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Volumn , Issue , 2011, Pages 1090-1092

Reference time in SpikeProp

Author keywords

[No Author keywords available]

Indexed keywords

REFERENCE TIME; SPIKING NEURAL NETWORKS;

EID: 80054758189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2011.6033344     Document Type: Conference Paper
Times cited : (6)

References (15)
  • 1
    • 34047185153 scopus 로고    scopus 로고
    • Networks of spiking neurons: The third generation of neural network models
    • W. Maass, "Networks of spiking neurons: the third generation of neural network models," Transactions of the Society for Computer Simulation International, Vol. 14 (4), pp. 1659 - 1671, 1997.
    • (1997) Transactions of the Society for Computer Simulation International , vol.14 , Issue.4 , pp. 1659-1671
    • Maass, W.1
  • 2
    • 0031568358 scopus 로고    scopus 로고
    • Fast sigmoidal networks via spiking neurons
    • W. Maass, "Fast sigmoidal networks via spiking neurons," Neural Computation, Vol. 9, pp. 279-304, 1997.
    • (1997) Neural Computation , vol.9 , pp. 279-304
    • Maass, W.1
  • 3
    • 0002936735 scopus 로고
    • Biological constrains on connectionist modeling
    • R. Pfeifer, Z. Schreter, F. Fogelman-Soulié , L. Steels, Eds Elsevier, New York
    • S.T. Thorpe, M. Imbert, "Biological constrains on connectionist modeling," in, Connectionism in perspective, R. Pfeifer, Z. Schreter, F. Fogelman-Soulié , L. Steels, Eds. Elsevier, New York, 1989, pp. 63-92.
    • (1989) Connectionism in Perspective , pp. 63-92
    • Thorpe, S.T.1    Imbert, M.2
  • 4
    • 84898929097 scopus 로고    scopus 로고
    • Noisy spiking neurons with temporal coding have more computational power than sigmoidal neurons
    • M.C. Mozer, M.I. Jordan, T. Petsche, Eds. The MIT Press, Cambridge, MA
    • W. Maass, "Noisy spiking neurons with temporal coding have more computational power than sigmoidal neurons," in Advances in Neural Information Processing Systems 9, M.C. Mozer, M.I. Jordan, T. Petsche, Eds. The MIT Press, Cambridge, MA, 1997, pp. 2 11-217.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 211-217
    • Maass, W.1
  • 5
    • 0036826068 scopus 로고    scopus 로고
    • Error backpropagation in temporally encoded networks of spiking neurons
    • S. Bohte, J. Kok, H.L. Poutr'e, "Error backpropagation in temporally encoded networks of spiking neurons," Neurocomputing, Vol. 48, pp. 17-37, 2002.
    • (2002) Neurocomputing , vol.48 , pp. 17-37
    • Bohte, S.1    Kok, J.2    Poutr'e, H.L.3
  • 6
    • 77956761866 scopus 로고    scopus 로고
    • A framework for spiking neuron models: The spike response model
    • F. Moss, S.Gielen, Eds Elsevier Science
    • W. Gerstner, "A Framework for Spiking Neuron Models: The Spike Response Model" in: The Handbook of Biological Physics, Vol.4 (12), F. Moss, S.Gielen, Eds. Elsevier Science, 2001, pp. 469-516.
    • (2001) The Handbook of Biological Physics , vol.4 , Issue.12 , pp. 469-516
    • Gerstner, W.1
  • 9
    • 33646716352 scopus 로고    scopus 로고
    • Improving spike-prop: Enhancements to an error-backpropagation rule for spiking neural networks
    • the Netherlands
    • B. Schrauwen, J. Van Campenhout, "Improving Spike-Prop: Enhancements to an Error-Backpropagation Rule for Spiking Neural Networks," in Proceedings of the 15-th ProRISC Workshop, Veldhoven, the Netherlands, 2004.
    • (2004) Proceedings of the 15-th ProRISC Workshop, Veldhoven
    • Schrauwen, B.1    Van Campenhout, J.2
  • 15
    • 23844463151 scopus 로고    scopus 로고
    • A gradient descent rule for spiking neurons emitting multiple spikes
    • O. Booij, H. tat Nguyen, "A gradient descent rule for spiking neurons emitting multiple spikes," Information Processing Letters, Vol. 95(6), pp. 552 - 558, 2005.
    • (2005) Information Processing Letters , vol.95 , Issue.6 , pp. 552-558
    • Booij, O.1    Nguyen Tat, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.