ManTouCIBR / CNN-training-testing-templates-for-processing-EEG-signals
A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, visualization of results (loss, acc, obfuscation, PR, RE)
☆20Updated last year
Alternatives and similar repositories for CNN-training-testing-templates-for-processing-EEG-signals:
Users that are interested in CNN-training-testing-templates-for-processing-EEG-signals are comparing it to the libraries listed below
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- This is just a simple code of how to process EEG data when I learn motor imagination, just for reference.At the same time, it also contai…☆15Updated 5 months ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- code for LMDA☆79Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆18Updated 4 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated last year
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆69Updated 8 months ago
- 使用的pytorch编写的eegnet代码,方便现在进行调试☆22Updated last year
- A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG c…☆25Updated 10 months ago
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆25Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆68Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆65Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆76Updated 4 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆90Updated last year
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆67Updated 4 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆43Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆125Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆116Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆37Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- A Novel Decoding Approach for Hybrid EEG-fNIRS BCI.☆13Updated last month
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- 在 SEED 数据集上做 EEG 情绪识别☆109Updated 4 years ago