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EEG

Electroencephalography epilepsy

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Showing 1–50 of 2431 papers

TitleStatusHype
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCICode4
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmarkCode4
CBraMod: A Criss-Cross Brain Foundation Model for EEG DecodingCode3
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery ClassificationCode3
Are EEG-to-Text Models Working?Code3
NeuSpeech: Decode Neural signal as SpeechCode3
EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG SignalsCode3
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer LearningCode3
DBConformer: Dual-Branch Convolutional Transformer for EEG DecodingCode2
Multi-scale convolutional transformer network for motor imagery brain-computer interfaceCode2
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease DetectionCode2
BSD: a Bayesian framework for parametric models of neural spectraCode2
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion RecognitionCode2
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)Code2
A Survey of Spatio-Temporal EEG data Analysis: from Models to ApplicationsCode2
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG ModelCode2
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion ModelsCode2
PHemoNet: A Multimodal Network for Physiological SignalsCode2
PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devicesCode2
https://arxiv.org/pdf/2409.07491Code2
PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devicesCode2
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning ApproachCode2
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG SignalsCode2
MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based LearningCode2
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion RecognitionCode2
Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion RecognitionCode2
Residual and bidirectional LSTM for epileptic seizure detectionCode2
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series ClassificationCode2
GREEN: a lightweight architecture using learnable wavelets and Riemannian geometry for biomarker explorationCode2
Dynamic GNNs for Precise Seizure Detection and Classification from EEG DataCode2
EEG-Deformer: A Dense Convolutional Transformer for Brain-computer InterfacesCode2
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEGCode2
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked InputsCode2
Neuro-GPT: Towards A Foundation Model for EEGCode2
DreamDiffusion: Generating High-Quality Images from Brain EEG SignalsCode2
Source-free Subject Adaptation for EEG-based Visual RecognitionCode2
Decoding speech perception from non-invasive brain recordingsCode2
Physics-inform attention temporal convolutional network for EEG-based motor imagery classificationCode2
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
Raspberry PI Shield - for measure EEG (PIEEG)Code2
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual RecognitionCode2
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEGCode2
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signalsCode2
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery SignalsCode2
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG applicationCode1
eegFloss: A Python package for refining sleep EEG recordings using machine learning modelsCode1
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG ClassificationCode1
On using AI for EEG-based BCI applications: problems, current challenges and future trendsCode1
TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG DecodingCode1
SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging modelsCode1
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