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EEG

Electroencephalography epilepsy

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Showing 151–200 of 2431 papers

TitleStatusHype
EEGM2: An Efficient Mamba-2-Based Self-Supervised Framework for Long-Sequence EEG Modeling—0
Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces—0
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological DiagnosticsCode0
Electrophysiological Investigation of Insect Pain Threshold—0
Single-Channel EEG Tokenization Through Time-Frequency Modeling—0
Assessing a Single Student's Concentration on Learning Platforms: A Machine Learning-Enhanced EEG-Based Framework—0
Parameter Estimation of the Network of FitzHugh-Nagumo Neurons Based on the Speed-Gradient and Filtering—0
M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards—0
Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients—0
SleepGMUformer: A gated multimodal temporal neural network for sleep staging—0
Beyond Performance Scores: Directed Functional Connectivity as a Brain-Based Biomarker for Motor Skill Learning and Retention—0
Poststroke rehabilitative mechanisms in individualized fatigue level-controlled treadmill training -- a Rat Model Study—0
Dynamic directed functional connectivity as a neural biomarker for objective motor skill assessment—0
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
Brain-to-Text Decoding: A Non-invasive Approach via Typing—0
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning FrameworkCode1
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic DischargesCode0
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond—0
Hybrid Brain-Machine Interface: Integrating EEG and EMG for Reduced Physical Demand—0
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationCode1
Revisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces—0
CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP TasksCode0
EEG Artifact Detection and Correction with Deep Autoencoders—0
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks—0
Emotional EEG Classification using Upscaled Connectivity Matrices—0
Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding—0
Large Cognition Model: Towards Pretrained EEG Foundation Model—0
From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI SynthesisCode1
From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production—0
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEGCode1
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation—0
FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model—0
Retrieving Filter Spectra in CNN for Explainable Sleep Stage ClassificationCode1
Neurophysiological correlates to the human brain complexity through q-statistical analysis of electroencephalogram—0
Protecting Intellectual Property of EEG-based Neural Networks with WatermarkingCode0
Geometric Machine Learning on EEG Signals—0
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)—0
Transfer Learning for Covert Speech Classification Using EEG Hilbert Envelope and Temporal Fine Structure—0
Decoding Human Attentive States from Spatial-temporal EEG Patches Using TransformersCode1
From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping—0
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal StudyCode1
Human-Aligned Image Models Improve Visual Decoding from the Brain—0
IncepFormerNet: A multi-scale multi-head attention network for SSVEP classificationCode1
Human fields and their impact on brain waves A pilot study—0
Probabilistic adaptation of language comprehension for individual speakers: Evidence from neural oscillations—0
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease DetectionCode2
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals—0
Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion RecognitionCode1
SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks—0
Algorithmic Clustering based on String Compression to Extract P300 Structure in EEG Signals—0
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