ricsinaruto / MEG-group-decode
Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.
☆12Updated last year
Alternatives and similar repositories for MEG-group-decode
Users that are interested in MEG-group-decode are comparing it to the libraries listed below
Sorting:
- Whole-brain modelling of TMS-EEG TEPs (Momi et al. ELife 2023)☆14Updated 2 years ago
- An easy to use decoding toolbox for Matlab users.☆27Updated last month
- (version 2018) Toolbox for estimation and interpretation of whole-brain linear effective connectivity☆10Updated 5 years ago
- ☆22Updated 2 years ago
- ☆39Updated this week
- Covariance Data Frames for Predictive M/EEG Pipelines☆32Updated last year
- 🧠 EEG Processing pipeline that annotates continuous data☆28Updated last week
- M/EEG brain age benchmark paper☆28Updated 2 years ago
- Gerster et al. 2022. "Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations."☆13Updated 2 years ago
- Code for simulating neural time series, spectrogram parameterization (using SPRiNT), and generating figures from the SPRiNT preprint☆42Updated last year
- Whole-Brain Modelling in PyTorch☆27Updated last week
- Animated visualizers for signals.☆11Updated last year
- Toolbox for laminar inference with MEG☆17Updated 3 weeks ago
- Code accompanying publication on GED tutorial☆32Updated 3 years ago
- The Batch Electroencephalography Automated Processing Platform (BEAPP)☆37Updated 3 months ago
- NEAR - Neonatal EEG Artifact Removal, an automated pipeline for pre-processing.☆11Updated 2 months ago
- Dictionary of Functional Modes for brain imaging☆23Updated 4 years ago
- Neuropycon package of functions for electrophysiology analysis, can be used from graphpype and nipype☆26Updated 2 years ago
- How EEG preprocessing shapes decoding performance☆12Updated this week
- Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks☆13Updated last year
- Improvements of the ZapLine function to remove line noise from EEG/MEG data. Adds automatic detection of the number of components to remo…☆27Updated 2 years ago
- ☆36Updated 2 weeks ago
- ☆21Updated 2 years ago
- A GLM based approach to measure CFC☆16Updated 5 years ago
- EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your M…☆42Updated last year
- Microstate analysis for use with MNE-Python☆48Updated 3 months ago
- A Matlab Toolbox for correcting EEG artifacts using Riemannian Artifact Subspace Reconstruction.☆30Updated 4 years ago
- Hidden Markov Modelling of M/EEG data.☆17Updated 4 years ago
- End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python☆23Updated 2 years ago
- fooof+BOSC: A repository for the robust detection of oscillations at the single-trial level☆23Updated last year