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Analog Neural Networks

Non-linear Feedback (Analog Logic & Factorial Switches)

Dobilas Kirvelis

p. 263-278

    Abstract

    Neuronal schemes realizing operations with continuous quantities are presented. These schemes are based on an analog neuron as a "diode-like" summator of continuous quantities (spike frequencies). Analog (continuous) logic, non-linear feedback, and neuronal structures, which can realize the complex features of information filtration, are discussed. Special attention is paid to factorial switches and synthesis of neuronal structures. Neuronal structures processing n-dimensional continuous vectors by non-linear feedbacks can realize the factorial switch, which stores and reproduces information about decreasing order of the components of the vectors.

    Index

    Keywords

    analog neuron, analog logic, non-linear feedback, factorial switch

    Text

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    References

    Bibliographical reference

    Dobilas Kirvelis, « Analog Neural Networks », CASYS, 7 | 2000, 263-278.

    Electronic reference

    Dobilas Kirvelis, « Analog Neural Networks », CASYS [Online], 7 | 2000, Online since 26 September 2024, connection on 27 December 2024. URL : http://popups.uliege.be/3041-539x/index.php?id=3683

    Author

    Dobilas Kirvelis

    Department of Biochemistry and Biophysics, Vilnius University, M.K.Čiurlionio 21/27, GMF, LT-2009 Vilnius, Lithuania

    By this author

    Copyright

    CC BY-SA 4.0 Deed