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Volumn , Issue , 2002, Pages 141-148

Temporal Coherence, Natural Image Sequences, and the Visual Cortex

Author keywords

[No Author keywords available]

Indexed keywords

CYTOLOGY;

EID: 84879875363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (16)
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    • Földiák, Peter1
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    • Learning visual parameters using spatiotemporal smoothness constraints
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    • Stone, James1
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    • Slow feature analysis: Unsupervised learning of invariances
    • Laurenz Wiskott and Terrence J. Sejnowski. Slow feature analysis: Unsupervised learning of invariances. Neural Computation, 14(4):715-770, 2002.
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    • Wiskott, Laurenz1    Sejnowski, Terrence J.2
  • 10
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    • Simple-cell-like receptive fields maximize temporal coherence in natural video
    • press
    • Jarmo Hurri and Aapo Hyvärinen. Simple-cell-like receptive fields maximize temporal coherence in natural video. Neural Computation, 2003. In press.
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    • Hurri, Jarmo1    Hyvärinen, Aapo2
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    • A neural net for blind separation of nonstationary signals
    • Kiyotoshi Matsuoka, Masahiro Ohya, and Mitsuru Kawamoto. A neural net for blind separation of nonstationary signals. Neural Networks, 8(3):411-419, 1995.
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    • Matsuoka, Kiyotoshi1    Ohya, Masahiro2    Kawamoto, Mitsuru3
  • 12
    • 0035506142 scopus 로고    scopus 로고
    • Blind source separation by nonstationarity of variance: A cumulant-based approach
    • Aapo Hyvärinen. Blind source separation by nonstationarity of variance: A cumulant-based approach. IEEE Transactions on Neural Networks, 12(6):1471-1474, 2001.
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.6 , pp. 1471-1474
    • Hyvärinen, Aapo1
  • 13
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    • A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
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    • Independent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.