Title

PLL-Based Reconfigurable IF-to-LIF Neurons and Its Application in Liquid State Machine

Alternative Title

위상 고정 루프 기반 재구성 가능한 IF-to-LIF 뉴런 및 리퀴드 상태 머신 응용

DGIST Authors

Jiho Kim ; Junghyup Lee

Advisor

이정협

Issued Date

2026

Awarded Date

2026-08-01

Type

Thesis

Description

Spiking Neural Network （SNN）, Spiking Neuron, Phase Locked Loop （PLL）, Liquid State Machine （LSM）, Neuromorphic System

Table Of Contents

Abstract
List of Contents
List of Figures
List of Tables

I. Introduction
1.1 Research Motivation
1.2 Conventional Neurons
1.3 Backgrounds

II. Proposed VCO-based Neurons
2.1 VCO-based Neuron with Conductive Synapse
2.1.1 Overall Architecture ·
2.1.2 Differential Body-driven VCOs
2.1.3 Resistor-based Tunable Weighting Module for Synapse
2.1.4 Reset Logic for Thresholding and Clamping
2.2 VCO-based Neuron with Capacitive Synapse
2.2.1 Overall Architecture
2.2.2 Self-Biased Pseudo-Differential Body-Driven VCOs
2.2.3 Phase Frequency Detector and Comparator
2.2.4 Leak Driver
2.2.5 Spike Generator
2.2.6 Synapse Circuit
2.3 Liquid State Machine （LSM） for Spoken-digit Recognition

III. Experiment Results
3.1 VCO-based Neuron with Conductive Synapse
3.2 VCO-based Neuron with Capacitive Synapse
3.3 Liquid State Machine （LSM） for Spoken-digit Recognition

IV. Conclusion

V. Appendix

VI. References

URI

https://scholar.dgist.ac.kr/handle/20.500.11750/60808
http://dgist.dcollection.net/common/orgView/200001019283

DOI

10.22677/THESIS.200001019283

Degree

Master

Department

Department of Electrical Engineering and Computer Science

Publisher

DGIST

Show Full Item Record