منابع مشابه
Neuron-MOS Current Mirror Circuit and Its Application to Multi-Valued Logic
A neuron-MOS transistor (νMOS) is applied to current-mode multi-valued logic (MVL) circuits. First, a novel low-voltage and low-power νMOS current mirror is presented. Then, a threshold detector and a quaternary T-gate using the proposed νMOS current mirrors are proposed. The minimum output voltage of the νMOS current mirror is decreased by VT (threshold voltage), compared with the conventional...
متن کاملA subthreshold MOS neuron circuit based on the Volterra system
We present an analog neuron circuit consisting of a small number of metal-oxide semiconductor (MOS) devices operating in their subthreshold region. The dynamics of the circuit were designed to be equivalent to the well-known Volterra system to facilitate developing the circuit for a particular application. We show that a simple nonlinear transformation of system variables in the Volterra system...
متن کاملDelay Analysis of neuron-MOS and Capacitive Threshold- Logic
A model for the delay of neuron-MOS (neuMOS) and Capacitive Threshold-Logic (CTL) based logic circuits is presented for the first time. It is based on the analysis of the basic neuron-MOS [l] and CTL gate structures [a]. A closed form analytic expression for the delay of the threshold gate is derived. A relation for the delay in terms of an ordinary CMOS inverter delay expressed as a function o...
متن کاملDesign of Advanced Multiple-Valued D-FF Using Neuron-MOS
The proposed two types of multi-valued D flip-flops are NMAX-TG D flip-flop and NMIN-TG D flip-flop A NMAX-TG D flip-flop and a NMIN D flip-flop are composed of the components such as NMAX D flip-flops, NMIN D flip-flops and T-gate circuits. In the simulations, sampling frequencies of NMAX-TG D flip-flop and NMIN-TG D flip-flop are measured around 500 kHz and 1 MHz, respectively. The PDP parame...
متن کاملAn Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits
We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation with noisy neural elements. Our aim is to develop a possible ultralow-power delta-sigma-type one-bit analog-to-digital converter. Through circuit simulations we confirmed that the signal-to-noise ratio of the network was improved by 7.9 dB compared with that...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 2006
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss.126.196