• DocumentCode
    423573
  • Title

    Extending SpikeProp

  • Author

    Schrauwen, Benjamin ; Van Campenhout, Jan

  • Author_Institution
    Dept. of Electron. & Inf. Syst., Ghent Univ., Belgium
  • Volume
    1
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Lastpage
    475
  • Abstract
    This paper introduces enhancements to the SpikeProp algorithm (S. M. Bohte, et al., 2002), an error-backpropagation learning rule suited for spiking neurons using exact spike time coding. These enhancements provide additional learning rules for the synaptic delays, time constants and for the neurons´ thresholds. This results in less constrained network topologies (the XOR problem for example needs up to 10 times less weights and learning convergence is up to two times faster).
  • Keywords
    backpropagation; neural nets; SpikeProp algorithm; error-backpropagation learning rule; spike time coding; spiking neurons; Biomembranes; Computer architecture; Computer networks; Convergence; Delay effects; Information systems; Network topology; Neural network hardware; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1379954
  • Filename
    1379954
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=423573