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OpenNFT is an integrated software package designed for neurofeedback training.

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OpenNFT

OpenNFT is a GUI-based multi-processing open-source software package for real-time fMRI neurofeedback training and quality assessment. This package is based on best practices of the platform-independent interpreted programming languages Python and Matlab to facilitate concurrent functionality, high modularity, and the ability to extend the software in Python or Matlab depending on end-user preferences. OpenNFT includes, but is not limited to, the functionality of SPM, PsychoPy and Psychtoolbox software suits. The OpenNFT’s GUI, synchronization module and multi-processing core are implemented in Python, whilst computational modules for real-time data processing and neurofeedback are implemented in Matlab.

Refer to OpenNFT.org and to our "Koush et al., Neuroimage 2017. OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis" and "Koush et al., Data in Brief 2017. Real-time fMRI data for testing OpenNFT functionality" manuscripts for further descriptions.

Installation and Documentation

https://opennft.readthedocs.io/en/latest

Demo Configuration and Protocol files

https://github.com/OpenNFT/OpenNFT/tree/master/opennft/configs

Demo datasets

https://github.com/OpenNFT/OpenNFT_Demo/releases

Video Tutorials

Note OpenNFT GUI of 2017, yet reasonable content (to be updated). https://github.com/OpenNFT/OpenNFT_VideoTutorials/releases

Courses

https://github.com/OpenNFT/Courses/releases

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OpenNFT is an integrated software package designed for neurofeedback training.

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  • MATLAB 53.1%
  • Python 46.9%