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
Sorting:
- 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 6 months ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆48Updated 2 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆71Updated 9 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- 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☆26Updated 2 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆11Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆77Updated 4 years ago
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆18Updated 4 years ago
- code for LMDA☆79Updated last year
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆15Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆69Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated last year
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆43Updated last year
- 使用的pytorch编写的eegnet代码，方便现在进行调试☆23Updated last year
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆34Updated 3 weeks ago
- A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG c…☆25Updated 10 months ago
- EEG Motor Imagery with Deep Learning☆13Updated 3 years ago
- Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python☆40Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 5 months ago
- ☆35Updated 11 months ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆129Updated last year
- ☆80Updated 3 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆118Updated last year
- ☆20Updated last year
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago