Design of a Spiking Neural Network Based on Stochastic Neuron

  • Hye Yeon Jeon University of Seoul
  • Yoon Kim University of Seoul
  • Minsuk Koo University of Seoul
DOI: https://doi.org/10.23075/jicas.2025.11.3.005
Keywords: Spiking neural network, neuromorphic system, stochastic computing, binary SRAM, pattern classification

Abstract

In this study, we propose a 9×10 neuromorphic architecture that utilizes stochastic spiking neurons and SRAM as synapses. The stochastic spiking neuron features a capacitor-less structure, reducing hardware complexity and enabling low-power operation. Additionally, binary SRAM is employed as synapses to further enhance low-power characteristics. The proposed architecture was fabricated using the TSMC 28nm CMOS process. Simulation results confirm that the proposed design achieves a high energy efficiency of 60.55 TOPS/W. Through this approach, we aim to develop a low-power artificial neural network suitable for edge devices.

Author Biographies

Hye Yeon Jeon, University of Seoul

Hyeyeon Jeon received the B.S. degree in electrical and computer engineering from the University of Seoul, Seoul, South Korea, in 2023, where she is currently pursuing the M.S. degree in electrical and computer engineering.

Yoon Kim, University of Seoul

Yoon Kim (Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from Seoul National University, Seoul, South Korea, in 2006 and 2012, respectively. From 2012 to 2015, he was a Senior Engineer with Samsung Electronics Company Ltd., South Korea. He was an assistant professor at Pusan National University, Busan, South Korea, from 2015 to 2019. In 2018, he joined the University of Seoul and became an Associate Professor in 2020.

Minsuk Koo , University of Seoul

Minsuk Koo (Member, IEEE) received the B.S. degree in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2007, and the M.S. degree in electrical engineering from Seoul National University, Seoul, South Korea, in 2009. He received a Ph.D. degree in electrical and computer engineering from Purdue University, West Lafayette, IN, USA. From 2009 to 2012, he was a Senior Engineer with RadioPulse Inc., Seoul, South Korea. He was an assistant professor at Incheon National University, Incheon, South Korea, from 2020 to 2024 and has been an associate professor at the University of Seoul since 2024.

Published
2025-07-01
How to Cite
Jeon, H. Y., Kim, Y., & Koo , M. (2025). Design of a Spiking Neural Network Based on Stochastic Neuron. Journal of Integrated Circuits and Systems, 11(3). https://doi.org/10.23075/jicas.2025.11.3.005
Issue
Vol 11 No 3 (2025)
Section
Articles