Adaptive associative systems for VLSI

  • U. Rückert
  • K. Goser
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 253)


A physical network of an adaptive associative memory is presented. The concept of the network is derived from the Analog Associative Memory due to T. Kohonen and from the Associative Matrix due to G. Palm. The system concept of such a memory is adapted to the VLSI-technique by being partioned into uniform memory slices and by introducing a nonvolatile memory cell. Especially the task of transferring the system concept into technology in order to realize a microelectronic component with new interesting features will be pointed out. The performance of an adaptive associative memory is discussed by means of computer simulations.


Telephone Number System Concept Storage Element Artificial Neuron Adaptive Memory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. /1/.
    W.S. McCulloch, W. Pitts "A Logical Calculus of the Ideas Immanent in Nervous Activity" Bull. Math. Biophys. 5, 1943, pp. 115–133Google Scholar
  2. /2/.
    F. Rosenblatt "Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms" Spartan Books, Washington, D.C., 1961Google Scholar
  3. /3/.
    K. Steinbuch "Die Lernmatrix" Kybernetik, Band 1, Heft 1, Jan. 1961, pp. 36–45Google Scholar
  4. /4/.
    T. Kohonen "Associative Memory" Springer, Berlin, Heidelberg, New York. 1978Google Scholar
  5. /5/.
    G. Palm "Neural Assemblies" Springer, Berlin, Heidelberg, New York, 1982Google Scholar
  6. /6/.
    K. Goser, C. Fölster "The impact of VLSI to the development strategy of microsystems" Digest of Int. Microelectronics Symposium, 1982, pp. 426–431Google Scholar
  7. /7/.
    P. Kümmel "Formalization of Natural Languages" Springer, Berlin, Heidelberg, New York, 1974Google Scholar
  8. /8/.
    N.V. Findler "Associative Networks" Academic Press, London, 1979Google Scholar
  9. /9/.
    K. Goser, C. Fölster, U. Rückert "Intelligent Memories in VLSI" Information Science 34, 1984, pp. 61–82Google Scholar
  10. /10/.
    G. Palm "On Associative Memory" Biological Cybernetics, 36, 1980, pp. 19–31PubMedGoogle Scholar
  11. /11/.
    T. Poggio "On optimal Nonlinear Associative Recall" Biological Cybernetics, 19, 1975, pp. 201–209PubMedGoogle Scholar
  12. /12/.
    M.R.B. Forshaw "Pattern Storage in Quasi-Neural Networks" this volumeGoogle Scholar
  13. /13/.
    G. Palm "On the Storage Capacity of an Associative Memory with Randomly Distributed Storage Elements" Biological Cybernetics, 39, 1981, pp. 125–127Google Scholar
  14. /14/.
    G. Palm, T. Bonhoeffer "Parallel Processing for Associative and Neuronal Networks" Biological Cybernetics, 51, 1984, pp. 201–204PubMedGoogle Scholar
  15. /15/.
    A. Gupta "5-V-only EE-PROM-Springboard for autoprogrammable systems" Electronics, 10, Feb. 1982, pp. 121–125Google Scholar
  16. /16/.
    E. Suzuki "A Low-Voltage Alterable EEPROM with Metal-Oxide-Nitride-Oxide Semiconductor (MONOS) Structures" IEEE Trans. Electron Devices, 1983, pp. 122–128Google Scholar
  17. /17/.
    D.A. Freitas, K.W. Current "A simple high-gain CMOS voltage comparator circuit" Int. J. Electronics, 1984, Vol.57, No.2, pp.195–198Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • U. Rückert
    • 1
  • K. Goser
    • 1
  1. 1.Bauelemente der ElektrotechnikUniversität DortmundDortmund 50

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