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From Hopfield Nets to Pulsed Neural Networks

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Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4234))

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Abstract

Considering the first two generations of Artificial Neural Networks, Hopfield model is the only active system. Studying this type of network, a relation between this artificial neural network and the third generation, characterized by spiking neurons, was noticed. This paper presents the relationship between the Hopfield Neural Networks and the Pulsed Neural Networks. This relation is shown by the integration of the Hopfield neuron model, ending in an integrate-and-fire model, with the appropriate choice of the input kernels.

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Author information

Authors and Affiliations

  1. Rio Grande do Norte Federal University, Natal RN, Brazil

    Ana M. G. Guerreiro

  2. University of Colorado, Colorado Springs, CO, USA

    Carlos A. Paz de Araujo

Authors
  1. Ana M. G. Guerreiro
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  2. Carlos A. Paz de Araujo
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, New Territories,, China

    Jun Wang

  3. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Lai-Wan Chan

  4. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, OH 43210, Columbus

    DeLiang Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Guerreiro, A.M.G., de Araujo, C.A.P. (2006). From Hopfield Nets to Pulsed Neural Networks. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_128

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  • DOI: https://doi.org/10.1007/11893295_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46484-6

  • Online ISBN: 978-3-540-46485-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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