VHDL-AMS modeling of self-organizing neural systems
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PublisherInstitute Electrical and Electronics Engineers (IEEE)
Bibliographic CitationLÓPEZ ALCANTUD, José Alejandro, KAZMIERSKI, Tom. VHDL-AMS modeling of self-organizing neural systems. En: tional Symposium on Circuits and Systems (2000: Ginebra). Proceedings of the IEEE 2000 International Symposium on Circuits and Systems. ISCAS 2000, Geneva: Emerging Technologies. Piscataway: Institute Electrical and Electronics Engineers, 2000. 734 - 737 vol.3. ISBN 0-7803-5482-6
KeywordsRed neuronal ART
Circuito de realimentación
Circuito de simulación
Circuito integrado de modelado
Mezcla analógica-digital de circuitos integrados
ART neural nets
Integrated circuit modelling
Mixed analogue-digital integrated circuits
This paper presents VHDL-AMS models and simulation results for a complex, self-organizing neural system based on the adaptive resonance theory. Such neural systems exhibit both discrete and continuous dynamic behavior and consist of a large number of analog equations, a digital controller with analog and digital feedback paths resulting in the complexity that would prohibit analysis with conventional mixed-signal simulation tools.
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