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:
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆62Updated last year
- ☆35Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- ☆62Updated last year
- A pipeline to automatically preprocess, analyze and visualize resting state EEG data.☆54Updated 3 months ago
- Matlab code for SBLEST algorithm☆43Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆63Updated 5 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 3 years ago
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆21Updated 3 years ago
- ☆22Updated 2 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆55Updated this week
- Hands-on tutorial on deep learning for EEG classification.☆78Updated last year
- Analysis of Transformer attention in EEG signal classification☆44Updated 9 months ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆148Updated last year
- Supporting code for the GX Dataset☆23Updated this week
- ☆20Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆73Updated 6 months ago
- Use DNNs to build encoding models of EEG visual responses.☆82Updated 2 months ago
- Code for training, evaluating, and visualizing performance of mental workload classification using fNIRS BCI sensors☆29Updated 3 years ago
- CNN-based fNIRS classification: Rethinking Delayed Hemodynamic Responses for fNIRS Classification☆23Updated 11 months ago
- ☆36Updated last year
- [Sensors 2024] Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN☆22Updated 11 months ago
- Code for preprocessing data for the Naturalistic viewing EEG FMRI data release from NKI☆40Updated 2 years ago
- Code for the paper "EEG Channel Interpolation Using Deep Encoder-decoder Networks"☆26Updated 3 years ago
- ☆30Updated 2 months ago
- ☆24Updated last month
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆43Updated 6 months ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆42Updated last year
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 11 months ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago