Title :
VHDL-AMS modeling of self-organizing neural systems
Author :
Lopez-Alcantud, Jose-Alejandro ; Kazmierski, Tom
Author_Institution :
Univ. Politecnica de Cartegena, Spain
Abstract :
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
Keywords :
ART neural nets; circuit CAD; circuit feedback; circuit simulation; integrated circuit modelling; mixed analogue-digital integrated circuits; neural chips; ART2 neural network; CAD tools; VHDL-AMS modeling; adaptive resonance theory; analog equations; analog feedback paths; continuous dynamic behavior; digital controller; digital feedback paths; discrete dynamic behavior; mixed signal ASIC; mixed-signal simulation; self-organizing neural systems; Circuit simulation; Design automation; Digital circuits; Digital control; Equations; Network synthesis; Neural networks; Neurofeedback; Resonance; Very large scale integration;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856165
