Title :
A neuromorphic impulsive circuit for processing dynamic signals
Author :
Elias, John G. ; Chu, Hsu-Hua ; Meshreki, Samer M.
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
Abstract :
The electronic implementation of a highly parallel neuromorphic circuit which processes and classifies dynamic signals is described. The authors discuss the silicon implementation of an artificial dendritic tree that has a spatiotemporal processing capability that is modeled after biological neurons which have extensive passive dendritic branching. Background material is presented on biological neuron behavior that is important in processing dynamic signals. The architecture and circuit details of artificial dendrites and artificial synapses are presented. The properties of both active and passive biological dendritic trees as well as the dynamic and static behavior of chemical synapses were studied. A simple and scalable electronic circuit implemented in standard CMOS technology is described
Keywords :
CMOS integrated circuits; analogue processing circuits; neural chips; signal processing; CMOS technology; artificial dendritic tree; artificial synapses; biological neuron behavior; chemical synapses; dynamic signal processing; highly parallel neuromorphic circuit; neuromorphic impulsive circuit; scalable electronic circuit; spatiotemporal processing capability; Biological materials; Biological system modeling; CMOS technology; Chemicals; Circuits; Neuromorphics; Neurons; Signal processing; Silicon; Spatiotemporal phenomena;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230552
