AKiessner / TUHAbnormal-Expansion-dataset
☆10Updated last year
Alternatives and similar repositories for TUHAbnormal-Expansion-dataset:
Users that are interested in TUHAbnormal-Expansion-dataset are comparing it to the libraries listed below
- M/EEG brain age benchmark paper☆26Updated 2 years ago
- How EEG preprocessing shapes decoding performance☆12Updated 2 weeks ago
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python☆23Updated 2 years ago
- NEAR - Neonatal EEG Artifact Removal, an automated pipeline for pre-processing.☆10Updated 2 weeks ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆54Updated 2 years ago
- Submission to the Motor Imagery track of BEETL competition, organized within NeurIPS 2021☆11Updated 2 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆34Updated 2 years ago
- ☆15Updated 3 months ago
- Library for processing and analyizing EEG data, using tools and methods developped at ReichenbachLab☆13Updated this week
- ☆59Updated last year
- ☆9Updated 3 years ago
- Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.☆11Updated last year
- CNN-Former model with EEG-ME for SSVEP classification (TNSRE)☆12Updated 6 months ago
- [CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters☆26Updated last year
- Code for "Robust EEG processing with dynamic spatial filtering", Banville et al. 2021☆29Updated 2 years ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆51Updated last month
- Open implementation and code from the publication "EEGSym: Overcoming Intersubject Variability in Motor Imagery Based BCIs with Deep Lear…☆23Updated last year
- Classification of EEG signals into silence vs listening☆20Updated 2 years ago
- ☆11Updated last year
- Self-supervised learning for EEG☆25Updated 4 years ago
- ☆33Updated last month
- Code repository for S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models☆17Updated last year
- ☆24Updated 2 months ago
- code for NeurIPS_competition☆27Updated 3 years ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…☆16Updated last year
- ☆13Updated last year
- 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
- ☆9Updated 3 years ago