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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bids-matlabMATLAB / Octave tools for BIDS datasets
Stars: ✭ 37 (-2.63%)
python-meegkit🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧
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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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Mne PythonMNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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hnn-coreSimulation and optimization of neural circuits for MEG/EEG source estimates
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mnelabMNELAB – a GUI for MNE
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apertureMatlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains
Stars: ✭ 15 (-60.53%)
openmeegA C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.
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MachineLearningMachine learning for beginner(Data Science enthusiast)
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ganglion-bleWeb Bluetooth client for the Ganglion brain-computer interface by OpenBCI
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Deep-Learning-for-BCIResources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
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neurosky-android-sdkAndroid SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset
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eeg-explorerVisual EEG readings from the Muse EEG Headset
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bruceR📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
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AxiomThe dynamic infrastructure framework for everybody! Distribute the workload of many different scanning tools with ease, including nmap, ffuf, masscan, nuclei, meg and many more!
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AttnSleep[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
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thesisMSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)
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MoabbMother of All BCI Benchmarks
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Neurotech CourseCS198-96: Intro to Neurotechnology @ UC Berkeley
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antropyAntroPy: entropy and complexity of (EEG) time-series in Python
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DeepsleepnetDeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
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EegsynthConverting real-time EEG into sounds, music and visual effects
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Muse JsMuse 2016 EEG Headset JavaScript Library (using Web Bluetooth)
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TSceptionPyTorch implementation of TSception
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EEGReaderEEG Reader is an Android mobile application, which reads EEG signal from NeuroSky mobile device connected to smartphone via Bluetooth.
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pybvA lightweight I/O utility for the BrainVision data format, written in Python.
Stars: ✭ 18 (-52.63%)
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 (+31.58%)
anova.pyPython 3.6+ module to interface with the Anova 👨🏽🍳 Sous-vide cooker ⏱️ private API.
Stars: ✭ 49 (+28.95%)
brain-poweredWith the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.
Stars: ✭ 13 (-65.79%)
BrainflowBrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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FooofParameterizing neural power spectra into periodic & aperiodic components.
Stars: ✭ 162 (+326.32%)
ElectrophysiologydataA list of openly available datasets in (mostly human) electrophysiology.
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EEG convolutional neural netA convolutional neural network developed in python using the Keras machine learning framework used to categorize brain signal based on what a user was looking at when the EEG data was collected.
Stars: ✭ 20 (-47.37%)
EntropyEntroPy: complexity of time-series in Python (DEPRECATED)
Stars: ✭ 142 (+273.68%)
EeglabEEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Stars: ✭ 233 (+513.16%)
Brainstorm3Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
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ScouseTomOpen Source EIT system using Keithley 6221 current source and EEG systems
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TapasTAPAS - Translational Algorithms for Psychiatry-Advancing Science
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pyRiemannPython machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry
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Bci.js📊 EEG signal processing and machine learning in JavaScript
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Eeg 101Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.
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EegruntA Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse
Stars: ✭ 171 (+350%)
EEGwithRaspberryPIOpen-Source board for converting RaspberryPI to Brain-computer interface
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Deep BciAn open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Stars: ✭ 168 (+342.11%)
connectomemapper3Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.
Stars: ✭ 45 (+18.42%)
sigviewerSigViewer is a viewing application for biosignals.
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PyeegPython + EEG/MEG = PyEEG
Stars: ✭ 126 (+231.58%)
eeguanaA package for manipulating EEG data in R.
Stars: ✭ 16 (-57.89%)
brain-monitorA terminal app written in Node.js to monitor brain signals in real-time
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candockA time series signal analysis and classification framework
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BioAmp-v1.5Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5
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qEEG feature setNEURAL: a neonatal EEG feature set in Matlab
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eeg-adaptSource Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
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rteeg[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time
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Mne CppMNE-CPP: A Framework for Electrophysiology
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