# BciPy: Brain-Computer Interface Software in Python

arXiv: https://arxiv.org/abs/2002.06642 · HTML: https://mlsanity.com/paper/2002.06642/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Feb 2020.

## Built on by (most cited first, 2 of 2)

- [Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models](https://mlsanity.com/paper/2211.02630/) (2022)
- [PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces](https://mlsanity.com/paper/2509.00670/) (2025)

## Abstract (arXiv)

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).