#Meg

Showing 10 of 10 repositories tagged #meg, ranked by stars

mne-tools
mne-tools
mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Score
100
★ 3.5k ⑂ 1.6k
Python
braindecode
braindecode
braindecode

Deep learning software to decode EEG, ECG or MEG signals

Score
100
★ 1.3k ⑂ 269 +4/day
Python
ayoubfathi
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.

Score
0
★ 1.2k ⑂ 171
mne-tools
mne-tools
mne-cpp

MNE-CPP: The C++ framework for real-time functional brain imaging.

Score
100
★ 173 ⑂ 142 +1/day
C++
openlists
openlists
ElectrophysiologySoftware

A list of openly available software tools for (mostly human) electrophysiology.

Score
33
★ 129 ⑂ 26
pelednoam
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

Score
0
★ 95 ⑂ 26
Shell
jonescompneurolab
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.

Score
0
★ 94 ⑂ 26
Python
mne-tools
mne-tools
mne-rsa

Representational Similarity Analysis on MEG and EEG data

Score
67
★ 87 ⑂ 16
Python
eegdash
eegdash
EEGDash

EEG-DaSh: an open data, tool, and compute resource. a Python library and catalog for 700+ BIDS-first EEG, MEG, fNIRS, EMG, and iEEG datasets, ML-ready via PyTorch

Score
50
★ 77 ⑂ 9 +2/day
Python
LukeTheHecker
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

Score
0
★ 53 ⑂ 12
Jupyter Notebook
Related Topics
#eeg#neuroscience#electroencephalography#magnetoencephalography#ecog#neuroimaging#python#visualization#data-analysis#electrocorticography#machine-learning#deep-learning

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