kovalalvi / beiraLinks
BEIRA: BOLD from EEG Interpretable Regression Autoencoder. Prediction subcortical BOLD activity from EEG data
☆25Updated 2 years ago
Alternatives and similar repositories for beira
Users that are interested in beira are comparing it to the libraries listed below
Sorting:
- Matlab code for SBLEST algorithm☆44Updated last year
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆65Updated 2 years ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆59Updated 3 years ago
- ☆66Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- ☆32Updated last year
- Public EEG Dataset☆65Updated 2 years ago
- Hands-on tutorial on deep learning for EEG classification.☆83Updated last year
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆45Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆48Updated 3 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆64Updated 4 months ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆156Updated 2 years ago
- Use DNNs to build encoding models of EEG visual responses.☆93Updated 7 months ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆66Updated 5 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 4 years ago
- Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral visi…☆37Updated 3 years ago
- ☆132Updated 2 years ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆22Updated 2 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆103Updated 6 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 2 weeks ago
- EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)☆39Updated 3 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆91Updated 4 months ago
- Deep learning model for EEG artifact removal☆78Updated 3 years ago
- ☆21Updated 2 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated 4 months ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆180Updated 3 years ago