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Eeg Decoding
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EEG Decoding - extracting useful information directly from EEG data.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
EAD: An EEG Adapter for Automated Classification
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding
EEG-CLIP : Learning EEG representations from natural language descriptions
Electrophysiological Investigation of Insect Pain Threshold
MVCNet: Multi-View Contrastive Network for Motor Imagery Classification
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG
EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics
Integrating Language-Image Prior into EEG Decoding for Cross-Task Zero-Calibration RSVP-BCI
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model
Can EEG resting state data benefit data-driven approaches for motor-imagery decoding?
Independent Feature Enhanced Crossmodal Fusion for Match-Mismatch Classification of Speech Stimulus and EEG Response
Dual-TSST: A Dual-Branch Temporal-Spectral-Spatial Transformer Model for EEG Decoding
Passenger hazard perception based on EEG signals for highly automated driving vehicles
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings
Explain EEG-based End-to-end Deep Learning Models in the Frequency Domain
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals
Combining Euclidean Alignment and Data Augmentation for BCI decoding
NeuroAssist: Enhancing Cognitive-Computer Synergy with Adaptive AI and Advanced Neural Decoding for Efficient EEG Signal Classification
Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization
The Sandwich meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding
EEG decoding with conditional identification information
Geometric Neural Network based on Phase Space for BCI-EEG decoding
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial Networks
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.