87 Open source projects that are alternatives of or similar to eeg-explorer

Blackrock Microsystems Cerebus Link for Neural Signal Processing

A time series signal analysis and classification framework

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

Outdated, see new https://github.com/braindecode/braindecode

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

📊 EEG signal processing and machine learning in JavaScript

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

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

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

EEG Sleep stage classification using CNN with Keras

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

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

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

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

MNELAB – a GUI for MNE

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

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

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

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

NEURAL: a neonatal EEG feature set in Matlab

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

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.

Microstate EEGlab toolbox

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

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

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

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

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

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

python implementations of Analyzing Neural Time Series Textbook

Fusion ICA Toolbox (MATLAB)

CS198-96: Intro to Neurotechnology @ UC Berkeley

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

MNE-CPP: A Framework for Electrophysiology

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

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

Example with Cortex V2 API

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

eelbrain.readthedocs.io

Mother of All BCI Benchmarks

Neuroimaging in Julia

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

MATLAB / Octave tools for BIDS datasets

Parameterizing neural power spectra into periodic & aperiodic components.

SigViewer is a viewing application for biosignals.

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

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.

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

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

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

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

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

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

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

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

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

Python + EEG/MEG = PyEEG

The MATLAB toolbox for MEG, EEG and iEEG analysis