Implementing a "psychophysical" pattern classifier in a decrementing network

  • José M. Salinas
  • Vernon G. Dobson
Biological Perspectives
Part of the Lecture Notes in Computer Science book series (LNCS, volume 540)


The biological systems work starting from the sensations produced by the stimulis received from the environment. The relationship between the physical magnitude of the stimulus and the sensation produced has beeen the scope of the Psychophysics. We describe a Pattern classifier, which uses the sensations produced by the patterns and the inputs to be classified. We develope the classifying algorithm which is based on a logarithmic distance, and we show how it can be implemented in a network of simple devices. Finally, we compare the performance of this classifier versus a Gaussian classifier in a specific task.


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6. References

  1. Fechner, G. T. (1860) Elements of Psychophysics Engl. transl. In G.A. Miller Mathematics and Psychology John Wiley 1964.Google Scholar
  2. Stevens, S.S. (1957) On the Psychophysical law Psychological Review, 64, 153–181.Google Scholar
  3. Stevens, S.S. (1958) Problems and Methods of Psychophysics Psychological Bulletin, 55, 177–196.Google Scholar
  4. Winters, J.H. and Rose, C. (1989) Minimum Distance Automata in Parallel Networks for Optimum Classification. Neural Networks, 2, 127–132.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • José M. Salinas
    • 1
  • Vernon G. Dobson
    • 2
  1. 1.Dp. Sociología y Psicol. Social Campus de CartujaGranadaSpain
  2. 2.Dp. Exper. PsychologyOxfordUK

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