Neural Circuitry Based on Single Electron Transistors and Single Electron Memories
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,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2014-05-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/may_2014/Special_issue/P_SI_484.pdf |