78 Open source projects that are alternatives of or similar to NeuroTechX-McGill-2019

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Blackrock Microsystems Cerebus Link for Neural Signal Processing

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

EEG Reader is an Android mobile application, which reads EEG signal from NeuroSky mobile device connected to smartphone via Bluetooth.

Web Bluetooth client for the Ganglion brain-computer interface by OpenBCI

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

Interactive neuroscience tutorial app using Muse and React Native to teach EEG and BCI basics.

Resources 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.

MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

PyTorch implementation of TSception

A terminal app written in Node.js to monitor brain signals in real-time

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

SigViewer is a viewing application for biosignals.

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Simulation and optimization of neural circuits for MEG/EEG source estimates

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

Neuroimaging in Julia

A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.

A list of openly available datasets in (mostly human) electrophysiology.

Python + EEG/MEG = PyEEG

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Connectome 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.

📊 EEG signal processing and machine learning in JavaScript

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

A lightweight I/O utility for the BrainVision data format, written in Python.

AntroPy: entropy and complexity of (EEG) time-series in Python

Visual EEG readings from the Muse EEG Headset

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

Mother of All BCI Benchmarks

A time series signal analysis and classification framework

CS198-96: Intro to Neurotechnology @ UC Berkeley

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

Converting real-time EEG into sounds, music and visual effects

NEURAL: a neonatal EEG feature set in Matlab

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

Parameterizing neural power spectra into periodic & aperiodic components.

Open Source EIT system using Keithley 6221 current source and EEG systems

EntroPy: complexity of time-series in Python (DEPRECATED)

A package for manipulating EEG data in R.

A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG

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

With the Brain Powered honourscourse at the UvA we aimed to control a drone using brain signals, measured by means of EEG, only.

python implementations of Analyzing Neural Time Series Textbook

Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5

MNE-CPP: A Framework for Electrophysiology

A 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.

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

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.

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

Example with Cortex V2 API

eelbrain.readthedocs.io

MATLAB / Octave tools for BIDS datasets

Open-Source board for converting RaspberryPI to Brain-computer interface