Image de couverture de livre

Adaptive Segmentation of EEG for Machine Learning Applications

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Johnson, West, Joseph, Ehinger, Krista A., Ren, Zhenming, John, Sam E., Grayden, David B.
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Signal Processing Neurons and Cognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Sub-Scalp EEG for Sensorimotor Brain-Computer Interface
par: Mahoney, Timothy B, et autres
Publié: (2025)

Decoding Saccadic Eye Movements from Brain Signals Using an Endovascular Neural Interface
par: Rasheed, Suleman, et autres
Publié: (2025)

Analyzing Brain Activity During Learning Tasks with EEG and Machine Learning
par: Cho, Ryan, et autres
Publié: (2024)

Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning
par: Wang, Shuqiang, et autres
Publié: (2024)

Exploring Deep Learning Models for EEG Neural Decoding
par: Dixen, Laurits, et autres
Publié: (2025)

Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients
par: Agaronyan, Artur, et autres
Publié: (2025)

Brian Intensify: An Adaptive Machine Learning Framework for Auditory EEG Stimulation and Cognitive Enhancement in FXS
par: ElSayed, Zag, et autres
Publié: (2025)

Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience
par: Shen, Xinke, et autres
Publié: (2024)

EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces
par: Ding, Yi, et autres
Publié: (2024)

DeeperBrain: A Neuro-Grounded EEG Foundation Model Towards Universal BCI
par: Wang, Jiquan, et autres
Publié: (2026)

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

EEG Foundation Models for BCI Learn Diverse Features of Electrophysiology
par: Ogg, Mattson, et autres
Publié: (2025)

Adaptive whitening in neural populations with gain-modulating interneurons
par: Duong, Lyndon R., et autres
Publié: (2023)

NeuroAssist: Enhancing Cognitive-Computer Synergy with Adaptive AI and Advanced Neural Decoding for Efficient EEG Signal Classification
par: Dandamudi, Eeshan G.
Publié: (2024)

Automatic EEG Independent Component Classification Using ICLabel in Python
par: Delorme, Arnaud, et autres
Publié: (2024)

Large Cognition Model: Towards Pretrained EEG Foundation Model
par: Chen, Chi-Sheng, et autres
Publié: (2025)

Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals
par: Protani, Andrea, et autres
Publié: (2024)

Time-Resolved EEG Decoding of Semantic Processing Reveals Altered Neural Dynamics in Depression and Suicidality
par: Jeong, Woojae, et autres
Publié: (2025)

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
par: Mentzelopoulos, Georgios, et autres
Publié: (2024)

Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
par: Goerttler, Stephan, et autres
Publié: (2024)

Repetitive TMS-based Identification of Methamphetamine-Dependent Individuals Using EEG Spectra
par: Zeng, Ziyi, et autres
Publié: (2025)

CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction
par: Lai, Pin-Hua, et autres
Publié: (2022)

THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
par: Yang, Wenchao, et autres
Publié: (2025)

IMU-Enhanced EEG Motion Artifact Removal with Fine-Tuned Large Brain Models
par: Zhang, Yuhong, et autres
Publié: (2025)

SSDLabeler: Realistic semi-synthetic data generation for multi-label artifact classification in EEG
par: Akama, Taketo, et autres
Publié: (2025)

Bibliometric-enhanced Systematic Literature Review of EEG in Education: Learning Concepts, Computational Methods, and Research Opportunities
par: Wijaya, Adi, et autres
Publié: (2025)

Subject-Specific Analysis of Self-Initiated Attention Shifts from EEG with Controlled Internal and External Attention Conditions
par: Zeng, Yuwen, et autres
Publié: (2026)

Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
par: Bussalb, Aurore, et autres
Publié: (2025)

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models
par: Vos, Gideon, et autres
Publié: (2024)

Earable Platform with Integrated Simultaneous EEG Sensing and Auditory Stimulation
par: Lee, Min Suk, et autres
Publié: (2026)

EEG-based Decoding of Selective Visual Attention in Superimposed Videos
par: Yao, Yuanyuan, et autres
Publié: (2024)

A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment
par: Ahmad, Alwani Liyana, et autres
Publié: (2024)

FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network
par: Go, Young-Min, et autres
Publié: (2024)

Quantifying Data Requirements for EEG Independent Component Analysis Using AMICA
par: Frank, Gwenevere, et autres
Publié: (2025)

Low-Rank + Sparse Decomposition (LR+SD) for EEG Artifact Removal
par: Gilles, Jerome, et autres
Publié: (2024)

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

CLASH: Contrastive learning through alignment shifting to extract stimulus information from EEG
par: Accou, Bernd, et autres
Publié: (2023)

EEG-Based Framework for Reflexive and Perceptual Assessment in CLIS: Preliminary Study in Healthy Volunteers
par: Leal, Nicoli, et autres
Publié: (2025)

Resting-State EEG Biomarkers of Tinnitus Robust to Cross-Subject and Cross-Platform Variation
par: Balaji, Adyant, et autres
Publié: (2026)

Graph Convolutional Neural Networks to Model the Brain for Insomnia
par: Monteiro, Kevin, et autres
Publié: (2025)