A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons

  • Authors:
  • Andrew Kilinga Kikombo;Tetsuya Asai;Takahide Oya;Alexandre Schmid;Yusuf Leblebici;Yoshihito Amemiya

  • Affiliations:
  • Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan;Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan;Graduate School of Engineering, Yokohama National University, Japan;Microelectronic Systems Laboratory, Swiss Federal Institute of Technology, EPFL, Switzerland;Microelectronic Systems Laboratory, Swiss Federal Institute of Technology, EPFL, Switzerland;Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan

  • Venue:
  • IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
  • Year:
  • 2009

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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-shareall 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.