteresting direction to explore? Network, in press.
    • (1996) Network
    • Baddeley, R.1
  • 6
    • 0001471775 scopus 로고
    • Unsupervised learning
    • Barlow, H. B. (1989). Unsupervised learning. Neural Computation, 1, 295-311.
    • (1989) Neural Computation , vol.1 , pp. 295-311
    • Barlow, H.B.1
  • 7
    • 0000797290 scopus 로고
    • What is the computational goal of the neocortex?
    • Koch, C. (Ed.). Cambridge, MA: MIT Press
    • Barlow, H. B. (1994). What is the computational goal of the neocortex? In Koch, C. (Ed.) Large-scale neuronal theories of the brain. Cambridge, MA: MIT Press.
    • (1994) Large-scale Neuronal Theories of the Brain
    • Barlow, H.B.1
  • 9
    • 0005697223 scopus 로고
    • Self-organisation in real neurons: Anti-Hebb in channel space?
    • Moody, J. et al (Eds). Morgan-Kaufmann
    • Bell, A. J. (1992). Self-organisation in real neurons: anti-Hebb in channel space? In Moody, J. et al. (Eds) Advances in neural information processing systems (Vol. 4, pp. 59-66). Morgan-Kaufmann.
    • (1992) Advances in Neural Information Processing Systems , vol.4 , pp. 59-66
    • Bell, A.J.1
  • 10
    • 0029411030 scopus 로고
    • An information maximization approach to blind separation and blind deconvolution
    • Bell, A. J. & Sejnowski, T. J. (1995a). An information maximization approach to blind separation and blind deconvolution. Neural Computation, 7, 1129-1159.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 13
    • 0000377432 scopus 로고
    • Optimal sampling of natural images: A design principle for the visual system?
    • Touretzky, D. (Ed.). Morgan-Kaufmann
    • Bialek, W., Ruderman, D. L. & Zee, A. (1991). Optimal sampling of natural images: a design principle for the visual system? In Touretzky, D. (Ed.), Advances in Neural Information Processing Systems (Vol. 1). Morgan-Kaufmann.
    • (1991) Advances in Neural Information Processing Systems , vol.1
    • Bialek, W.1    Ruderman, D.L.2    Zee, A.3
  • 14
    • 0020074887 scopus 로고
    • Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex
    • Bienenstock, E. L., Cooper, L. N. & Munro, P. W. (1982). Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. Journal of Neuroscience, 21, 32-48.
    • (1982) Journal of Neuroscience , vol.21 , pp. 32-48
    • Bienenstock, E.L.1    Cooper, L.N.2    Munro, P.W.3
  • 15
    • 0003249650 scopus 로고
    • Feature detection in biological and artificial vision systems
    • Blakemore, C. (Ed.). Cambridge, U.K.: Cambridge University Press
    • Burr, D. C. & Morrone, M. C. (1990). Feature detection in biological and artificial vision systems. In Blakemore, C. (Ed.), Vision: coding and efficiency. Cambridge, U.K.: Cambridge University Press.
    • (1990) Vision: Coding and Efficiency
    • Burr, D.C.1    Morrone, M.C.2
  • 17
    • 0028498103 scopus 로고
    • Robust learning algorithm for blind separation of signals
    • Cichocki, A., Unbehauen, R. & Rummert, E. (1994). Robust learning algorithm for blind separation of signals. Electronics Letters, 3017, 1386-1387.
    • (1994) Electronics Letters , vol.3017 , pp. 1386-1387
    • Cichocki, A.1    Unbehauen, R.2    Rummert, E.3
  • 18
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • Comon, P. (1994). Independent component analysis, a new concept? Signal Processing, 36, 287-314.
    • (1994) Signal Processing , vol.36 , pp. 287-314
    • Comon, P.1
  • 20
    • 0022098435 scopus 로고
    • Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters
    • Daugman, J. G. (1985). Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Journal of the Optical Society of America A, 27, 1160-1169.
    • (1985) Journal of the Optical Society of America A , vol.27 , pp. 1160-1169
    • Daugman, J.G.1
  • 21
    • 0029933522 scopus 로고    scopus 로고
    • Orientation selectivity of thalamic input to simple cells of cat visual cortex
    • Ferster, D., Chung, S. & Wheat, H. (1996). Orientation selectivity of thalamic input to simple cells of cat visual cortex. Nature, 380, 249-252.
    • (1996) Nature , vol.380 , pp. 249-252
    • Ferster, D.1    Chung, S.2    Wheat, H.3
  • 22
    • 33645801309 scopus 로고
    • Relations between the statistics of natural images and the response properties of cortical cells
    • Field, D. J. (1987). Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A, 412, 2370-2393.
    • (1987) Journal of the Optical Society of America A , vol.412 , pp. 2370-2393
    • Field, D.J.1
  • 23
    • 0000929221 scopus 로고
    • What is the goal of sensory coding?
    • Field, D. J. (1994). What is the goal of sensory coding? Neural Computation, 6, 559-601.
    • (1994) Neural Computation , vol.6 , pp. 559-601
    • Field, D.J.1
  • 24
    • 0025604930 scopus 로고
    • Forming sparse representations by local anti-hebbian learning
    • Földiák, P. (1990). Forming sparse representations by local anti-Hebbian learning. Biological Cybernetics, 64, 165-170.
    • (1990) Biological Cybernetics , vol.64 , pp. 165-170
    • Földiák, P.1
  • 25
    • 0000435426 scopus 로고
    • Finding compact and sparse-distributed representations of visual images
    • Fyfe, C. & Baddeley, R. (1995). Finding compact and sparse-distributed representations of visual images. Network, 6, 333-344.
    • (1995) Network , vol.6 , pp. 333-344
    • Fyfe, C.1    Baddeley, R.2
  • 26
    • 0040920986 scopus 로고
    • Performance of stochastic net
    • Goodall, M. C. (1960). Performance of stochastic net. Nature, 185, 557-558.
    • (1960) Nature , vol.185 , pp. 557-558
    • Goodall, M.C.1
  • 27
    • 36149034635 scopus 로고
    • The principal components of natural images
    • Hancock, P. J. B., Baddeley, R. J. & Smith, L. S. (1992). The principal components of natural images. Network, 3, 61-72.
    • (1992) Network , vol.3 , pp. 61-72
    • Hancock, P.J.B.1    Baddeley, R.J.2    Smith, L.S.3
  • 28
    • 0000852458 scopus 로고    scopus 로고
    • Development of low entropy coding in a recurrent network
    • in press
    • Harpur, G. F. & Prager, R. W. (1996). Development of low entropy coding in a recurrent network. Network, in press.
    • (1996) Network
    • Harpur, G.F.1    Prager, R.W.2
  • 30
    • 0014266913 scopus 로고
    • Receptive fields and functional architecture of monkey striate cortex
    • Hubel, D. H. & Wiesel, T. N. (1968). Receptive fields and functional architecture of monkey striate cortex. Journal of Physiology, 195, 215-244.
    • (1968) Journal of Physiology , vol.195 , pp. 215-244
    • Hubel, D.H.1    Wiesel, T.N.2
  • 31
    • 0016278311 scopus 로고
    • Uniformity of monkey striate cortex: A parallel relationship between field size, scatter, and magnification factor
    • Hubel, D. H. & Wiesel, T. N. (1974). Uniformity of monkey striate cortex: a parallel relationship between field size, scatter, and magnification factor. Journal of Comparative Neurology, 158, 295-306.
    • (1974) Journal of Comparative Neurology , vol.158 , pp. 295-306
    • Hubel, D.H.1    Wiesel, T.N.2
  • 33
    • 0001919309 scopus 로고
    • Feature extraction using an unsupervised neural network
    • Intrator, N. (1992). Feature extraction using an unsupervised neural network. Neural Computation, 4, 98-107.
    • (1992) Neural Computation , vol.4 , pp. 98-107
    • Intrator, N.1
  • 34
    • 0026191274 scopus 로고
    • Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture
    • Jutten, C. & Hérault, J. (1991). Blind separation of sources, Part I: an adaptive algorithm based on neuromimetic architecture. Signal Processing, 24, 1-10.
    • (1991) Signal Processing , vol.24 , pp. 1-10
    • Jutten, C.1    Hérault, J.2
  • 35
  • 37
    • 0019620028 scopus 로고
    • A simple coding procedure enhances a neuron's information capacity
    • Laughlin, S. (1981). A simple coding procedure enhances a neuron's information capacity. Z. Naturforsch., 36, 910-912.
    • (1981) Z. Naturforsch , vol.36 , pp. 910-912
    • Laughlin, S.1
  • 38
    • 0028050061 scopus 로고
    • Formation of receptive fields in realistic visual environments according to the Bienestock, Cooper and Munro (BCM) theory
    • Law, C. C. & Cooper, L. N. (1994). Formation of receptive fields in realistic visual environments according to the Bienestock, Cooper and Munro (BCM) theory. Proceedings of the National Academy of Sciences USA, 91, 7797-7801.
    • (1994) Proceedings of the National Academy of Sciences USA , vol.91 , pp. 7797-7801
    • Law, C.C.1    Cooper, L.N.2
  • 40
    • 0001525549 scopus 로고
    • Local synaptic learning rules suffice to maximise mutual information in a linear network
    • Linsker, R. (1992). Local synaptic learning rules suffice to maximise mutual information in a linear network. Neural Computation, 4, 691-702.
    • (1992) Neural Computation , vol.4 , pp. 691-702
    • Linsker, R.1
  • 41
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • Linsker, R. (1988). Self-organization in a perceptual network. Computer, 21, 105-117.
    • (1988) Computer , vol.21 , pp. 105-117
    • Linsker, R.1
  • 43
    • 0001834698 scopus 로고
    • Correlation-based models of neural development
    • Gluck, M. & Rumelhart, D. (Eds). Hillsdale, NJ: Lawrence Erlbaum
    • Miller, K. D. (1988). Correlation-based models of neural development. In Gluck, M. & Rumelhart, D. (Eds), Neuroscience and connectionist theory (pp. 267-353). Hillsdale, NJ: Lawrence Erlbaum.
    • (1988) Neuroscience and Connectionist Theory , pp. 267-353
    • Miller, K.D.1
  • 44
    • 0000772267 scopus 로고
    • Non-linear neurons in the low noise limit: A factorial code maximises information transfer
    • Nadal, J-P. & Parga, N. (1994). Non-linear neurons in the low noise limit: a factorial code maximises information transfer. Network, 5, 565-581.
    • (1994) Network , vol.5 , pp. 565-581
    • Nadal, J.-P.1    Parga, N.2
  • 45
    • 0026954958 scopus 로고
    • Neural networks, principal components and linear neural networks
    • Oja, E. (1989). Neural networks, principal components and linear neural networks. Neural Networks, 5, 927-935.
    • (1989) Neural Networks , vol.5 , pp. 927-935
    • Oja, E.1
  • 48
    • 0002049291 scopus 로고
    • Separation of a mixture of independent sources through a maximum likelihood approach
    • Pham, D. T., Garrat, P. & Jutten, C. (1992). Separation of a mixture of independent sources through a maximum likelihood approach, in Proc. EU-SIPCO, 771-774.
    • (1992) Proc. EU-SIPCO , pp. 771-774
    • Pham, D.T.1    Garrat, P.2    Jutten, C.3
  • 50
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer network
    • Sanger, T. D. (1989). Optimal unsupervised learning in a single-layer network. Neural Networks, 2, 459-473.
    • (1989) Neural Networks , vol.2 , pp. 459-473
    • Sanger, T.D.1
  • 51
    • 0039238512 scopus 로고    scopus 로고
    • Semi-linear predictability minimization produces well-known feature detectors
    • in press
    • Schmidhuber, J., Eldracher, M. & Foltin, B. (1996). Semi-linear predictability minimization produces well-known feature detectors, Neural Computation, in press.
    • (1996) Neural Computation
    • Schmidhuber, J.1    Eldracher, M.2    Foltin, B.3
  • 53
    • 0029725825 scopus 로고    scopus 로고
    • Blind separation of convolved sources based on information maximisation
    • Kyota, Japan, Sept. 1996
    • Torkkola, K. (1996). Blind separation of convolved sources based on information maximisation. Proc. IEEE Workshop on Neural Networks and Signal Processing, Kyota, Japan, Sept. 1996.
    • (1996) Proc. IEEE Workshop on Neural Networks and Signal Processing
    • Torkkola, K.1
  • 54
    • 0027015278 scopus 로고
    • A theory of maximising sensory information
    • van Hateren, J. H. (1992). A theory of maximising sensory information. Biol. Cybern., 68, 23-29.
    • (1992) Biol. Cybern. , vol.68 , pp. 23-29
    • Van Hateren, J.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.