Self-Supervised Contrastive Learning Using Temporal-Spectral Hierarchical Loss for Local Field Potentials
- Title
- Self-Supervised Contrastive Learning Using Temporal-Spectral Hierarchical Loss for Local Field Potentials
- Author(s)
- Sion Kim
- DGIST Authors
- Sion Kim ; Ji-Woong Choi ; Jae Youn Hwang
- Advisor
- 최지웅
- Co-Advisor(s)
- Jae Youn Hwang
- Issued Date
- 2024
- Awarded Date
- 2024-02-01
- Type
- Thesis
- Description
- Self-supervised learning;Contrastive learning;Local field potentials;Hierarchical Contrasting
- Table Of Contents
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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
- Degree
- Master
- Publisher
- DGIST
- Related Researcher
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Choi, Ji-Woong
- Research Interests Communication System; Signal Processing; Communication Circuit Design; 생체 신호 통신 및 신호 처리; 뇌-기계 인터페이스(BMI); 차세대 교차계층 통신 및 신호 처리; 5G 모바일 통신
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- Files in This Item:
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- Appears in Collections:
- Department of Electrical Engineering and Computer Science Theses Master
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