Analog Neural Networks

Non-linear Feedback (Analog Logic & Factorial Switches)

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.

Text

Download Facsimile [PDF, 5.2M]

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 13 November 2024. URL : http://popups.lib.uliege.be/1373-5411/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