78 Open source projects that are alternatives of or similar to Brainstorm3

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

MATLAB / Octave tools for BIDS datasets

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

Fusion ICA Toolbox (MATLAB)

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

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

eelbrain.readthedocs.io

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

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.

Detect EEG artifacts, outliers, or anomalies using supervised machine learning.

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

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

MNE-CPP: A Framework for Electrophysiology

Matlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains

Parameterizing neural power spectra into periodic & aperiodic components.

Example with Cortex V2 API

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

Neuroimaging in Julia

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

SigViewer is a viewing application for biosignals.

Real-time processing and plotting of data streamed over LSL, with a focus on student-led BCI projects.

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

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

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

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Outdated, see new https://github.com/braindecode/braindecode

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

📊 EEG signal processing and machine learning in JavaScript

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

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

Blackrock Microsystems Cerebus Link for Neural Signal Processing

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

MNELAB – a GUI for MNE

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

A wheelchair controlled by EEG brain signals and enhanced with assisted driving

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

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

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

A time series signal analysis and classification framework

A Node.js library that reads your mind with Emotiv EPOC EEG headset

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

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

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

EEG Sleep stage classification using CNN with Keras

NEURAL: a neonatal EEG feature set in Matlab

Python + EEG/MEG = PyEEG

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

Microstate EEGlab toolbox

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

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

The MATLAB toolbox for MEG, EEG and iEEG analysis

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

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

CS198-96: Intro to Neurotechnology @ UC Berkeley

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

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

python implementations of Analyzing Neural Time Series Textbook

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).