DocumentCode
303312
Title
A programmable Gaussian node
Author
Kuppuswamy, Ravishankar ; Theogarajan, Luiz ; Akers, L.A.
Author_Institution
Center for Solid State Electron. Res., Arizona State Univ., Tempe, AZ, USA
Volume
2
fYear
1996
fDate
3-6 Jun 1996
Firstpage
880
Abstract
An analog Gaussian basis circuit integrated with a nonvolatile storage memory cell is described. Hardware implementations of the Gaussian basis circuit with on-chip learning is needed for real time and portable applications. Each Gaussian basis cell is symbiotically inter-linked with its own long-term storage memory cell forming a highly localized architecture. Experimental results of both the Gaussian basis circuit and the memory element are presented. We show simulated results of an application of our cell in a MERAM system
Keywords
MOS analogue integrated circuits; analogue processing circuits; analogue storage; content-addressable storage; neural chips; MERAM system; analog Gaussian basis circuit; highly localized architecture; long-term storage memory cell; multivalued exponential recurrent associative memory; nonvolatile storage memory cell; on-chip learning; portable applications; programmable Gaussian node; real-time applications; Biological system modeling; Brain modeling; Circuit simulation; Hardware; Lakes; MOSFETs; Nonvolatile memory; Solid state circuits; Symbiosis; Threshold voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549013
Filename
549013
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