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Volumn 9, Issue 2, 1998, Pages 207-217

Nonlinear feedforward networks with stochastic outputs: Infomax implies redundancy reduction

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; FEEDBACK SYSTEM; INFORMATION SCIENCE; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY; STATISTICS;

EID: 0002184051     PISSN: 0954898X     EISSN: None     Source Type: Journal    
DOI: 10.1088/0954-898X_9_2_004     Document Type: Article
Times cited : (27)

References (17)
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    • The 'independent components' of natural scenes are edge filters
    • Bell A and Sejnowski T 1997 The 'independent components' of natural scenes are edge filters Vision Res. 37 3327-38
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    • Bell, A.1    Sejnowski, T.2
  • 4
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    • Redundancy reduction and independent component analysis: Algebraic and adaptive approaches
    • Nadal J-P and Parga N 1997 Redundancy reduction and independent component analysis: algebraic and adaptive approaches Neural Comput. 9 1421-56
    • (1997) Neural Comput. , vol.9 , pp. 1421-1456
    • Nadal, J.-P.1    Parga, N.2
  • 5
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    • Infomax and maximum likelihood for source separation
    • Cardoso J-F 1997 Infomax and maximum likelihood for source separation IEEE Sig. Proc. Lett. 4 (4) 112-4
    • (1997) IEEE Sig. Proc. Lett. , vol.4 , Issue.4 , pp. 112-114
    • Cardoso, J.-F.1
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    • (1992) Proc. EUSIPCO , pp. 771-774
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  • 7
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    • Theoretical predictions of spatiotemporal receptive fields of fly lmcs, and experimental validation
    • van Hateren J H 1992 Theoretical predictions of spatiotemporal receptive fields of fly lmcs, and experimental validation J. Compar. Physiol. A 171 157-70
    • (1992) J. Compar. Physiol. A , vol.171 , pp. 157-170
    • Van Hateren, J.H.1
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    • Self-organization in a perceptual network
    • Linsker R 1988 Self-organization in a perceptual network Computer 21 105-17
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    • 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: Comput. Neural Syst. 3 213-51
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.