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.
Index
Text
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