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brain-poweredWith the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.
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ganglion-bleWeb Bluetooth client for the Ganglion brain-computer interface by OpenBCI
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EEGEduInteractive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse
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EEGwithRaspberryPIOpen-Source board for converting RaspberryPI to Brain-computer interface
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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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pybvA lightweight I/O utility for the BrainVision data format, written in Python.
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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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eeg-explorerVisual EEG readings from the Muse EEG Headset
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MoabbMother of All BCI Benchmarks
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hnn-coreSimulation and optimization of neural circuits for MEG/EEG source estimates
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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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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.
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Mutual labels: eeg
openmeegA C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.
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Mutual labels: eeg
EeglabEEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
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Mutual labels: eeg
eeguanaA package for manipulating EEG data in R.
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Mutual labels: eeg
ScouseTomOpen Source EIT system using Keithley 6221 current source and EEG systems
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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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Mutual labels: eeg
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.
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Mutual labels: eeg