FieldtripThe MATLAB toolbox for MEG, EEG and iEEG analysis
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Mutual labels: eeg, neuroimaging
bids-matlabMATLAB / Octave tools for BIDS datasets
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Mutual labels: eeg, neuroimaging
mne-bidsMNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
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Mutual labels: eeg, neuroimaging
Hitchhackers guide brainA list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG
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Mutual labels: eeg, neuroimaging
hnnThe 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.
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Mutual labels: eeg, electrophysiology
Mne PythonMNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Mutual labels: eeg, neuroimaging
clinicaSoftware platform for clinical neuroimaging studies
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Mutual labels: neuroimaging
socialRLCode and data for Zhang, Lengersdorff et al. (2020)
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Mutual labels: neuroimaging
clinicadlFramework for the reproducible processing of neuroimaging data with deep learning methods
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bidskitUtility functions for working with DICOM and BIDS neuroimaging data
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Mutual labels: neuroimaging
sigviewerSigViewer is a viewing application for biosignals.
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Mutual labels: eeg
neurosky-android-sdkAndroid SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset
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Mutual labels: eeg
python-meegkit🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧
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Mutual labels: eeg
qEEG feature setNEURAL: a neonatal EEG feature set in Matlab
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brain-monitorA terminal app written in Node.js to monitor brain signals in real-time
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Mutual labels: eeg
antropyAntroPy: entropy and complexity of (EEG) time-series in Python
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eeg-adaptSource Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
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bidscoinBIDScoin converts your source-level neuroimaging data to BIDS
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Mutual labels: neuroimaging
EEGwithRaspberryPIOpen-Source board for converting RaspberryPI to Brain-computer interface
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eeg-gcnnResources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
Stars: ✭ 50 (+28.21%)
Mutual labels: eeg