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Volumn 4668 LNCS, Issue PART 1, 2007, Pages 380-389

Building a bridge between spiking and artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; ERRORS; PATTERN RECOGNITION;

EID: 38149094416     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74690-4_39     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 1
    • 33646751873 scopus 로고    scopus 로고
    • Kasinski, A., Ponulak, F.: Comparison of supervised learning methods for spike time coding in spiking neural networks. Int. J. of Applied Mathematics and Computer Science, University of Z.Gora 16, 101-113(2006)
    • Kasinski, A., Ponulak, F.: Comparison of supervised learning methods for spike time coding in spiking neural networks. Int. J. of Applied Mathematics and Computer Science, University of Z.Gora 16, 101-113(2006)
  • 2
    • 0036826068 scopus 로고    scopus 로고
    • Error-backpropagation in temporally encoded networks of spiking neurons
    • Bohte, S.M., Poutre, H.L., Kok, J.N.: Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing 48, 17-37 (2002)
    • (2002) Neurocomputing , vol.48 , pp. 17-37
    • Bohte, S.M.1    Poutre, H.L.2    Kok, J.N.3
  • 4
    • 0031072069 scopus 로고    scopus 로고
    • Learning temporally encoded patterns in networks of spiking neurons
    • Ruf, B., Schmitt, M.: Learning temporally encoded patterns in networks of spiking neurons. Neural Processing Letters 5,9-18 (1997)
    • (1997) Neural Processing Letters , vol.5 , pp. 9-18
    • Ruf, B.1    Schmitt, M.2
  • 5
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323, 533-536 (1986)
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 8
    • 0038356691 scopus 로고    scopus 로고
    • Integrator or coincidence detector? the role of the cortical neuron revisited
    • König, P., Engel, A.K., Singer, W.: Integrator or coincidence detector? the role of the cortical neuron revisited. Trends in Neuroscience 19, 130-137 (1996)
    • (1996) Trends in Neuroscience , vol.19 , pp. 130-137
    • König, P.1    Engel, A.K.2    Singer, W.3
  • 9
    • 0004042460 scopus 로고
    • Proben 1 - a set of neural network benchmark problems and benchmarking rules
    • Technical report, Fakultät für Informatik, Universität Karlsruhe
    • Prechelt, L.: Proben 1 - a set of neural network benchmark problems and benchmarking rules. Technical report, Fakultät für Informatik, Universität Karlsruhe (1994)
    • (1994)
    • Prechelt, L.1
  • 10
    • 0003947898 scopus 로고
    • Rprop - a fast adaptive learning algorithm
    • Technical report, Fakultät für Informatik, Universität Karlsruhe
    • Riedmiller, M., Braun, H.: Rprop - a fast adaptive learning algorithm. Technical report, Fakultät für Informatik, Universität Karlsruhe (1992)
    • (1992)
    • Riedmiller, M.1    Braun, H.2
  • 12
    • 38149009248 scopus 로고    scopus 로고
    • Wan, E. A.: Finite impulse response neural networks for autoregressive time series prediction. In: Weigend, A., Gershenfeld, N. (eds.) Proceedings of the NATO Advanced Workshop on Time Series Prediction and Analysis, Santa Fe, NM, May 14-17, 1993, Addison-Wesley, Reading (1993)
    • Wan, E. A.: Finite impulse response neural networks for autoregressive time series prediction. In: Weigend, A., Gershenfeld, N. (eds.) Proceedings of the NATO Advanced Workshop on Time Series Prediction and Analysis, Santa Fe, NM, May 14-17, 1993, Addison-Wesley, Reading (1993)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.