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Volumn , Issue , 2012, Pages 555-560

Intrinsic plasticity via natural gradient descent

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS;

EID: 84947730351     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (10)
  • 1
    • 0022471098 scopus 로고
    • Learning repre- sentations by back-propagating errors
    • Rumelhart, D. E. and Hinton, G. E. and Williams, R. J.: Learning repre- sentations by back-propagating errors. Nature, pages 533-536, volume 323, 1986.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 2
    • 0003355631 scopus 로고
    • Differential-Geometrical Methods in Statistics
    • New-York: Springer-Verlag
    • Amari Shun-ichi: Differential-Geometrical Methods in Statistics. Lecture Notes in Statistics 28, New-York: Springer-Verlag, 1985.
    • (1985) Lecture Notes in Statistics , vol.28
    • Shun-Ichi, A.1
  • 3
    • 0000396062 scopus 로고    scopus 로고
    • Natural gradient works eficiently in learning
    • Amari Shun-Ichi: Natural gradient works eficiently in learning. Neural Computation, pages 251-276, volume 10, 1998.
    • (1998) Neural Computation , vol.10 , pp. 251-276
    • Shun-Ichi, A.1
  • 6
    • 33646165467 scopus 로고    scopus 로고
    • Synergies beween Intrinsic and Synaptic Plasticity in Individual Model Neurons
    • Triesch, J.: Synergies beween Intrinsic and Synaptic Plasticity in Individual Model Neurons. NIPS, 2005.
    • (2005) NIPS
    • Triesch, J.1
  • 7
    • 34249811184 scopus 로고    scopus 로고
    • Online Reservoir Adaptation by Intrinsic Plasticity for Backprop- agation - Decorrelation and Echo State Learning
    • Steil, J. J.: Online Reservoir Adaptation by Intrinsic Plasticity for Backprop- agation - Decorrelation and Echo State Learning. Neural Networks, Special Issue on Echo State and Liquid State networks, pages 353-364, 2007.
    • (2007) Neural Networks, Special Issue on Echo State and Liquid State Networks , pp. 353-364
    • Steil, J.J.1
  • 8
    • 0001915002 scopus 로고
    • Information and the accuracy attainable in the estimation of statistical parameters
    • Rao, C. R.: Information and the accuracy attainable in the estimation of statistical parameters. Bull. Calcutta Math. Soc., 1945.
    • (1945) Bull. Calcutta Math. Soc
    • Rao, C.R.1
  • 9
    • 0001927585 scopus 로고
    • On Information and Sufficiency
    • Kullback, S. and Leibler, A.: On Information and Sufficiency. Ann. Math. Statist., pages 79-86, volume 22, number 1, 1951.
    • (1951) Ann. Math. Statist , vol.22 , Issue.1 , pp. 79-86
    • Kullback, S.1    Leibler, A.2
  • 10
    • 33745785636 scopus 로고    scopus 로고
    • Classification of stationary neuronal activity according to its information rate
    • Kostal, L. and Lansky, P.: Classification of stationary neuronal activity according to its information rate. Network Computation in Neural Systems, volume 17, pages 193-210, 2006.
    • (2006) Network Computation in Neural Systems , vol.17 , pp. 193-210
    • Kostal, L.1    Lansky, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.