Improved structures for neuron MOSFETs, which can execute a weighted summation of multiple input signals, are proposed and tested. Both an additional polysilicon shield and a substrate biasing show good control of the turning point of the neuron MOSFET inverters fabricated using a double poly-CMOS technology. The improved accuracy is demonstrated by fabricating A/D converter circuits utilising the neuron MOSFETs
International audienceAs Moore's law reaches its end, traditional computing technology based on the ...
The explosive growth of data and information has motivated technological developments in computing s...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
The neuron MOS transistor is a recently discovered device which is capable of executing a weighted s...
This work presents an analog neuromorphic synapse device consisting of two oxide semiconductor trans...
A new performance metric, Peak-Error Ratio (PER) has been presented to benchmark the performance of ...
We will present the implementation of intelligent electronic circuits realized for the first time us...
Neuromorphic systems inspired by the brain have gained much popularity in the computing world for it...
Digital-to-analog converts utilizing neuron MOS-transistors were designed. Different DACs were imple...
Recently, research on artificial neuron circuits imitating biological systems has been actively stud...
Abstract — This paper presents a novel analogue VLSI circuitry that reproduces spiking and bursting ...
The neuron-MOS (neu-MOS) transistor, recently discovered by Shibata and Ohmi in 1991 [T. Shibata, T....
Neuromorphic computing describes the use of electrical circuits to mimic biological architecture pre...
We have developed a capacitor-less I&F neuron circuit with a dual gate positive feedback fiel...
Neuro-inspired electronics are being designed to efficiently process complex information and accompl...
International audienceAs Moore's law reaches its end, traditional computing technology based on the ...
The explosive growth of data and information has motivated technological developments in computing s...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
The neuron MOS transistor is a recently discovered device which is capable of executing a weighted s...
This work presents an analog neuromorphic synapse device consisting of two oxide semiconductor trans...
A new performance metric, Peak-Error Ratio (PER) has been presented to benchmark the performance of ...
We will present the implementation of intelligent electronic circuits realized for the first time us...
Neuromorphic systems inspired by the brain have gained much popularity in the computing world for it...
Digital-to-analog converts utilizing neuron MOS-transistors were designed. Different DACs were imple...
Recently, research on artificial neuron circuits imitating biological systems has been actively stud...
Abstract — This paper presents a novel analogue VLSI circuitry that reproduces spiking and bursting ...
The neuron-MOS (neu-MOS) transistor, recently discovered by Shibata and Ohmi in 1991 [T. Shibata, T....
Neuromorphic computing describes the use of electrical circuits to mimic biological architecture pre...
We have developed a capacitor-less I&F neuron circuit with a dual gate positive feedback fiel...
Neuro-inspired electronics are being designed to efficiently process complex information and accompl...
International audienceAs Moore's law reaches its end, traditional computing technology based on the ...
The explosive growth of data and information has motivated technological developments in computing s...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...