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Volumn 2, Issue 2, 2010, Pages 251-264

Statistical models of natural images and cortical visual representation

Author keywords

Computational models; Natural image statistics; Natural scenes; Probabilistic models; Vision

Indexed keywords

BIOLOGICAL MODEL; HUMAN; LEARNING; NERVE CELL; PHOTOSTIMULATION; PHYSIOLOGY; STATISTICAL MODEL; VISION; VISUAL CORTEX;

EID: 79957657604     PISSN: 17568757     EISSN: 17568765     Source Type: Journal    
DOI: 10.1111/j.1756-8765.2009.01057.x     Document Type: Article
Times cited : (31)

References (42)
  • 1
    • 0002014402 scopus 로고
    • Possible principles underlying the transformations of sensory messages
    • In W. A. Rosenblith (Ed.), Cambridge, MA: MIT Press.
    • Barlow, H. B. (1961). Possible principles underlying the transformations of sensory messages. In W. A. Rosenblith (Ed.), Sensory communication (pp. 217-234). Cambridge, MA: MIT Press.
    • (1961) Sensory communication , pp. 217-234
    • Barlow, H.B.1
  • 2
    • 0030832881 scopus 로고    scopus 로고
    • The "independent components" of natural scenes are edge filters
    • Bell, A. J., & Sejnowski, T. J. (1997). The "independent components" of natural scenes are edge filters. Vision Research, 37, 3327-3338.
    • (1997) Vision Research , vol.37 , pp. 3327-3338
    • Bell, A.J.1    Sejnowski, T.J.2
  • 3
    • 0026780858 scopus 로고
    • Orientation selectivity, preference, and continuity in monkey striate cortex
    • Blasdel, G. G. (1992). Orientation selectivity, preference, and continuity in monkey striate cortex. Journal of Neuroscience, 12(8), 3139-3161.
    • (1992) Journal of Neuroscience , vol.12 , Issue.8 , pp. 3139-3161
    • Blasdel, G.G.1
  • 4
    • 0037784095 scopus 로고    scopus 로고
    • Variance normalisation: A key mechanism for temporal adaptation in natural vision?
    • Buiatti, M., & Van Vreeswijk, C. (2003). Variance normalisation: A key mechanism for temporal adaptation in natural vision? Vision Research, 43, 1895-1906.
    • (2003) Vision Research , vol.43 , pp. 1895-1906
    • Buiatti, M.1    Van Vreeswijk, C.2
  • 5
    • 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
  • 6
    • 0033562793 scopus 로고    scopus 로고
    • Functional micro-organization of primary visual cortex: Receptive field analysis of nearby neurons
    • DeAngelis, G. C., Ghose, G. M., Ohzawa, I., & Freeman, R. D. (1999). Functional micro-organization of primary visual cortex: Receptive field analysis of nearby neurons. Journal of Neuroscience, 19(10), 4046-4064.
    • (1999) Journal of Neuroscience , vol.19 , Issue.10 , pp. 4046-4064
    • DeAngelis, G.C.1    Ghose, G.M.2    Ohzawa, I.3    Freeman, R.D.4
  • 7
    • 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
  • 8
    • 0000188120 scopus 로고
    • Learning invariance from transformation sequences
    • Földiák, P. (1991). Learning invariance from transformation sequences. Neural Computation, 3, 194-200.
    • (1991) Neural Computation , vol.3 , pp. 194-200
    • Földiák, P.1
  • 9
    • 41149163635 scopus 로고    scopus 로고
    • Visual perception and the statistical properties of natural scenes
    • Geisler, W. S. (2008). Visual perception and the statistical properties of natural scenes. Annual Review of Psychology, 59, 167-192.
    • (2008) Annual Review of Psychology , vol.59 , pp. 167-192
    • Geisler, W.S.1
  • 10
    • 0035281850 scopus 로고    scopus 로고
    • Edge co-occurrence in natural images predicts contour grouping performance
    • Geisler, W. S., Perry, J. S., Super, B. J., & Gallogly, D. P. (2001). Edge co-occurrence in natural images predicts contour grouping performance. Vision Research, 41, 711-724.
    • (2001) Vision Research , vol.41 , pp. 711-724
    • Geisler, W.S.1    Perry, J.S.2    Super, B.J.3    Gallogly, D.P.4
  • 12
    • 0032495066 scopus 로고    scopus 로고
    • Independent component analysis of natural image sequences yields spatiotemporal filters similar to simple cells in primary visual cortex
    • Van Hateren, J. H., & Ruderman, D. L. (1998). Independent component analysis of natural image sequences yields spatiotemporal filters similar to simple cells in primary visual cortex. Proceedings of the Royal Society Series B, 265, 2315-2320.
    • (1998) Proceedings of the Royal Society Series B , vol.265 , pp. 2315-2320
    • Van Hateren, J.H.1    Ruderman, D.L.2
  • 13
    • 0032492432 scopus 로고    scopus 로고
    • Independent component filters of natural images compared with simple cells in primary visual cortex
    • Van Hateren, J. H., & Van Der Schaaf, A. (1998). Independent component filters of natural images compared with simple cells in primary visual cortex. Proceedings of the Royal Society Series B, 265, 359-366.
    • (1998) Proceedings of the Royal Society Series B , vol.265 , pp. 359-366
    • Van Hateren, J.H.1    Van Der Schaaf, A.2
  • 14
    • 0026904517 scopus 로고
    • Normalization of cell responses in cat striate cortex
    • Heeger, D. (1992). Normalization of cell responses in cat striate cortex. Visual Neuroscience, 9, 181-198.
    • (1992) Visual Neuroscience , vol.9 , pp. 181-198
    • Heeger, D.1
  • 15
    • 0037365920 scopus 로고    scopus 로고
    • Simple-cell-like receptive fields maximize temporal coherence in natural video
    • Hurri, J., & Hyvärinen, A. (2003). Simple-cell-like receptive fields maximize temporal coherence in natural video. Neural Computation, 15(3), 663-691.
    • (2003) Neural Computation , vol.15 , Issue.3 , pp. 663-691
    • Hurri, J.1    Hyvärinen, A.2
  • 16
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • Hyvärinen, A. (1999a). Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks, 10(3), 626-634.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.3 , pp. 626-634
    • Hyvärinen, A.1
  • 17
    • 0348223982 scopus 로고    scopus 로고
    • Sparse code shrinkage: Denoising of non-Gaussian data by maximum likelihood estimation
    • Hyvärinen, A. (1999b). Sparse code shrinkage: Denoising of non-Gaussian data by maximum likelihood estimation. Neural Computation, 11(7), 1739-1768.
    • (1999) Neural Computation , vol.11 , Issue.7 , pp. 1739-1768
    • Hyvärinen, A.1
  • 18
    • 26444552966 scopus 로고    scopus 로고
    • Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2
    • Hyvärinen, A., Gutmann, M., & Hoyer, P. O. (2005). Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2. BMC Neuroscience, 6(12).
    • (2005) BMC Neuroscience , vol.6 , Issue.12
    • Hyvärinen, A.1    Gutmann, M.2    Hoyer, P.O.3
  • 19
    • 0034222304 scopus 로고    scopus 로고
    • Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces
    • Hyvärinen, A., & Hoyer, P. O. (2000). Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces. Neural Computation, 12(7), 1705-1720.
    • (2000) Neural Computation , vol.12 , Issue.7 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.O.2
  • 20
    • 0034920427 scopus 로고    scopus 로고
    • A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
    • Hyvärinen, A., & Hoyer, P. O. (2001). A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images. Vision Research, 41(18), 2413-2423.
    • (2001) Vision Research , vol.41 , Issue.18 , pp. 2413-2423
    • Hyvärinen, A.1    Hoyer, P.O.2
  • 22
    • 17544384568 scopus 로고    scopus 로고
    • Bubbles: A unifying framework for low-level statistical properties of natural image sequences
    • Hyvärinen, A., Hurri, J., & Väyrynen, J. (2003). Bubbles: A unifying framework for low-level statistical properties of natural image sequences. Journal of the Optical Society of America A, 20(7), 1237-1252.
    • (2003) Journal of the Optical Society of America A , vol.20 , Issue.7 , pp. 1237-1252
    • Hyvärinen, A.1    Hurri, J.2    Väyrynen, J.3
  • 24
    • 79952401689 scopus 로고    scopus 로고
    • Emergence of complex cell properties by learning to generalize in natural scenes
    • Karklin, Y., & Lewicki, M. S. (2008). Emergence of complex cell properties by learning to generalize in natural scenes. Nature, 104, 19120-19125.
    • (2008) Nature , vol.104 , pp. 19120-19125
    • Karklin, Y.1    Lewicki, M.S.2
  • 26
    • 38149009811 scopus 로고    scopus 로고
    • A two-layer ICA-like model estimated by score matching
    • In J. P. Marques de Sa, W. Duch & L. A. Alexandre (Eds.), Porto, Portugal. Berlin: Springer-Verlag.
    • Köster, U., & Hyvärinen, A. (2007). A two-layer ICA-like model estimated by score matching. In J. P. Marques de Sa, W. Duch & L. A. Alexandre (Eds.), Proceedings of the international conference on artificial neural networks (ICANN2007) (pp. 798-807). Porto, Portugal. Berlin: Springer-Verlag.
    • (2007) Proceedings of the international conference on artificial neural networks (ICANN2007) , pp. 798-807
    • Köster, U.1    Hyvärinen, A.2
  • 29
    • 0032178255 scopus 로고    scopus 로고
    • Collinearity and parallelism are statistically significant second order relations of complex cell responses
    • Krüger, N. (1998). Collinearity and parallelism are statistically significant second order relations of complex cell responses. Neural Processing Letters, 8, 117-129.
    • (1998) Neural Processing Letters , vol.8 , pp. 117-129
    • Krüger, N.1
  • 30
    • 0041726408 scopus 로고    scopus 로고
    • Principles of image representation in visual cortex
    • In L. M. Chalupa & J. S. Werner (Eds.), Cambridge, MA: MIT Press.
    • Olshausen, B. A. (2003). Principles of image representation in visual cortex. In L. M. Chalupa & J. S. Werner (Eds.), The visual neurosciences. Cambridge, MA: MIT Press.
    • (2003) The visual neurosciences
    • Olshausen, B.A.1
  • 31
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B. A., & Field, D. J. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381, 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 32
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by V1?
    • Olshausen, B. A., & Field, D. J. (1997). Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research, 37, 3311-3325.
    • (1997) Vision Research , vol.37 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 33
    • 33644900506 scopus 로고    scopus 로고
    • Topographic product models applied to natural scene statistics
    • Osindero, S., Welling, M., & Hinton, G. E. (2006). Topographic product models applied to natural scene statistics. Neural Computation, 18(2), 381-414.
    • (2006) Neural Computation , vol.18 , Issue.2 , pp. 381-414
    • Osindero, S.1    Welling, M.2    Hinton, G.E.3
  • 35
    • 0034939633 scopus 로고    scopus 로고
    • Natural signal statistics and sensory gain control
    • Schwartz, O., & Simoncelli, E. P. (2001). Natural signal statistics and sensory gain control. Nature Neuroscience, 4(8), 819-825.
    • (2001) Nature Neuroscience , vol.4 , Issue.8 , pp. 819-825
    • Schwartz, O.1    Simoncelli, E.P.2
  • 37
    • 84882847280 scopus 로고    scopus 로고
    • Statistical modeling of photographic images
    • In A. Bovik (Ed.), 2nd ed.). London: Academic Press.
    • Simoncelli, E. P. (2005). Statistical modeling of photographic images. In A. Bovik (Ed.), Handbook of image and video processing (2nd ed.). London: Academic Press.
    • (2005) Handbook of image and video processing
    • Simoncelli, E.P.1
  • 40
    • 0000558113 scopus 로고    scopus 로고
    • The development of topography in the visual cortex: A review of models
    • Swindale, N. V. (1996). The development of topography in the visual cortex: A review of models. Network, 7(2), 161-247.
    • (1996) Network , vol.7 , Issue.2 , pp. 161-247
    • Swindale, N.V.1
  • 41
    • 0003280252 scopus 로고    scopus 로고
    • Natural image statistics and divisive normalization: Modeling nonlinearity and adaptation in cortical neurons
    • In R. P. N. Rao, B. A. Olshausen & M. S. Lewicki, Eds.), Cambridge, MA: MIT Press.
    • Wainwright, M. J., Schwartz, O., & Simoncelli, E. P. (2002). Natural image statistics and divisive normalization: Modeling nonlinearity and adaptation in cortical neurons. In R. P. N. Rao, B. A. Olshausen & M. S. Lewicki, (Eds.), Probabilistic models of the brain (pp. 203-222). Cambridge, MA: MIT Press.
    • (2002) Probabilistic models of the brain , pp. 203-222
    • Wainwright, M.J.1    Schwartz, O.2    Simoncelli, E.P.3
  • 42
    • 0036546660 scopus 로고    scopus 로고
    • Slow feature analysis: Unsupervised learning of invariances
    • Wiskott, L., & Sejnowski, T. J. (2002). Slow feature analysis: Unsupervised learning of invariances. Neural Computation, 14(4), 715-770.
    • (2002) Neural Computation , vol.14 , Issue.4 , pp. 715-770
    • Wiskott, L.1    Sejnowski, T.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.