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EEG

Electroencephalography epilepsy

Papers

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Showing 251–275 of 2431 papers

TitleStatusHype
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking ApplicationsCode1
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
Towards Voice Reconstruction from EEG during Imagined SpeechCode1
Foundational GPT Model for MEGCode1
Frequency-Based Alignment of EEG and Audio Signals Using Contrastive Learning and SincNet for Auditory Attention DetectionCode1
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time seriesCode1
Real-time noise cancellation with Deep LearningCode1
A Strong and Simple Deep Learning Baseline for BCI MI DecodingCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI SynthesisCode1
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion RecognitionCode1
How EEG preprocessing shapes decoding performanceCode1
Implicit Gaussian process representation of vector fields over arbitrary latent manifoldsCode1
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural NetworkCode1
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI dataCode1
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic SeizuresCode1
Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleepCode1
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level EstimationCode1
Automatic detection of microsleep episodes with deep learningCode1
A DenseNet-based method for decoding auditory spatial attention with EEGCode1
BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool SystemCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
Artificial Intelligence for EEG Prediction: Applied Chaos TheoryCode1
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIsCode1
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