140 Open source projects that are alternatives of or similar to Neuroimaging.jl

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

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

MATLAB / Octave tools for BIDS datasets

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.

The MATLAB toolbox for MEG, EEG and iEEG analysis

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

Graph theory analysis of brain MRI data

Framework for the reproducible processing of neuroimaging data with deep learning methods

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

The NeuroMorph analysis and visualization toolkit

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

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

A package for manipulating EEG data in R.

NeuroInformatics Database

Software platform for clinical neuroimaging studies

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

Code and data for Zhang, Lengersdorff et al. (2020)

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

Utility functions for working with DICOM and BIDS neuroimaging data

A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

SigViewer is a viewing application for biosignals.

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

Curate, visualize, annotate, and share your behavioral ephys data using Python

[This repository is archived, will be deprecated after the release of phy 2.0]

Code related to Neuroimaging Analysis Replication and Prediction Study

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

C++ lsl library for multi-modal time-synched data transmission over the local network

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

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

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

The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠

NEURAL: a neonatal EEG feature set in Matlab

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

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

Multichannel time series lossless compression in pure Python based on NumPy and zlib

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

Elephant is the Electrophysiology Analysis Toolkit

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

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.

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 Python-based module for creating flexible and robust spike sorting pipelines.

MATLAB/Octave GIfTI Library

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.

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

Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)

CellExplorer is a graphical user interface, a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.

PyTorch implementation of TSception

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

BIDScoin converts your source-level neuroimaging data to BIDS

A framework for developing neural network models for 3D image processing.

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

Method container for computational neuroscience on brains.

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

Visual EEG readings from the Muse EEG Headset

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

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

Mother of All BCI Benchmarks

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

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

Multi-modal Image Registration And Connectivity anaLysis