129 Open source projects that are alternatives of or similar to Hitchhackers_guide_brain

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

MATLAB / Octave tools for BIDS datasets

Neuroimaging in Julia

The MATLAB toolbox for MEG, EEG and iEEG analysis

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

MNELAB – a GUI for MNE

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Coordinate- and image-based meta-analysis in Python

eelbrain.readthedocs.io

Microstate EEGlab toolbox

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

3D Visualization of Brain MRI

Probabilistic Threshold-Free Cluster Enhancement of Neuroimages

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

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

Diffusion MRI analysis and visualization in 3D Slicer open source medical imaging platform.

fmriflows is a consortium of many (dependent) fMRI analysis pipelines, including anatomical and functional pre-processing, univariate 1st and 2nd-level analysis, as well as multivariate pattern analysis.

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

FSL-R Interface package

ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

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

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

Multi-modal Image Registration And Connectivity anaLysis

SigViewer is a viewing application for biosignals.

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

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

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

Core methods and structures for neuroscience research in Julia.

Slicer extensions index

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

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

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

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

Example with Cortex V2 API

Pycortex is a python-based toolkit for surface visualization of fMRI data

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

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

A time series signal analysis and classification framework

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

medical image visualization library and development toolkit

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

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

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

Blackrock Microsystems Cerebus Link for Neural Signal Processing

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

Multi-platform, free open source software for visualization and image computing.

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

Multi-platform, free open source software for visualization and image computing.

BIDScoin converts your source-level neuroimaging data to BIDS

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

NEURAL: a neonatal EEG feature set in Matlab

Fusion ICA Toolbox (MATLAB)

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.

Machine learning for NeuroImaging in Python

Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other…

Deep Learning Toolkit for Medical Image Analysis

Learn Nipype with these tutorial notebooks - go here to see them online -->

EEG Sleep stage classification using CNN with Keras

Workflows and interfaces for neuroimaging packages