SGL-Net: An Ultralightweight Fatigue Detection Network in Fast Deployment Scenarios.

EEG-Based Motor Imagery Recognition Framework via Multisubject Dynamic Transfer and Iterative Self-Training.

Flashlight-Net: A Modular Convolutional Neural Network for Motor Imagery EEG Classification.

Dynamic Threshold Distribution Domain Adaptation Network: A Cross-Subject Fatigue Recognition Method Based on EEG Signals.

EEG-Based Multi-Frequency Multilayer Network for Exploring the Brain State Evolution Underlying Motor Imagery.

A Multiscale Feature Extraction Network Based on Channel-Spatial Attention for Electromyographic Signal Classification.

A Novel Complex Network-Based Graph Convolutional Network in Major Depressive Disorder Detection.

A Multifeatured Time-Frequency Neural Network System for Classifying sEMG.

MHLCNN: Multi-Harmonic Linkage CNN Model for SSVEP and SSMVEP Signal Classification.

Attention-Based Parallel Multiscale Convolutional Neural Network for Visual Evoked Potentials EEG Classification.

Rhythm-Dependent Multilayer Brain Network for the Detection of Driving Fatigue.

Core-Brain-Network-Based Multilayer Convolutional Neural Network for Emotion Recognition.