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arXiv · 2002.06642

BciPy: Brain-Computer Interface Software in Python

Tab Memmott·Aziz Koçanaoğulları·Matthew Lawhead·Daniel Klee·Shiran Dudy·Melanie Fried-Oken·Barry Oken
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Abstract

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).

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Tab Memmott, Aziz Koçanaoğulları, Matthew Lawhead, Daniel Klee, Shiran Dudy, Melanie Fried-Oken, Barry Oken. 2020-02-16. BciPy: Brain-Computer Interface Software in Python. https://arxiv.org/abs/2002.06642

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