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Self-Supervised Contrastive Learning Using Temporal-Spectral Hierarchical Loss for Local Field Potentials
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Title
Self-Supervised Contrastive Learning Using Temporal-Spectral Hierarchical Loss for Local Field Potentials
DGIST Authors
Sion KimJi-Woong ChoiJae Youn Hwang
Advisor
최지웅
Co-Advisor(s)
Jae Youn Hwang
Issued Date
2024
Awarded Date
2024-02-01
Citation
Sion Kim. (2024). Self-Supervised Contrastive Learning Using Temporal-Spectral Hierarchical Loss for Local Field Potentials. doi: 10.22677/THESIS.200000725263
Type
Thesis
Description
Self-supervised learning;Contrastive learning;Local field potentials;Hierarchical Contrasting
Table Of Contents
I. Introduction 1
II. Background 5
2.1 Local Field Potentials (LFP) 5
2.2 Self-Supervised Learning 6
2.2.1 Self-Supervised Contrastive Learning 7
2.3 Hierarchical Contrasting 8
III. Research Methods 9
3.1 Problem Definition 9
3.2 Framework Overview 9
3.3 Wavelet Transform 9
3.4 Feature Extraction Encoder 11
3.4.1 Linear Projection Layer 11
3.4.2 Augmentation 12
3.4.3 Stacked Convolutional Blocks 14
3.5 Temporal-Spectral Hierarchical Contrasting 14
IV. Result Analysis 18
4.1 Simulation Datasets 18
4.2 Experimental Concept 18
4.3 Evaluation Metric 19
4.4 Baselines for Comparison 20
4.5 Evaluation Summary 21
4.6 Ablation Study 23
V. Conclusion 25
References 26
URI
http://hdl.handle.net/20.500.11750/48099
http://dgist.dcollection.net/common/orgView/200000725263
DOI
10.22677/THESIS.200000725263
Degree
Master
Department
Department of Electrical Engineering and Computer Science
Publisher
DGIST
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