Neural Circuitry Based on Single Electron Transistors and Single Electron Memories

Aïmen BOUBAKER, Adel KALBOUSSI
2014 Sensors & Transducers  
In this paper, we propose and explain a neural circuitry based on single electron transistors 'SET' which can be used in classification and recognition. We implement, after that, a Winner-Take-All 'WTA' neural network with lateral inhibition architecture. The original idea of this work is reflected, first, in the proposed new single electron memory 'SEM' design by hybridising two promising Single Electron Memory 'SEM' and the MTJ/Ring memory and second, in modeling and simulation results of
more » ... al memory based on SET. We prove the charge storage in quantum dot in two types of memories.
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