Subthreshold CMOS Array for Generating a Gaussian Distribution of Currents

This brief presents a subthreshold CMOS array whose spatial distribution of output currents approximates a Gaussian, and the distribution has an independently controllable mean and standard deviation. This Gaussian distribution naturally results from the transistor physics of subthreshold CMOS equat...

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Veröffentlicht in:IEEE transactions on circuits and systems. 2, Analog and digital signal processing Analog and digital signal processing, 2006-10, Vol.53 (10), p.1123-1127
Hauptverfasser: Reid, M.S., Brown, E.A., DeWeerth, S.P.
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creator Reid, M.S.
Brown, E.A.
DeWeerth, S.P.
description This brief presents a subthreshold CMOS array whose spatial distribution of output currents approximates a Gaussian, and the distribution has an independently controllable mean and standard deviation. This Gaussian distribution naturally results from the transistor physics of subthreshold CMOS equations and the symmetry imposed in the network. The usefulness of the circuit array is demonstrated in a system-level example by using the currents to drive integrate-and-fire silicon neurons in which the neuronal input current and the resulting interspike interval are inversely related. The circuit and silicon neuron arrays were fabricated on the same integrated-circuit chip using the MOSIS AMI 0.5-mum process, and testing yielded experimental results that matched well with theoretical analysis
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ispartof IEEE transactions on circuits and systems. 2, Analog and digital signal processing, 2006-10, Vol.53 (10), p.1123-1127
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1558-3791
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subjects Arrays
Circuit testing
Circuits
Circuits and systems
CMOS
CMOS digital integrated circuits
Equations
Gaussian distribution
hyperbolic sine
integrated circuit
Mathematical analysis
Networks
Neurons
Normal distribution
Physics
Silicon
subthreshold analog VLSI
Very large scale integration
Voltage control
title Subthreshold CMOS Array for Generating a Gaussian Distribution of Currents
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