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BciPy: Brain-Computer Interface Software in Python by Memmott, Tab; Koçanaoğulları, Aziz; Lawhead, Matthew; Klee, Daniel; Dudy, Shiran; Fried-Oken, Melanie; Oken, Barry is a scholarly article available to read on EtoBox.

What is BciPy: Brain-Computer Interface Software in Python about?

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).

Author

Memmott, Tab; Koçanaoğulları, Aziz; Lawhead, Matthew; Klee, Daniel; Dudy, Shiran; Fried-Oken, Melanie; Oken, Barry

Published

2020

Language

EN