meeg-ml-benchmarks / brain-age-benchmark-paper
M/EEG brain age benchmark paper
☆24Updated last year
Related projects ⓘ
Alternatives and complementary repositories for brain-age-benchmark-paper
- The Batch Electroencephalography Automated Processing Platform (BEAPP)☆35Updated last month
- End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python☆23Updated 2 years ago
- TMS-EEG signal analyser (TESA) code repository☆17Updated 2 years ago
- ☆36Updated this week
- A Matlab Toolbox for correcting EEG artifacts using Riemannian Artifact Subspace Reconstruction.☆28Updated 4 years ago
- Covariance Data Frames for Predictive M/EEG Pipelines☆33Updated 8 months ago
- ☆35Updated last month
- 🧠 EEG Processing pipeline that annotates continuous data☆24Updated last month
- Code accompanying publication on GED tutorial☆30Updated 2 years ago
- Microstate analysis for use with MNE-Python☆47Updated 3 months ago
- EEGLAB plug-in to compute Phase-Amplitude Coupling using different methods☆35Updated 3 months ago
- Hidden Markov Modelling of M/EEG data.☆15Updated 3 years ago
- An easy to use decoding toolbox for Matlab users.☆26Updated 3 months ago
- A pipeline to automatically preprocess, analyze and visualize resting state EEG data.☆46Updated this week
- Code for simulating neural time series, spectrogram parameterization (using SPRiNT), and generating figures from the SPRiNT preprint☆39Updated last year
- Preprocessing Pipelines for EEG (MNE-python), fMRI (nipype), MEG (MNE-python/autoreject) data☆22Updated 2 years ago
- EEG microstate analysis☆37Updated last year
- A MATLAB application to automatize analysis of EEG data☆24Updated 5 years ago
- EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your M…☆38Updated 6 months ago
- Animated visualizers for signals.☆11Updated last year
- EEG data analyses for the Parameterizing Neural Power Spectra paper.☆19Updated 3 years ago
- Python code for the Riemannian Procrustes Analysis (RPA) method☆47Updated 9 months ago
- ☆21Updated last year
- ☆11Updated last year
- Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.☆11Updated 9 months ago
- Gerster et al. 2022. "Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations."☆12Updated last year
- Library for processing and analyizing EEG data, using tools and methods developped at ReichenbachLab☆13Updated 3 weeks ago
- This project contains the code for a deep learning architecture to analyze EEG data.☆37Updated 3 months ago
- Harvard Automated Pre-Processing Pipeline for EEG☆55Updated 9 months ago
- Complex-valued Morlet wavelets for EEG signal analysis and feature engineering.☆19Updated 3 months ago