BciPy: brain–computer interface software in Python

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

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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).

Original languageEnglish (US)
Pages (from-to)137-153
Number of pages17
JournalBrain-Computer Interfaces
Issue number4
StatePublished - 2021


  • BCI
  • EEG
  • Electroencephalography
  • Python
  • software

ASJC Scopus subject areas

  • Biomedical Engineering
  • Human-Computer Interaction
  • Behavioral Neuroscience
  • Electrical and Electronic Engineering


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