Advertisement

Relative time scales in the self-organization of pattern classification: From “one-shot” to statistical learning

  • Klaus Kopecz
  • Karim Mohraz
Part II: Cortical Maps and Receptive Fields
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)

Abstract

We propose a biologically plausible learning scheme which enables a system to classify patterns based on the presentation of one single example. During a learning mode, the system recognizes whether a category for a presented pattern has been instantiated before, or whether it must be classified as unknown. In this case a new category is created autonomously. The proposed “one-shot” learning rules are characterized by certain time scale relations between system parameter dynamics and input dynamics. We show that reversing these relations (leading to a statistical learning regime, the learning dynamics can be reduced to a Kohonen learning scheme. Our results show that both “one-shot” and statistical learning in biological systems might be governed by identical laws.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    S. Amari. Dynamics of pattern formation in lateral-inhibition type neural fields. Biol. Cybern., 27:77–87, 1977.Google Scholar
  2. 2.
    G.A. Carpenter and S. Grossberg. Art2: Stable self-organization of pattern recognition codes for analogue input, patterns. Appl. Opt., 26:4919–4930, 1987.Google Scholar
  3. 3.
    J Hertz, A Krogh, and RG Palmer. Introduction to the Theory of Neural Computation. Addison-Wesley, 1991.Google Scholar
  4. 4.
    R. Mükkulainen. Self-organizing process based on lateral inhibition and synaptic resource distribution. In T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, editors, Artificial Neural Networks, pages 415–420. Elsevier, North-Holland, 1991.Google Scholar
  5. 5.
    H Ritter and K Schulten. On the stationary state of kohonen's self-organizing sensory mapping. Biol. Cybern., 54:99–106, 1986.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Klaus Kopecz
    • 1
  • Karim Mohraz
    • 1
  1. 1.Dept. of NeurophysicsUniversity of MarburgMarburgGermany

Personalised recommendations