Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores
☆53Apr 16, 2021Updated 5 years ago
Alternatives and similar repositories for Deep-Learning-BCI-IV-2a
Users that are interested in Deep-Learning-BCI-IV-2a are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆49Aug 16, 2022Updated 4 years ago
- BCI Competition IV dataset 2a☆34Jun 8, 2019Updated 7 years ago
- This is a repository for BCI Competition 2008 dataset IV 2a fixed and optimized for python and numpy. This dataset is related with motor …☆165Jul 28, 2025Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆169Mar 26, 2020Updated 6 years ago
- Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.☆11Mar 25, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆19Feb 1, 2020Updated 6 years ago
- ☆72Dec 10, 2018Updated 7 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆40Aug 20, 2023Updated 3 years ago
- ☆31Dec 4, 2024Updated last year
- Dual-Branch Convolution Network with Efficient Channel Attention for EEG-Based Motor Imagery Classification☆18Aug 19, 2024Updated 2 years ago
- EEG motor imagery classification using convolutional neural networks☆43Mar 25, 2023Updated 3 years ago
- EEG Motor Imagery with Deep Learning☆13Feb 25, 2022Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 5 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆94Mar 4, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆27Apr 18, 2024Updated 2 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☆30Feb 6, 2023Updated 3 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Apr 22, 2025Updated last year
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆26May 30, 2023Updated 3 years ago
- Preprocesamiento de BCI Competition IV data set 2a☆11Oct 28, 2020Updated 5 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆357Aug 16, 2026Updated last month
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Jul 7, 2021Updated 5 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆333Mar 23, 2023Updated 3 years ago
- ☆98Sep 5, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"☆22Feb 14, 2024Updated 2 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆112Oct 14, 2019Updated 6 years ago
- code for LMDA☆90Jul 14, 2023Updated 3 years ago
- ☆10Sep 25, 2019Updated 6 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆13Jul 28, 2022Updated 4 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆80Apr 12, 2018Updated 8 years ago
- ☆17May 21, 2025Updated last year
- Demonstrate the code used in "Using Recurrent Neural Networks for P300-Based Brain-Computer Interface"☆31Feb 6, 2018Updated 8 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆77Apr 15, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆41May 28, 2024Updated 2 years ago
- ☆17Dec 16, 2024Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆144Nov 25, 2023Updated 2 years ago
- EEG Motor Imagery Classification Using CNN, Transformer, and MLP☆37Jul 29, 2025Updated last year
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Oct 25, 2022Updated 3 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆87Feb 22, 2021Updated 5 years ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆93Aug 3, 2024Updated 2 years ago