DocumentCode :
2708270
Title :
A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons
Author :
Kikombo, Andrew Kilinga ; Asai, Tetsuya ; Oya, Takahide ; Schmid, Alexandre ; Leblebici, Yusuf ; Amemiya, Yoshihito
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
fYear :
2009
fDate :
14-19 June 2009
Firstpage :
1600
Lastpage :
1605
Abstract :
We propose a bio-inspired circuit performing pulse-density modulation with single-electron devices. The proposed circuit consists of three single-electron neuronal units, receiving the same input and are connected to a common output. The output is inhibitorily fedback to the three neuronal circuits through a capacitive coupling, tuned to obtain a winners-share-all network operation. The circuit performance was evaluated through Monte-Carlo based computer simulations. We demonstrated that the proposed circuit possesses noise-shaping characteristics, where signal and noises are separated into low and high frequency bands respectively. This significantly improved the signal-to-noise ratio (SNR) by 4.34 dB in the coupled network, as compared to the uncoupled one. The noise-shaping properties are as a result of i) the inhibitory feedback between the output and the neuronal circuits, and ii) static noises (originating from device fabrication mismatches) and dynamic noises (as a result of thermally induced random tunneling events) introduced into the network.
Keywords :
Monte Carlo methods; neural nets; single electron devices; Monte-Carlo based computer simulations; bio-inspired circuit; capacitive coupling; device fabrication; neuronal circuits; noise shaping; pulse-density modulation circuit; single-electron devices; single-electron neuronal units; single-electron neurons; Circuit noise; Circuit optimization; Coupling circuits; Neurons; Noise shaping; Pulse circuits; Pulse modulation; Pulse shaping methods; Single electron devices; Tuned circuits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
ISSN :
1098-7576
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2009.5178715
Filename :
5178715
Link To Document :
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