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Volumn 15, Issue 8, 2003, Pages 1751-1759

Learning the nonlinearity of neurons from natural visual stimuli

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; CYTOLOGY; NERVE CELL; NONLINEAR SYSTEM; PHOTOSTIMULATION; PHYSIOLOGY; VISUAL SYSTEM;

EID: 0041825352     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/08997660360675026     Document Type: Article
Times cited : (20)

References (27)
  • 1
    • 0022014331 scopus 로고
    • Spatiotemporal energy models for the perception of motion
    • Adelson, E. H., & Bergen, J. R. (1985). Spatiotemporal energy models for the perception of motion. J. Optic. Soc. Am. A, 2, 284-299.
    • (1985) J. Optic. Soc. Am. A , vol.2 , pp. 284-299
    • Adelson, E.H.1    Bergen, J.R.2
  • 2
    • 0032811754 scopus 로고    scopus 로고
    • Neural mechanisms for processing binocular information I. Simple cells
    • Anzai, A. I., Ohzawa, I., & Freeman, R. (1999). Neural mechanisms for processing binocular information I. Simple cells. J. Neurophysiol., 82, 891-908.
    • (1999) J. Neurophysiol. , vol.82 , pp. 891-908
    • Anzai, A.I.1    Ohzawa, I.2    Freeman, R.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), 1004-1034.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1004-1034
    • Bell, A.J.1    Sejnowski, T.J.2
  • 5
    • 0036458394 scopus 로고    scopus 로고
    • Learning the invariance properties of complex cells from their responses to natural stimuli
    • Einhäuser, W., Kayser, C., König, P., & Körding, K. P. (2002). Learning the invariance properties of complex cells from their responses to natural stimuli. Eur. J. Neurosci., 15, 475-486.
    • (2002) Eur. J. Neurosci. , vol.15 , pp. 475-486
    • Einhäuser, W.1    Kayser, C.2    König, P.3    Körding, K.P.4
  • 6
    • 0037095740 scopus 로고    scopus 로고
    • Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain
    • Escabi, M. A., & Schreiner, C. E. (2002). Nonlinear spectrotemporal sound analysis by neurons in the auditory midbrain. J. Neurosci., 22, 4114-4131.
    • (2002) J. Neurosci. , vol.22 , pp. 4114-4131
    • Escabi, M.A.1    Schreiner, C.E.2
  • 7
    • 0033570807 scopus 로고    scopus 로고
    • Independent component analysis: A flexible nonlinearity and decorrelating manifold approach
    • Everson, R. M., & Roberts, S. J. (1998). Independent component analysis: A flexible nonlinearity and decorrelating manifold approach. Neural Computation, 11, 1957-1983.
    • (1998) Neural Computation , vol.11 , pp. 1957-1983
    • Everson, R.M.1    Roberts, S.J.2
  • 8
    • 0037198718 scopus 로고    scopus 로고
    • Nonlinear signal transfer from mouse rods to bipolar cells and implications for visual sensitivity
    • Field, G. D., & Rieke, F. (2002). Nonlinear signal transfer from mouse rods to bipolar cells and implications for visual sensitivity. Neuron, 34, 773-785.
    • (2002) Neuron , vol.34 , pp. 773-785
    • Field, G.D.1    Rieke, F.2
  • 9
    • 0000188120 scopus 로고
    • Learning invariance from transformation sequences
    • Földiak, P. (1991). Learning invariance from transformation sequences. Neural Computation, 3, 194-200.
    • (1991) Neural Computation , vol.3 , pp. 194-200
    • Földiak, P.1
  • 10
    • 0034778437 scopus 로고    scopus 로고
    • Role of cortical feedback in the receptive field structure and nonlinear response properties of somatosensory thalamic neurons
    • Ghanzafar, A. A., Krupa, D. J., & Nicolelis, M. A. L. (2001). Role of cortical feedback in the receptive field structure and nonlinear response properties of somatosensory thalamic neurons. Exp. Brain Res., 141, 88-100.
    • (2001) Exp. Brain Res. , vol.141 , pp. 88-100
    • Ghanzafar, A.A.1    Krupa, D.J.2    Nicolelis, M.A.L.3
  • 11
    • 84958967351 scopus 로고    scopus 로고
    • Extracting slow subspaces from natural videos leads to complex cells
    • G. Dorffner, H. Bischoff, & K. Kornik (Eds.), Berlin: Springer-Verlag
    • Kayser, C., Einhäuser, W., Dümmer, O., König, P., & Körding, K. P. (2001). Extracting slow subspaces from natural videos leads to complex cells. In G. Dorffner, H. Bischoff, & K. Kornik (Eds.), Proc. Int. Conf. Artif. Neural Netw. (ICANN) (pp. 1075-1080). Berlin: Springer-Verlag.
    • (2001) Proc. Int. Conf. Artif. Neural Netw. (ICANN) , pp. 1075-1080
    • Kayser, C.1    Einhäuser, W.2    Dümmer, O.3    König, P.4    Körding, K.P.5
  • 12
    • 0041707458 scopus 로고    scopus 로고
    • Temporal correlations of orientations in natural scenes
    • in press
    • Kayser, C., Einhäuser, W., & König, P. (in press). Temporal correlations of orientations in natural scenes. Neurocomputing.
    • Neurocomputing
    • Kayser, C.1    Einhäuser, W.2    König, P.3
  • 13
    • 0037172984 scopus 로고    scopus 로고
    • Computational subunits of visual cortical neurons revealed by artificial neural networks
    • Lau, B., Stanley, G. B., & Dan, Y. (2002). Computational subunits of visual cortical neurons revealed by artificial neural networks. Proc. Natl. Acad. Sci. USA, 99, 8974-8979.
    • (2002) Proc. Natl. Acad. Sci. USA , vol.99 , pp. 8974-8979
    • Lau, B.1    Stanley, G.B.2    Dan, Y.3
  • 14
    • 0036212160 scopus 로고    scopus 로고
    • Efficient coding of natural sounds
    • Lewicki, M. S. (2002). Efficient coding of natural sounds. Nature Neurosci., 5(4), 356-363.
    • (2002) Nature Neurosci. , vol.5 , Issue.4 , pp. 356-363
    • Lewicki, M.S.1
  • 15
    • 0000898841 scopus 로고
    • Information processing in dendritic trees
    • Mel, B. (1994). Information processing in dendritic trees. Neural Computation, 6, 1031-1085.
    • (1994) Neural Computation , vol.6 , pp. 1031-1085
    • Mel, B.1
  • 16
    • 0018196455 scopus 로고
    • Receptive field organization of complex cells in the cat's striate cortex
    • Movshon, J. A., Thompson, I. D., & Tolhurst, D. J. (1978). Receptive field organization of complex cells in the cat's striate cortex. J. Physiol. (London), 283, 79-99.
    • (1978) J. Physiol. (London) , vol.283 , pp. 79-99
    • Movshon, J.A.1    Thompson, I.D.2    Tolhurst, D.J.3
  • 17
    • 0000772267 scopus 로고
    • Nonlinear neurons in the low-noise limit: A factorial code maximized information transfer
    • Nadal, J.-P., & Parga, N. (1994). Nonlinear neurons in the low-noise limit: A factorial code maximized information transfer. Network: Computation in Neural Systems, 5, 565-581.
    • (1994) Network: Computation in Neural Systems , vol.5 , pp. 565-581
    • Nadal, J.-P.1    Parga, N.2
  • 18
    • 0032533057 scopus 로고    scopus 로고
    • Information maximization and independent component analysis: Is there a difference?
    • Obradovic, D. & Deco, G. (1998). Information maximization and independent component analysis: Is there a difference? Neural Computation, 10(8), 2085-2101.
    • (1998) Neural Computation , vol.10 , Issue.8 , pp. 2085-2101
    • Obradovic, D.1    Deco, G.2
  • 19
    • 84898936603 scopus 로고    scopus 로고
    • Maximum likelihood blind source separation: A context-sensitive generalization of ICA
    • M. Mozer, J. Jordan, & T. Petsche (Eds.), Cambridge, MA: MIT Press
    • Pearlmutter, B., & Parra, L. (1997). Maximum likelihood blind source separation: A context-sensitive generalization of ICA. In M. Mozer, J. Jordan, & T. Petsche (Eds.), Advances in neural information processing systems, 9 (pp. 613-619). Cambridge, MA: MIT Press.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 613-619
    • Pearlmutter, B.1    Parra, L.2
  • 20
    • 0034920695 scopus 로고    scopus 로고
    • Influence of dendritic conductances on the input-output properties of neurons
    • Reyes, A. (2002). Influence of dendritic conductances on the input-output properties of neurons. Annu. Rev. Neurosci., 24, 653-675.
    • (2002) Annu. Rev. Neurosci. , vol.24 , pp. 653-675
    • Reyes, A.1
  • 22
    • 0017054801 scopus 로고
    • Quantitative studies of single cell properties in monkey striate cortex. III. Spatial frequency
    • Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976). Quantitative studies of single cell properties in monkey striate cortex. III. Spatial frequency. J. Neurophysiol., 39, 1334-1351.
    • (1976) J. Neurophysiol. , vol.39 , pp. 1334-1351
    • Schiller, P.H.1    Finlay, B.L.2    Volman, S.F.3
  • 23
    • 0033571851 scopus 로고    scopus 로고
    • Temporal characteristics of response integration evoked by multiple whisker stimulations in the barrel cortex of rats
    • Shimegi, S., Ichikawa, T., Akasaki, T., & Sato, H. (1999). Temporal characteristics of response integration evoked by multiple whisker stimulations in the barrel cortex of rats. J. Neurosci., 19, 10164-10175.
    • (1999) J. Neurosci. , vol.19 , pp. 10164-10175
    • Shimegi, S.1    Ichikawa, T.2    Akasaki, T.3    Sato, H.4
  • 24
    • 0034934777 scopus 로고    scopus 로고
    • Natural image statistics and neural representation
    • Simoncelli, E.P., & Olshausen, B.A. (2001). Natural image statistics and neural representation. Ann. Rev. Neurosci., 24, 1193-1216.
    • (2001) Ann. Rev. Neurosci. , vol.24 , pp. 1193-1216
    • Simoncelli, E.P.1    Olshausen, B.A.2
  • 26
    • 0027498486 scopus 로고
    • The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs
    • Softky, W. R., & Koch, C. (1993). The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. J. Neurosci., 13, 334-350.
    • (1993) J. Neurosci. , vol.13 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 27
    • 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, 715-770.
    • (2002) Neural Computation , vol.14 , pp. 715-770
    • Wiskott, L.1    Sejnowski, T.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.