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Volumn 23, Issue 2, 2011, Pages 303-335

A theory of slow feature analysis for transformation-based input signals with an application to complex cells

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ARTICLE; BIOLOGICAL MODEL; HUMAN; NERVE CELL; PHYSIOLOGY; THEORETICAL MODEL; VISION; VISUAL CORTEX;

EID: 78651470442     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/NECO_a_00072     Document Type: Article
Times cited : (10)

References (27)
  • 1
    • 0022014331 scopus 로고
    • Spatiotemporal energy models for the perception of motion
    • Adelsen, E. H., & Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion. Journal Optical Society of America A, 2(2), 284-299.
    • (1985) Journal Optical Society of America A , vol.2 , Issue.2 , pp. 284-299
    • Adelsen, E.H.1    Bergen, J.R.2
  • 2
    • 50949099684 scopus 로고    scopus 로고
    • Innate visual learning through spontaneous activity patterns
    • Albert, M. V., Schnabel, A., and Field, D. J. (2008). Innate visual learning through spontaneous activity patterns. PLoS Computational Biology, 4(8), e1000137.
    • (2008) PLoS Computational Biology , vol.4 , Issue.8
    • Albert, M.V.1    Schnabel, A.2    Field, D.J.3
  • 3
    • 0029411030 scopus 로고
    • An information maximization approach to blind separation and blind deconvolution
    • Bell, A. J., & Sejnowski, T. J. (1995). An information maximization approach to blind separation and blind deconvolution. Neural Computation, 7(6), 1129-1159.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 4
    • 27244444336 scopus 로고    scopus 로고
    • Slow feature analysis yields a rich repertoire of complex cell properties
    • Berkes, P., & Wiskott, L. (2005). Slow feature analysis yields a rich repertoire of complex cell properties. Journal of Vision, 5(6), 579-602.
    • (2005) Journal of Vision , vol.5 , Issue.6 , pp. 579-602
    • Berkes, P.1    Wiskott, L.2
  • 6
    • 78651487995 scopus 로고    scopus 로고
    • Learning complex cell units from simulated prenatal retinal waves with slow feature analysis
    • London: BioMed Central
    • Dähne, S., Wilbert, N., & Wiskott, L. (2009). Learning complex cell units from simulated prenatal retinal waves with slow feature analysis. In Eighteenth Annual Computational Neuroscience Meeting CNS*2009 (Vol. 10, p. 129). London: BioMed Central.
    • (2009) Eighteenth Annual Computational Neuroscience Meeting CNS*2009 , vol.10 , pp. 129
    • Dähne, S.1    Wilbert, N.2    Wiskott, L.3
  • 7
    • 0020047781 scopus 로고
    • The orientation and direction selectivity of cells in macaque visual cortex
    • De Valois, R. L., Yund, E. W., & Hepler, N. (1982). The orientation and direction selectivity of cells in macaque visual cortex. Vision Research, 22, 531-544.
    • (1982) Vision Research , vol.22 , pp. 531-544
    • De Valois, R.L.1    Yund, E.W.2    Hepler, N.3
  • 8
    • 41149149127 scopus 로고    scopus 로고
    • Spatiotemporal inseparability of natural images and visual sensitivities
    • J. M. Zanker & J. Zeil (Eds.), New York: Springer
    • Dong, D. W. (2001). Spatiotemporal inseparability of natural images and visual sensitivities. In J. M. Zanker & J. Zeil (Eds.), Computational, neural and ecological constraints of visual motion processing. New York: Springer.
    • (2001) Computational, neural and ecological constraints of visual motion processing
    • Dong, D.W.1
  • 10
    • 34548412214 scopus 로고    scopus 로고
    • Slowness and sparseness lead to place, head-direction, and spatial-view cells
    • Franzius, M., Sprekeler, H., & Wiskott, L. (2007). Slowness and sparseness lead to place, head-direction, and spatial-view cells. PLoS Computationl Biology, 3(8), e166.
    • (2007) PLoS Computationl Biology , vol.3 , Issue.8
    • Franzius, M.1    Sprekeler, H.2    Wiskott, L.3
  • 11
    • 0015244417 scopus 로고
    • Modification of the distribution of receptive field orientation in cats by selective visual exposure during development
    • Hirsch, H., & Spinelli, D. (1971). Modification of the distribution of receptive field orientation in cats by selective visual exposure during development. Experimental Brain Research, 12(5), 509-527.
    • (1971) Experimental Brain Research , vol.12 , Issue.5 , pp. 509-527
    • Hirsch, H.1    Spinelli, D.2
  • 12
    • 78651128788 scopus 로고
    • Receptive fields of cells in striate cortex of very young, visually inexperienced kittens
    • Hubel, D., & Wiesel, T. (1963). Receptive fields of cells in striate cortex of very young, visually inexperienced kittens. Journal of Neurophysiology, 26(6), 994-1002.
    • (1963) Journal of Neurophysiology , vol.26 , Issue.6 , pp. 994-1002
    • Hubel, D.1    Wiesel, T.2
  • 13
    • 18244431804 scopus 로고    scopus 로고
    • How are complex cell properties adapted to the statistics of natural stimuli?
    • Körding, K., Kayser, C., Einhäuser, W., & König, P. (2004). How are complex cell properties adapted to the statistics of natural stimuli? Journal of Neurophysiology, 91(1), 206-212.
    • (2004) Journal of Neurophysiology , vol.91 , Issue.1 , pp. 206-212
    • Körding, K.1    Kayser, C.2    Einhäuser, W.3    König, P.4
  • 15
    • 51749124671 scopus 로고    scopus 로고
    • Unsupervised natural experience rapidly alters invariant object representation in visual cortex
    • Li, N., & DiCarlo, J. J. (2008). Unsupervised natural experience rapidly alters invariant object representation in visual cortex. Science, 321(5895), 1502-1507.
    • (2008) Science , vol.321 , Issue.5895 , pp. 1502-1507
    • Li, N.1    DiCarlo, J.J.2
  • 16
    • 23244464284 scopus 로고    scopus 로고
    • Molecular gradients and development of retinotopic maps
    • McLaughlin, T., & O'Leary, D. (2005). Molecular gradients and development of retinotopic maps. Annual Reviews of Neuroscience, 28, 327-355.
    • (2005) Annual Reviews of Neuroscience , vol.28 , pp. 327-355
    • Mclaughlin, T.1    O'Leary, D.2
  • 17
    • 35548935651 scopus 로고    scopus 로고
    • Learning the Lie groups of visual invariance
    • Miao, X., & Rao, R. P. N. (2007). Learning the Lie groups of visual invariance. Neural Computation, 19(10), 2665-2693.
    • (2007) Neural Computation , vol.19 , Issue.10 , pp. 2665-2693
    • Miao, X.1    Rao, R.P.N.2
  • 18
    • 0023812211 scopus 로고
    • Neuronal correlate of visual associative long-term memory in the primate temporal cortex
    • Miyashita, Y. (1988). Neuronal correlate of visual associative long-term memory in the primate temporal cortex. Nature, 335(6193), 817-820.
    • (1988) Nature , vol.335 , Issue.6193 , pp. 817-820
    • Miyashita, Y.1
  • 19
    • 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
  • 20
    • 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
  • 21
    • 84898929164 scopus 로고    scopus 로고
    • Learning Lie groups for invariant visual perception
    • M.S.Kears, S.A.Sola,&D. N. Cohn (Eds.), Cambridge, MA: MIT Press
    • Rao, R., & Ruderman, D. (1998). Learning Lie groups for invariant visual perception. In M.S.Kears, S.A.Sola,&D. N. Cohn (Eds.),Neural information processing systems, 11 (pp. 810-816). Cambridge, MA: MIT Press.
    • (1998) Neural information processing systems , vol.11 , pp. 810-816
    • Rao, R.1    Ruderman, D.2
  • 22
    • 37549005296 scopus 로고    scopus 로고
    • On the origin of the functional architecture of the cortex
    • Ringach, D. (2007). On the origin of the functional architecture of the cortex. PLoS ONE, 2(2), e251.
    • (2007) PLoS ONE , vol.2 , Issue.2
    • Ringach, D.1
  • 23
    • 0001187198 scopus 로고
    • Statistics of natural images: Scaling in the woods
    • Ruderman, D. L., & Bialek, W. (1994). Statistics of natural images: Scaling in the woods. Physical Review Letters, 73(6), 814-817.
    • (1994) Physical Review Letters , vol.73 , Issue.6 , pp. 814-817
    • Ruderman, D.L.1    Bialek, W.2
  • 25
    • 0041324871 scopus 로고    scopus 로고
    • Slow feature analysis: A theoretical analysis of optimal free responses
    • Wiskott, L. (2003). Slow feature analysis: A theoretical analysis of optimal free responses. Neural Computation, 15(9), 2147-2177.
    • (2003) Neural Computation , vol.15 , Issue.9 , pp. 2147-2177
    • Wiskott, L.1
  • 26
    • 0036546660 scopus 로고    scopus 로고
    • Slow feature analysis: Unsupervised learning of invariances
    • Wiskott, L., & Sejnowski, T. (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.2
  • 27
    • 0035950226 scopus 로고    scopus 로고
    • Stimulus timing-dependent plasticity in cortical processing of orientation
    • Yao, H., & Dan, Y. (2001). Stimulus timing-dependent plasticity in cortical processing of orientation. Neuron, 32(2), 315-323.
    • (2001) Neuron , vol.32 , Issue.2 , pp. 315-323
    • Yao, H.1    Dan, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.