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Electroencephalogram (EEG)

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하위 태스크: 7
평가표: 3
보존된 평가 기록: 5

Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.

논문

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EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG

Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification

Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG

Study of Brain Connectivity by Multichannel EEG Quaternion Principal Component Analysis for Alzheimer Disease Classification

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems

A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech

Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry

The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study

SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference

Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net

Electroencephalogram (EEG)

논문

EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG

Channel-Imposed Fusion: A Simple yet Effective Method for Medical Time Series Classification

Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG

M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction

Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices

Category-aware EEG image generation based on wavelet transform and contrast semantic loss

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data

EAD: An EEG Adapter for Automated Classification

Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG

The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components

A Feasibility Study of Task-Based fMRI at 0.55 T

Capturing Aperiodic Temporal Dynamics of EEG Signals through Stochastic Fluctuation Modeling

Multi-Modal Spectral Parametrization Method (MMSPM) for analyzing EEG activity with distinct scaling regimes

Advancing Brainwave Modeling with a Codebook-Based Foundation Model

Study of Brain Connectivity by Multichannel EEG Quaternion Principal Component Analysis for Alzheimer Disease Classification

EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network

Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs

EEG-to-Text Translation: A Model for Deciphering Human Brain Activity

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems

A Direct Comparison of Simultaneously Recorded Scalp, Around-Ear, and In-Ear EEG for Neural Selective Auditory Attention Decoding to Speech

Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry

The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study

SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference

ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding

BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals

Bridging BCI and Communications: A MIMO Framework for EEG-to-ECoG Wireless Channel Modeling

Covariance Density Neural Networks

Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net

Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework

Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning

Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models

Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition

ALFEE: Adaptive Large Foundation Model for EEG Representation

A brain-inspired generative model for EEG-based cognitive state identification

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities