PT  - JOURNAL ARTICLE
AU  - Gonçalo Lopes
AU  - Niccolò Bonacchi
AU  - João Frazão
AU  - Joana Neto
AU  - Bassam Atallah
AU  - Sofia Soares
AU  - Luís Moreira
AU  - Sara Matias
AU  - Pavel M. Itskov
AU  - Patrícia Correia
AU  - Roberto Medina
AU  - Elena Dreosti
AU  - Joseph J. Paton
AU  - Adam R. Kampff
TI  - Bonsai: An event-based framework for processing and controlling data streams
AID  - 10.1101/006791
DP  - 2014 Jan 01
TA  - bioRxiv
PG  - 006791
4099  - http://biorxiv.org/content/early/2014/07/02/006791.short
4100  - http://biorxiv.org/content/early/2014/07/02/006791.full
AB  - The design of modern scientific experiments requires the control and monitoring of many parallel data streams. However, the serial execution of programming instructions in a computer makes it a challenge to develop software that can deal with the asynchronous, parallel nature of scientific data. Here we present Bonsai, a modular, high-performance, open-source visual programming framework for processing data streams. We will describe Bonsai’s core principles and architecture while specifically highlighting some of the applications that were developed during one year of use in an active neuroscience research institute.