DocumentCode
2661997
Title
CMOS circuit implementations for neuron models
Author
Linares-Barranco, Bernabé ; Sánchez-Sinencio, Edgar ; Rodriguez-Vasquez, A.
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fYear
1990
fDate
1-3 May 1990
Firstpage
2421
Abstract
The mathematical neuron basic cells used as basic cells in popular neural network architectures and algorithms are discussed. The most popular neuron models (without training) used in neural network architectures and algorithms (NNA) are considered, focusing on hardware implementation of neuron models used in NAA, and in emulation of biological systems. Mathematical descriptions and block diagram representations are utilized in an independent approach. Nonoscillatory and oscillatory models are discussed
Keywords
CMOS integrated circuits; computer architecture; neural nets; CMOS circuit implementations; NAA; emulation; mathematical neuron basic cells; neural network architectures; neuron models; nonoscillatory models; oscillatory models; Artificial neural networks; Biological system modeling; CMOS technology; Circuits; Differential equations; Hardware; Network topology; Neural networks; Neurons; Semiconductor device modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/ISCAS.1990.112499
Filename
112499
Link To Document