79 Open source projects that are alternatives of or similar to mnelab

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

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

eelbrain.readthedocs.io

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

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.

MATLAB / Octave tools for BIDS datasets

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

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

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

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

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

The dynamic infrastructure framework for everybody! Distribute the workload of many different scanning tools with ease, including nmap, ffuf, masscan, nuclei, meg and many more!

[DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time

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

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

Visual EEG readings from the Muse EEG Headset

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

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

Mother of All BCI Benchmarks

CS198-96: Intro to Neurotechnology @ UC Berkeley

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

SigViewer is a viewing application for biosignals.

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

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

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

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

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

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

PyTorch implementation of TSception

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

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

Parameterizing neural power spectra into periodic & aperiodic components.

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

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.

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

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

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

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

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

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

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

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

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

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

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

NEURAL: a neonatal EEG feature set in Matlab

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

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

A time series signal analysis and classification framework

Python + EEG/MEG = PyEEG

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

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

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

Example with Cortex V2 API

Neuroimaging in Julia

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.

MNE-CPP: A Framework for Electrophysiology

A package for manipulating EEG data in R.