The pyDecNef library provides an open and straightforward framework to perform real-time fMRI decoded neurofeedback studies in Python.
From the creation of the working space, through the scripts for decoder construction and fMRI volumes pre-processing, to the scripts for neurofeedback training and data post-processing.
In addition, introductory tutorials on the decoded neurofeedback technique and an advanced use of the pyDecNef pipeline are provided.
Although this library, as it is, is oriented to the development of classical decoded neurofeedback studies, it can be easily customized for other real-time brain-computer interface paradigms.
For example, experiments using GLM, adaptive experimental designs where experimental conditions are modified based on brain activation patterns, optimization and calibration designs, mental reading and signal reconstruction paradigms...
For more information and tutorials visit pyDecNef project webpage.
pyDecNef is © 2021-2022 by Pedro Margolles & David Soto.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License version 3 as published by the Free Software Foundation.
This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details.
Permissions of this strong copyleft license are conditioned on making available complete source code of licensed works and modifications, which include larger works using a licensed work, under the same license. Copyright and license notices must be preserved. Contributors provide an express grant of patent rights.