TY - JOUR
T1 - BciPy
T2 - brain–computer interface software in Python
AU - Memmott, Tab
AU - Koçanaoğulları, Aziz
AU - Lawhead, Matthew
AU - Klee, Daniel
AU - Dudy, Shiran
AU - Fried-Oken, Melanie
AU - Oken, Barry
N1 - Funding Information:
was provided by NIH grant #R01 DC009834 and the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR grant #90RE507). We utilized many learnings from our group’s original MATLAB implementation of RSVP Keyboard [24]. We thank David Smith, Shaobin Xu, Deniz Erdogmus, Steven Bedrick, Brandon Eddy, Betts Peters, Deirdre McLaughlin, Ian Jackson, and Dani Smektala for their architectural considerations, code and feedback over the course of development.
Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - There are high technological and software demands associated with conducting Brain–Computer Interface (BCI) research. In order to accelerate the development and accessibility of BCIs, it is worthwhile to focus on open-source and community desired tooling. Python, a prominent computer language, has emerged as a language of choice for many research and engineering purposes. In this article, BciPy, an open-source, Python-based software for conducting BCI research is presented. 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).
AB - There are high technological and software demands associated with conducting Brain–Computer Interface (BCI) research. In order to accelerate the development and accessibility of BCIs, it is worthwhile to focus on open-source and community desired tooling. Python, a prominent computer language, has emerged as a language of choice for many research and engineering purposes. In this article, BciPy, an open-source, Python-based software for conducting BCI research is presented. 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).
KW - BCI
KW - EEG
KW - Electroencephalography
KW - Python
KW - software
UR - http://www.scopus.com/inward/record.url?scp=85100356223&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100356223&partnerID=8YFLogxK
U2 - 10.1080/2326263X.2021.1878727
DO - 10.1080/2326263X.2021.1878727
M3 - Article
AN - SCOPUS:85100356223
SN - 2326-263X
VL - 8
SP - 137
EP - 153
JO - Brain-Computer Interfaces
JF - Brain-Computer Interfaces
IS - 4
ER -