BciPy: Brain-Computer Interface Software in Python
This provides accessible tooling for BCI researchers, but it is incremental as it adapts existing paradigms to a Python framework.
The authors developed BciPy, an open-source Python software for brain-computer interface (BCI) research, focusing on restoring communication via event-related potential spelling interfaces, with modules for data acquisition, signal processing, and task building.
There are high technological and software demands associated with conducting brain-computer interface (BCI) research. In order to accelerate the development and accessibility of BCI, it is worthwhile to focus on open-source and desired tooling. Python, a prominent computer language, has emerged as a language of choice for many research and engineering purposes. In this manuscript, we present BciPy, an open-source, Python-based software for conducting BCI research. It was developed with a focus on restoring communication using event-related potential (ERP) spelling interfaces, however, it may be used for other non-spelling and non-ERP BCI paradigms. Major modules in this system include support for data acquisition, data queries, stimuli presentation, signal processing, signal viewing and modeling, language modeling, task building, and a simple Graphical User Interface (GUI).