Cover Image

Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gangapuram, Harshini, Manian, Vidya
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Signal Processing Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph Convolutional Neural Networks to Model the Brain for Insomnia
by: Monteiro, Kevin, et al.
Published: (2025)

Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks
by: Ding, Jun-En, et al.
Published: (2024)

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

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

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

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

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

A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data
by: D'Souza, Niharika Shimona, et al.
Published: (2020)

A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia
by: Chen, Zijian, et al.
Published: (2024)

Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification
by: Yan, Huachao, et al.
Published: (2024)

Automatic EEG Independent Component Classification Using ICLabel in Python
by: Delorme, Arnaud, et al.
Published: (2024)

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

Sparse Bayesian Correntropy Learning for Robust Muscle Activity Reconstruction from Noisy Brain Recordings
by: Li, Yuanhao, et al.
Published: (2024)

Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity
by: Ziaei, Navid, et al.
Published: (2023)

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

Brain Age Group Classification Based on Resting State Functional Connectivity Metrics
by: Singh, Prerna, et al.
Published: (2025)

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

Seizure-NGCLNet: Representation Learning of SEEG Spatial Pathological Patterns for Epileptic Seizure Detection via Node-Graph Dual Contrastive Learning
by: Wang, Yiping, et al.
Published: (2025)

Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings
by: Wang, Yuanxi, et al.
Published: (2024)

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

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

Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review
by: Chan, Yi Hao, et al.
Published: (2024)

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

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

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

A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment
by: Ahmad, Alwani Liyana, et al.
Published: (2024)

Fast Multi-Group Gaussian Process Factor Models
by: Gokcen, Evren, et al.
Published: (2024)

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

Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a CNN Transformer
by: Norris, Jamie, et al.
Published: (2024)

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

Coupled generator decomposition for fusion of electro- and magnetoencephalography data
by: Olsen, Anders Stevnhoved, et al.
Published: (2024)

Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features
by: Kadem, Sameer, et al.
Published: (2024)

Separation of Neural Drives to Muscles from Transferred Polyfunctional Nerves using Implanted Micro-electrode Arrays
by: Ferrante, Laura, et al.
Published: (2024)

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models
by: Vos, Gideon, et al.
Published: (2024)

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

End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills
by: Subedi, Aseem, et al.
Published: (2025)

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

PySeizure: A single machine learning classifier framework to detect seizures in diverse datasets
by: Chybowski, Bartlomiej, et al.
Published: (2025)

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

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