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EEG

Electroencephalography epilepsy

Papers

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Showing 176–200 of 2431 papers

TitleStatusHype
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
Automatic detection of microsleep episodes with deep learningCode1
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge DistillationCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based ModelCode1
Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM ModelCode1
CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality DetectionCode1
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
Foundational GPT Model for MEGCode1
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEGCode1
A Transformer-based deep neural network model for SSVEP classificationCode1
Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleepCode1
Can Brain Signals Reveal Inner Alignment with Human Languages?Code1
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural NetworkCode1
Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEGCode1
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion RecognitionCode1
Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video UnderstandingCode1
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact RemovalCode1
Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial NetworksCode1
IncepFormerNet: A multi-scale multi-head attention network for SSVEP classificationCode1
A Deep Neural Network for SSVEP-based Brain-Computer InterfacesCode1
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activityCode1
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI dataCode1
Artificial Intelligence for EEG Prediction: Applied Chaos TheoryCode1
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