Title :
Analog VLSI implementation of neural networks
Author_Institution :
Swiss Center for Electron. & Microtechnol., Neuchatel, Switzerland
Abstract :
The potentialities of CMOS analog VLSI for the implementation of neural systems are demonstrated. It is shown how the various modes of operation of the transistor can be exploited to build very efficient neurons on a very small area with very low power consumption. The connectivity problem can be alleviated by selecting appropriate architectures. Various methods for implementing analog synaptic memories are discussed, and examples of working chips are given
Keywords :
CMOS integrated circuits; VLSI; neural nets; analog CMOS ICs; analog VLSI implementation; analog synaptic memories; connectivity problem; efficient neurons; examples of working chips; low power consumption; modes of operation; neural networks; small area; Biology computing; CMOS technology; MOSFETs; Neural networks; Neurons; Parallel processing; Threshold voltage; Transconductance; Very large scale integration; Voltage control;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112524
