An Energy Efficient Stochastic+Spiking Neural Network

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  • OpenAlex ID W3136463641
  • Type Article
  • Language EN
  • Published 08 Jan 2021
  • Volume 10 (1)
  • Pages 30–35
  • Source Bulletin of Networking, Computing, Syste…
  • FWCI 0.14
  • Countries 1
  • Institutions 1
  • Added 10 Oct 2025
  • Updated 08 Oct 2026
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An Energy Efficient Stochastic+Spiking Neural Network

Article 2021 EN Diamond

A feasibility study of stochastic+spiking neural net- work is presented for reducing the hardware implementation cost. By using a set of time-based stochastic computing (TBSC) circuits, the stochastic numbers (SNs) in continuous time-domain are directly fed into the input layer of the spiking neural networks (SNNs) without any additional spike-coding mechanism. The analog circuits behaving as syna…

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3 authors
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1 Takeshi Nomura Nara Institute of Science and … (JP)
2 Renyuan Zhang Nara Institute of Science and … (JP)
3 Yasuhiko Nakashima Nara Institute of Science and … (JP)
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