Skip to main content
SpringerLink
Log in

A high order neural model

  • Conference paper
  • First Online:
New Trends in Neural Computation (IWANN 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 686))

Included in the following conference series:

Abstract

The interaction between afferent nerves had always been regarded as a phenomenon which is produced outside the neuron. This work presents an extension of the classic concept of interaction between inputs, including the possibility of higher-order effects at the level of neuronal activity function. The mathematics is formulated with a view to its algorithmic simulation being implemented in a multiprocessor system by means of an adequate programming language running as a multi-elemental processor parallel computer. The system that is finally presented is a higher-ordered neural network with nonsupervised learning implemented in a multilayer structure.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Baldi, P.: Neural networks, orientations of the hypercube, and algebraic threshold functions. IEEE Transactions on Information Theory, Vol. 34 No. 3, pp. 523–530. 1988.

    Google Scholar 

  • Grossberg, D.: Nonlinear neural networks: Principles, mechanisms, and architectures. Neural Networks, Vol. 1. pp. 17–61. 1988.

    Google Scholar 

  • Simpson, P.: Higher-ordered and intraconnected bidirectional associative memories. IEEE trans. on Systems, Man, Cybernetics. Vol. 20, No. 3, pp. 637–653, 1990.

    Google Scholar 

  • Xu, X. and Tsai, T.: Constructing associative memories using neural networks. Neural Networks. Vol. 3, pp. 301–309. 1990.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departamento de Electrónica e Ing-Electromecánica, Universidad de Extremadura, Avda. de Elvas s/n., 06071, Badajoz, Spain

    Francisco J. Lopez Aligué, Ma Isabel Acevedo Sotoca & Miguel A. Jaramillo Moran

Authors
  1. Francisco J. Lopez Aligué
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ma Isabel Acevedo Sotoca
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Miguel A. Jaramillo Moran
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

José Mira Joan Cabestany Alberto Prieto

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lopez Aligué, F.J., Acevedo Sotoca, M.I., Jaramillo Moran, M.A. (1993). A high order neural model. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_132

Download citation

  • DOI: https://doi.org/10.1007/3-540-56798-4_132

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56798-1

  • Online ISBN: 978-3-540-47741-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation