Turbo-BrainVoyager provides a variety of options for interacting with the software, making it flexible and accessible for users with different levels of expertise and backgrounds. For example, those familiar with MATLAB can use the MATLAB Network Interface to connect to Turbo-BrainVoyager and access its many features. This interface allows for the seamless integration of MATLAB scripts and functions, making it possible to perform complex analysis and manipulations with ease.
Another option is to use Python via Expyriment, a free and open-source Python library for conducting behavioral and neuroimaging experiments. To get started with Expyriment and Turbo-BrainVoyager, you can check out the Network Interface for Expyriment on Github: https://github.com/expyriment/expyriment-stash/blob/master/extras/expyriment_io_extras/tbvnetworkinterface/_tbvnetworkinterface.py. This will allow you to easily integrate Turbo-BrainVoyager into your Python experiments and take advantage of its powerful features.
The general Network Interface for Turbo-BrainVoyager is automatically started with Turbo-BrainVoyager from version 5.0 onwards.