Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A Compact Integrate-and-Fire Neuron Circuit Embedding Operational Transconductance Amplifier for Fidelity Enhancementopen access

Authors
Shah, Arati KumariCho, Eou-SikPark, JisunShin, HyungsoonCho, Seongjae
Issue Date
May-2023
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Integrate-and-fire neuron circuit; operational transconductance amplifier (OTA); fidelity; circuit simulation; stability; hardware-oriented spiking neural network (SNN)
Citation
IEEE ACCESS, v.11, pp.53932 - 53938
Journal Title
IEEE ACCESS
Volume
11
Start Page
53932
End Page
53938
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88604
DOI
10.1109/ACCESS.2023.3281502
ISSN
2169-3536
Abstract
In this study, a compact CMOS integrate-and-fire (I&F) neuron circuit embedding an operational transconductance amplifier (OTA) has been designed for enhancing the fidelity in output generation. The OTA block in the neuron circuit allows for maintaining stability in I&F functions even under high-frequency operation conditions. The designed neuron circuit consists of OTA circuit, membrane capacitor, inverter, and reset MOSFET, from which the area occupancy is approximated to be 22 x 43 mu m(2). Featuring the simple and compact structure, the proposed neuron circuit shows the capability to control the firing frequency by adjusting the amplitude and temporal width of the synaptic pulse, resulting in high fidelity in I&F function. Series of circuit simulations have been performed to validate the systematic operations of the neuron circuit by HSPICE presuming the 0.35-mu m Si CMOS technology. Moreover, temperature dependence was also investigated so that the robustness and stability of the neuron circuit at elevated operation temperatures were verified. The results provide a practical way of designing a compact and reliable neuron circuit working with the synaptic devices having deviations in operation characteristics in the hardware-oriented spiking neural network (SNN).
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 전자공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Cho, Eou Sik photo

Cho, Eou Sik
반도체대학 (반도체·전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE