메뉴 건너뛰기




Volumn 15, Issue 2, 2003, Pages 441-454

Equivalence of backpropagation and contrastive Hebbian learning in a layered network

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; LEARNING; PHYSIOLOGY;

EID: 0037313081     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976603762552988     Document Type: Article
Times cited : (154)

References (15)
  • 2
    • 0043170587 scopus 로고
    • Contrastive learning and neural oscillator
    • Baldi, P., & Pineda, F. (1991). Contrastive learning and neural oscillator. Neural Computation, 3, 526-545.
    • (1991) Neural Computation , vol.3 , pp. 526-545
    • Baldi, P.1    Pineda, F.2
  • 3
    • 0020970741 scopus 로고
    • Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
    • Cohen, M. A., & Grossberg, S. (1983). Absolute stability of global pattern formation and parallel memory storage by competitive neural networks. IEEE Trans. on Systems, Man, and Cybernetics, 13, 815-826.
    • (1983) IEEE Trans. on Systems, Man, and Cybernetics , vol.13 , pp. 815-826
    • Cohen, M.A.1    Grossberg, S.2
  • 4
    • 0024490816 scopus 로고
    • The recent excitement about neural networks
    • Crick, F. (1989). The recent excitement about neural networks. Nature, 337, 129-132.
    • (1989) Nature , vol.337 , pp. 129-132
    • Crick, F.1
  • 5
    • 0001590282 scopus 로고
    • Deterministic Boltzmann learning performs steepest descent in weight-space
    • Hinton, G. E. (1989). Deterministic Boltzmann learning performs steepest descent in weight-space. Neural Computation, 1, 143-150.
    • (1989) Neural Computation , vol.1 , pp. 143-150
    • Hinton, G.E.1
  • 6
    • 0001504852 scopus 로고
    • Learning representations by recirculation
    • D. Z. Anderson (Ed.), New York: American Institute of Physics
    • Hinton, G. E., & McClelland, J. (1988). Learning representations by recirculation. In D. Z. Anderson (Ed.), Neural Information Processing Systems. New York: American Institute of Physics.
    • (1988) Neural Information Processing Systems
    • Hinton, G.E.1    McClelland, J.2
  • 7
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two-state neurons
    • Hopfield, J. J. (1984). Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci. USA, 81, 3088-3092.
    • (1984) Proc. Natl. Acad. Sci. USA , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 8
    • 0001041635 scopus 로고
    • Learning algorithms and probability distributions in feed-forward and feed-back networks
    • Hopfield, J. J. (1987). Learning algorithms and probability distributions in feed-forward and feed-back networks. Proc. Natl. Acad. Sci. USA, 84, 8429-8433.
    • (1987) Proc. Natl. Acad. Sci. USA , vol.84 , pp. 8429-8433
    • Hopfield, J.J.1
  • 9
    • 0025735983 scopus 로고
    • A more biologically plausible learning rule for neural networks
    • Mazzoni, P., Andersen, R. A., & Jordan, M. I. (1991). A more biologically plausible learning rule for neural networks. Proc. Natl. Acad. Sci. USA, 88, 4433-4437.
    • (1991) Proc. Natl. Acad. Sci. USA , vol.88 , pp. 4433-4437
    • Mazzoni, P.1    Andersen, R.A.2    Jordan, M.I.3
  • 10
    • 0002852592 scopus 로고
    • Contrastive Hebbian learning in the continuous Hopfield model
    • D. Touretzky, J. Elman, T. Sejnowski, & G. Hinton (Eds.), San Mateo, CA: Morgan Kaufmann
    • Movellan, J. (1990). Contrastive Hebbian learning in the continuous Hopfield model. In D. Touretzky, J. Elman, T. Sejnowski, & G. Hinton (Eds.), Proceedings of the 1990 Connectionist Models Summer School (pp. 10-17). San Mateo, CA: Morgan Kaufmann.
    • (1990) Proceedings of the 1990 Connectionist Models Summer School , pp. 10-17
    • Movellan, J.1
  • 11
    • 0001569746 scopus 로고    scopus 로고
    • Biologically plausible error-driven learning using local activation differences: The generalized recirculation algorithm
    • O'Reilly, R. (1996). Biologically plausible error-driven learning using local activation differences: The generalized recirculation algorithm. Neural Computation, 8, 895-938.
    • (1996) Neural Computation , vol.8 , pp. 895-938
    • O'Reilly, R.1
  • 12
    • 0001406440 scopus 로고
    • A mean field theory learning algorithm for neural networks
    • Peterson, C., & Anderson, J. (1987). A mean field theory learning algorithm for neural networks. Complex Systems, 1, 995-1019.
    • (1987) Complex Systems , vol.1 , pp. 995-1019
    • Peterson, C.1    Anderson, J.2
  • 14
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986b). Learning representations by back-propagating errors. Nature, 323, 533-536.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 15
    • 0023877474 scopus 로고
    • A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons
    • Zipser, D., & Andersen, R. A. (1988). A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons. Nature (London), 331, 679-684.
    • (1988) Nature (London) , vol.331 , pp. 679-684
    • Zipser, D.1    Andersen, R.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.