Imagen de Portada

Automatic EEG Independent Component Classification Using ICLabel in Python

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Delorme, Arnaud, Truong, Dung, Pion-Tonachini, Luca, Makeig, Scott
Formato:	Preprint
Publicado:	2024
Materias:	Signal Processing Machine Learning Neurons and Cognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Quantifying Data Requirements for EEG Independent Component Analysis Using AMICA
por: Frank, Gwenevere, et al.
Publicado: (2025)

CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction
por: Lai, Pin-Hua, et al.
Publicado: (2022)

Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
por: Goerttler, Stephan, et al.
Publicado: (2024)

Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
por: Bussalb, Aurore, et al.
Publicado: (2025)

Repetitive TMS-based Identification of Methamphetamine-Dependent Individuals Using EEG Spectra
por: Zeng, Ziyi, et al.
Publicado: (2025)

Adaptive Segmentation of EEG for Machine Learning Applications
por: Zhou, Johnson, et al.
Publicado: (2025)

Exploring Deep Learning Models for EEG Neural Decoding
por: Dixen, Laurits, et al.
Publicado: (2025)

Large Cognition Model: Towards Pretrained EEG Foundation Model
por: Chen, Chi-Sheng, et al.
Publicado: (2025)

Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals
por: Protani, Andrea, et al.
Publicado: (2024)

Analyzing Brain Activity During Learning Tasks with EEG and Machine Learning
por: Cho, Ryan, et al.
Publicado: (2024)

EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces
por: Ding, Yi, et al.
Publicado: (2024)

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
por: Mentzelopoulos, Georgios, et al.
Publicado: (2024)

Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience
por: Shen, Xinke, et al.
Publicado: (2024)

THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
por: Yang, Wenchao, et al.
Publicado: (2025)

IMU-Enhanced EEG Motion Artifact Removal with Fine-Tuned Large Brain Models
por: Zhang, Yuhong, et al.
Publicado: (2025)

SSDLabeler: Realistic semi-synthetic data generation for multi-label artifact classification in EEG
por: Akama, Taketo, et al.
Publicado: (2025)

Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients
por: Agaronyan, Artur, et al.
Publicado: (2025)

DeeperBrain: A Neuro-Grounded EEG Foundation Model Towards Universal BCI
por: Wang, Jiquan, et al.
Publicado: (2026)

Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models
por: Kucukosmanoglu, Murat, et al.
Publicado: (2024)

Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning
por: Wang, Shuqiang, et al.
Publicado: (2024)

Time-Resolved EEG Decoding of Semantic Processing Reveals Altered Neural Dynamics in Depression and Suicidality
por: Jeong, Woojae, et al.
Publicado: (2025)

Subject-Specific Analysis of Self-Initiated Attention Shifts from EEG with Controlled Internal and External Attention Conditions
por: Zeng, Yuwen, et al.
Publicado: (2026)

FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network
por: Go, Young-Min, et al.
Publicado: (2024)

A Graph Neural Network based on a Functional Topology Model: Unveiling the Dynamic Mechanisms of Non-Suicidal Self-Injury in Single-Channel EEG
por: Tong, BG
Publicado: (2025)

Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and Classification
por: Tang, Weitao, et al.
Publicado: (2025)

Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification
por: Gangapuram, Harshini, et al.
Publicado: (2024)

Comparative Analysis of Deep Learning Approaches for Harmful Brain Activity Detection Using EEG
por: Bhatti, Shivraj Singh, et al.
Publicado: (2024)

BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
por: Mayo, David, et al.
Publicado: (2024)

Predicting Cognitive Assessment Scores in Older Adults with Cognitive Impairment Using Wearable Sensors
por: Habadi, Assma, et al.
Publicado: (2025)

Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GAN
por: Mishra, Rahul, et al.
Publicado: (2024)

Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities
por: Blanco-Rios, Miguel A., et al.
Publicado: (2024)

Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG
por: Guo, Hanning, et al.
Publicado: (2026)

A novel Fourier Adjacency Transformer for advanced EEG emotion recognition
por: Wang, Jinfeng, et al.
Publicado: (2025)

PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devices
por: Rakhmatulin, Ildar
Publicado: (2024)

Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types
por: Rabiee, Ali, et al.
Publicado: (2024)

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
por: Wang, Jiquan, et al.
Publicado: (2024)

A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
por: Wang, Pengfei, et al.
Publicado: (2024)

EEG Foundation Models: A Critical Review of Current Progress and Future Directions
por: Kuruppu, Gayal, et al.
Publicado: (2025)

Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection
por: Hazra, Soujanya, et al.
Publicado: (2025)

BioSerenity-E1: a self-supervised EEG model for medical applications
por: Bettinardi, Ruggero G., et al.
Publicado: (2025)