Implementation and Characterization of an Integrate-and-Fire Neuron Circuit Using a Silicon Nanowire Feedback Field-Effect Transistor

Sola Woo, Jinsun Cho, Doohyeok Lim, Young Soo Park, Kyoungah Cho, Sangsig Kim

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

In this article, we propose an integrate-and-fire (IF) neuron circuit using a single-gated silicon nanowire feedback field-effect transistor that utilizes a positive feedback loop. The IF operations are investigated through mixed-mode technology computer-aided design simulations. The neuron circuit composed of four component transistors (plus one capacitor) exhibits a high firing frequency of 20 kHz and low power and energy consumption of 7μW and 2.9× 10-15 J. The firing frequency and spiking voltage can be controlled through external biasing voltages. Our novel neuron circuit demonstrates a promising potential for use in spiking neural network hardware for very large-scale integration.

Original languageEnglish
Article number9108609
Pages (from-to)2995-3000
Number of pages6
JournalIEEE Transactions on Electron Devices
Volume67
Issue number7
DOIs
Publication statusPublished - 2020 Jul

Bibliographical note

Funding Information:
Manuscript received February 9, 2020; revised March 8, 2020 and April 26, 2020; accepted May 13, 2020. Date of publication June 4, 2020; date of current version June 19, 2020. This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIP) under Grant NRF-2016R1E1A1A02920171, in part by the Ministry of Trade, Industry & Energy (MOTIE, South Korea), in part by the Korea Semiconductor Research Consortium (KSRC) support program for development of the future semiconductor device, and in part by the Brain Korea 21 Plus Project in 2020. The review of this article was arranged by Editor T. Kim. (Corresponding author: Sangsig Kim.) Sola Woo, Doohyeok Lim, Young-Soo Park, and Kyoungah Cho are with the Department of Electrical Engineering, Korea University, Seoul 02841, South Korea.

Publisher Copyright:
© 1963-2012 IEEE.

Keywords

  • Feedback field-effect transistors (FBFETs)
  • TCAD simulation
  • integrate-and-fire (IF) neuron
  • positive feedback loop
  • spiking neural networks (SNNs)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Implementation and Characterization of an Integrate-and-Fire Neuron Circuit Using a Silicon Nanowire Feedback Field-Effect Transistor'. Together they form a unique fingerprint.

Cite this