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EEG

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Low-dimensional representation of brain networks for seizure risk forecasting

MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks

Pretraining Large Brain Language Model for Active BCI: Silent Speech

Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities

Subject-independent Classification of Meditative State from the Resting State using EEG

A Neuro-Dynamic Mathematical Model of Dream Formation and Spontaneous Cognitive Activity

PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition

Unsupervised EEG-based decoding of absolute auditory attention with canonical correlation analysis

Seizure duration is associated with multiple timescales in interictal iEEG band power

The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection

A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives

A Statistical Approach for Synthetic EEG Data Generation

Time-Series Analysis on Edge-AI Hardware for Healthcare Monitoring

Sub-Scalp Brain-Computer Interface Device Design and Fabrication

SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification

Dynamic Difficulty Adjustment With Brain Waves as a Tool for Optimizing Engagement

Early Detection of Cognitive Impairment in Elderly using a Passive FPVS-EEG BCI and Machine Learning -- Extended Version

Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving

Time-varying EEG spectral power predicts evoked and spontaneous fMRI motor brain activity

SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting

CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion Recognition

An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals

Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms

Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement

mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup

Modeling the Dynamics of Attentional Gamma Oscillations During the Encoding Process of Noise-Mixed Speech Signals

Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals

Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation Patching

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification

Dual mechanism of Anti-Seizure Medications in controlling seizure activity

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding

EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines

Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates

Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal Transformer

SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG Recordings

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.