BciPy: Brain-Computer Interface Software in Python
February 16, 2020 Β· Declared Dead Β· π Brain-Computer Interfaces
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Authors
Tab Memmott, Aziz KoΓ§anaoΔullarΔ±, Matthew Lawhead, Daniel Klee, Shiran Dudy, Melanie Fried-Oken, Barry Oken
arXiv ID
2002.06642
Category
cs.HC: Human-Computer Interaction
Citations
18
Venue
Brain-Computer Interfaces
Last Checked
4 months ago
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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