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EEG

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xc-zhonghit/eeg-dg

공식 코드

EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification

https://github.com/xiangzhang1015/adversarial_seizure_detection

공식 코드

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

https://github.com/xiaobin-xs/EEG-competing-risks

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Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks

https://github.com/xiaozhangyes/cognitioncapturer

공식 코드

CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal Information

https://github.com/xinliangzhou/survey

공식 코드

Interpretable and Robust AI in EEG Systems: A Survey

https://github.com/xjtu-eeg/libeer

공식 코드

LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition

https://github.com/xmh1011/at-dgnn

공식 코드

MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning

https://github.com/xqchen914/abat

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Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs

https://github.com/xuejiang16/ssl-torch

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Self-supervised Contrastive Learning for EEG-based Sleep Staging

https://github.com/xuxiran/asad_densenet

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A DenseNet-based method for decoding auditory spatial attention with EEG

https://github.com/xuyankun/stvig-for-reads-v

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VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG

https://github.com/xuyankun/vsvig

공식 코드

VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG

https://github.com/yaricom/brainhash

공식 코드

Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identification

https://github.com/ycq091044/biot

공식 코드

BIOT: Cross-data Biosignal Learning in the Wild

https://github.com/ycq091044/contrawr

공식 코드

Self-supervised EEG Representation Learning for Automatic Sleep Staging

https://github.com/yeganehfrh/yare-gan

공식 코드

YARE-GAN: Yet Another Resting State EEG-GAN

https://github.com/yeon-lab/dream

공식 코드

Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging

https://github.com/yeziyi1998/dl4eeg-classification

공식 코드

Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System

https://github.com/yeziyi1998/uercm

공식 코드

Towards a Better Understanding Human Reading Comprehension with Brain Signals

https://github.com/yi-ding-cs/LGG

공식 코드

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface

https://github.com/yi-ding-cs/TSception

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TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition

https://github.com/yi-ding-cs/eeg-deformer

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EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces

https://github.com/yi-ding-cs/eeg-patchformer

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Decoding Human Attentive States from Spatial-temporal EEG Patches Using Transformers

https://github.com/yi-ding-cs/emt

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EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition

https://github.com/yi-ding-cs/masa-tcn

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MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition

https://github.com/yorgoon/diffe

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Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG

https://github.com/yoshitatsumatsuda/orderingICA

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Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation

https://github.com/youngeun1209/neurotalk

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Towards Voice Reconstruction from EEG during Imagined Speech

https://github.com/younghoonNa/MC2SleepNet

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MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification

https://github.com/yudongpan/tegan

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Short-length SSVEP data extension by a novel generative adversarial networks based framework

https://github.com/ywa136/syglasso

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The Sylvester Graphical Lasso (SyGlasso)

https://github.com/zes0v0inn/dwt_eeg_reconstruction

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Category-aware EEG image generation based on wavelet transform and contrast semantic loss

https://github.com/zhongpeixiang/RGNN

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EEG-Based Emotion Recognition Using Regularized Graph Neural Networks

https://github.com/zhuyixuan1997/eegscopeandarbitration

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Scope and Arbitration in Machine Learning Clinical EEG Classification

https://github.com/zitonglu1996/eeg2eeg

공식 코드

Generate your neural signals from mine: individual-to-individual EEG converters

https://github.com/ziyuey/cssstn

공식 코드

CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks

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