meg
There are 164 repositories under meg topic.
pry0cc/axiom
The dynamic infrastructure framework for everybody! Distribute the workload of many different scanning tools with ease, including nmap, ffuf, masscan, nuclei, meg and many more!
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
analyticalmonk/awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
ayoubfathi/leaky-paths
A collection of special paths linked to common sensitive APIs, devops internals, frameworks conf, known misconfigurations, juicy APIs ..etc. It could be used as a part of web content discovery, to scan passively for high-quality endpoints and quick-wins.
fieldtrip/fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
sccn/eeglab
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
brainstorm-tools/brainstorm3
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
fooof-tools/fooof
Parameterizing neural power spectra into periodic & aperiodic components.
openlists/ElectrophysiologyData
A list of openly available datasets in (mostly human) electrophysiology.
forrestbao/pyeeg
Python + EEG/MEG = PyEEG
cbrnr/mnelab
MNELAB – a GUI for MNE
nbara/python-meegkit
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
ZitongLu1996/NeuroRA
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
mne-tools/mne-cpp
MNE-CPP: A Framework for Electrophysiology
autoreject/autoreject
Automated rejection and repair of bad trials/sensors in M/EEG
mne-tools/mne-bids
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
alphacsc/alphacsc
Convolution dictionary learning for time-series
learn-neuroimaging/hitchhackers_guide_brain
A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG
makism/dyconnmap
A dynamic connectome mapping module in python.
openlists/ElectrophysiologySoftware
A list of openly available software tools for (mostly human) electrophysiology.
pelednoam/mmvt
The Multi-Modality Visualization Tool (MMVT) is built for researchers who wish to have a better understanding of their neuroimaging anatomical and spatio-temporal data
jonescompneurolab/hnn
The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
openmeeg/openmeeg
A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.
0x676e67/MSI-MEG-Z490I-Unify-Hackintosh-EFI
🖥 MSI MEG Z490I UNIFY + i9-10850k + Radeon RX5500 XT Hackintosh EFI(OpenCore)
spm/spm
SPM (Statistical Parametric Mapping) - Development Version
wmvanvliet/mne-rsa
Representational Similarity Analysis on MEG and EEG data
bids-standard/bids-matlab
MATLAB / Octave tools for BIDS datasets
jonescompneurolab/hnn-core
Simulation and optimization of neural circuits for MEG/EEG source estimates
DiGyt/asrpy
Artifact Subspace Reconstruction for Python
sidchop/brainconn
Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D
Remi-Gau/eCobidas
Working repository to turn the COBIDAS guidelines to report methods and results in neuroimaging into a user friendly checklist
AaltoImagingLanguage/conpy
Python package for power mapping and functional connectivity using DICS
LukeTheHecker/esinet
EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
neurofractal/PACmeg
MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data