sabinechen / SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learningView external linksLinks
SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-Learning
☆24Sep 22, 2022Updated 3 years ago
Alternatives and similar repositories for SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning
Users that are interested in SPD-CNN-Using-Meta-Transfer-Learing-EEG-Cross-Subject-learning are comparing it to the libraries listed below
Sorting:
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆18Jun 11, 2023Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆44Sep 9, 2023Updated 2 years ago
- How EEG preprocessing shapes decoding performance☆16Jul 11, 2025Updated 7 months ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆100Jan 11, 2023Updated 3 years ago
- ☆20Mar 25, 2025Updated 10 months ago
- Using Stable Diffusion on the DEAP Dataset to argument new data and improve classification☆22Jun 23, 2023Updated 2 years ago
- Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.☆21Feb 21, 2023Updated 2 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆23Jun 7, 2022Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Aug 20, 2023Updated 2 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
- In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data u…☆22Jun 7, 2021Updated 4 years ago
- ☆13Sep 5, 2023Updated 2 years ago
- ☆17Oct 6, 2025Updated 4 months ago
- ☆72Aug 30, 2023Updated 2 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆13Aug 27, 2019Updated 6 years ago
- Conditional EEG diffusion model☆16Apr 5, 2024Updated last year
- Continual Online Recalibration with Pseudo-labels☆12Jun 20, 2024Updated last year
- Collection of materials and links to talks given, tools presented, software demos etc.☆13Jun 8, 2023Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Oct 27, 2022Updated 3 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆23Jul 12, 2023Updated 2 years ago
- Invariant representation learning from EEG within discriminative CNN architectures via adversarial censoring.☆14Feb 5, 2020Updated 6 years ago
- Source code for self-supervised EEG data transfer learning☆15Feb 9, 2022Updated 4 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Feb 2, 2022Updated 4 years ago
- ☆30Jun 25, 2025Updated 7 months ago
- Perform EEG Channel selection with Gumbel-softmax☆14Jan 5, 2021Updated 5 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31May 16, 2025Updated 8 months ago
- [CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters☆31Apr 24, 2023Updated 2 years ago
- Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…☆18Jan 1, 2025Updated last year
- ☆15Aug 20, 2023Updated 2 years ago
- [KBS 2025] Time-Frequency Transform Based Cross-Subject EEG Data Augmentation☆18Feb 3, 2026Updated last week
- Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Oct 25, 2021Updated 4 years ago
- ☆15Apr 1, 2024Updated last year
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Nov 2, 2022Updated 3 years ago
- Exploration of diffuison-based generative model to sychronizing brain dynamics from semantic language input.☆41Sep 21, 2023Updated 2 years ago
- Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models☆18Oct 11, 2023Updated 2 years ago
- ☆17Dec 16, 2024Updated last year
- Code for Cross-Task Neural Architecture Search for EEG Signals☆17Mar 7, 2023Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆36Apr 22, 2025Updated 9 months ago
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆20Mar 2, 2025Updated 11 months ago