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EEG

Electroencephalography epilepsy

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Showing 451–500 of 2431 papers

TitleStatusHype
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG SignalsCode2
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface—0
Symbolic dynamics of joint brain states during dyadic coordinationCode0
Emotion-Agent: Unsupervised Deep Reinforcement Learning with Distribution-Prototype Reward for Continuous Emotional EEG Analysis—0
Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networks—0
AttDiCNN: Attentive Dilated Convolutional Neural Network for Automatic Sleep Staging using Visibility Graph and Force-directed Layout—0
EEG-Defender: Defending against Jailbreak through Early Exit Generation of Large Language Models—0
Deep Learning-based Classification of Dementia using Image Representation of Subcortical Signals—0
Parkinson's Disease Classification via EEG: All You Need is a Single Convolutional LayerCode1
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks—0
EEG Right & Left Voluntary Hand Movement-based Virtual Brain-Computer Interfacing Keyboard Using Hybrid Deep Learning Approach—0
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease AssessmentCode1
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition—0
Classification of High-dimensional Time Series in Spectral Domain using Explainable Features—0
SPEED: Scalable Preprocessing of EEG Data for Self-Supervised LearningCode1
Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain—0
A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting—0
LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language ModelsCode0
Visual Neural Decoding via Improved Visual-EEG Semantic Consistency—0
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective—0
A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities—0
A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input—0
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings—0
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures—0
Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography DataCode0
Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-ProcessingCode0
Single-channel electroencephalography decomposition by detector-atom network and its pre-trained modelCode0
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series AnalysisCode1
Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation—0
Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep—0
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations—0
Recording First-person Experiences to Build a New Type of Foundation Model—0
DeepSpeech models show Human-like Performance and Processing of Cochlear Implant Inputs—0
DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis—0
RRAM-Based Bio-Inspired Circuits for Mobile Epileptic Correlation Extraction and Seizure Prediction—0
QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding—0
Simulation of Neural Responses to Classical Music Using Organoid Intelligence MethodsCode0
Explain EEG-based End-to-end Deep Learning Models in the Frequency Domain—0
EEG-SSM: Leveraging State-Space Model for Dementia Detection—0
Wavelet-based Autoencoder and EfficientNet for Schizophrenia Detection from EEG Signals—0
How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?—0
The VEP Booster: A Closed-Loop AI System for Visual EEG Biomarker Auto-generation—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models—0
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions—0
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction—0
How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?—0
Riemannian Geometry-Based EEG Approaches: A Literature Review—0
NeuroBind: Towards Unified Multimodal Representations for Neural Signals—0
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity—0
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