Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 2023). Our meta-learning approach is compared to transfer learning in terms of accuracy after few-shot fine-tuning on new subjects for EEG-based motor imagery classification.
☆17Jun 11, 2023Updated 3 years ago
Alternatives and similar repositories for iclr2023-meta-learning-eeg-mi-classification
Users that are interested in iclr2023-meta-learning-eeg-mi-classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆25Sep 22, 2022Updated 4 years ago
- ☆12Sep 21, 2024Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Nov 13, 2023Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Jan 11, 2023Updated 3 years ago
- Source code for self-supervised EEG data transfer learning☆14Feb 9, 2022Updated 4 years ago
- 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.
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Aug 20, 2023Updated 3 years ago
- Code accompanying The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network☆11Jan 4, 2022Updated 4 years ago
- An EEG dichotomy program file , using CSP and SVM.☆28Jun 27, 2020Updated 6 years ago
- EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network☆14Apr 12, 2023Updated 3 years ago
- ☆13Nov 15, 2022Updated 3 years ago
- This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual Inter…☆107Jun 4, 2023Updated 3 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆15Jan 11, 2021Updated 5 years ago
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆21Jun 7, 2021Updated 5 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆20Jul 12, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆30May 2, 2023Updated 3 years ago
- Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models☆10Apr 12, 2023Updated 3 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆31Aug 30, 2020Updated 6 years ago
- For test☆12May 28, 2024Updated 2 years ago
- The official implementation of ICLR2025 paper for shift-invariant neural networks☆11Apr 27, 2025Updated last year
- ☆41May 28, 2024Updated 2 years ago
- ☆11Jun 26, 2022Updated 4 years ago
- Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals☆11Oct 26, 2022Updated 4 years ago
- 过滤式特征选择 Filter feature selection:mutual information、chisquare、fisher score☆11Apr 15, 2020Updated 6 years ago
- 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.
- Synergistic information via data disclosure.☆11Mar 29, 2024Updated 2 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆42Jan 27, 2021Updated 5 years ago
- Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆38Oct 25, 2021Updated 5 years ago
- Python package for computing partial information decomposition.☆13Mar 15, 2019Updated 7 years ago
- ManifoldNet Paper Implementation for SPD(n)☆11Nov 10, 2021Updated 4 years ago
- Differential entropy features of EEG dataset☆13Mar 28, 2023Updated 3 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆66Oct 12, 2022Updated 4 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Jul 29, 2023Updated 3 years ago
- Motor Imagery EEG-BCIs - From 0 to Deep Learning with BCI-IV 2a dataset☆10Oct 25, 2022Updated 4 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.
- Data preparation for brain image classification/segmentation using ADNI dataset☆13Dec 28, 2025Updated 10 months ago
- Leveraging Visual Blur Perception Characteristics for EEG Decoding [AAAI 2026]☆16Jun 27, 2026Updated 4 months ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆35Apr 22, 2025Updated last year
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10May 1, 2022Updated 4 years ago
- An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation☆20Sep 8, 2022Updated 4 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆47Feb 1, 2021Updated 5 years ago
- Similarity Learning applied to Speaker Verification and Semantic Textual Similarity☆13Apr 8, 2020Updated 6 years ago