End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG...
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Rec...
i. A practical application of Transformer (ViT) on 2-D physiological sig...
[TNNLS-2023] This is the PyTorch implementation of LGGNet.
EEG Signal Classification using LSTM on various datasets
Analyze and manipulate EEG data using PyEEGLab.
Using Deep Learning for Emotion Classification on EEG signals (SEED Data...
A general matlab framework for EEG data classification
This example shows how to build and train a convolutional neural network...
Open-Source. With deep learning to neuroscience world with shield for je...
Universal Joint Feature Extraction for P300 EEG Classification Using Mul...
source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Featur...
Motor Imagery EEG Signal Classification Using Random Subspace Ensemble N...
A set of tools to analyze and create charts from Muse EEG devices.