Title |
Bonsai: an event-based framework for processing and controlling data streams
|
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Published in |
Frontiers in Neuroinformatics, April 2015
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DOI | 10.3389/fninf.2015.00007 |
Pubmed ID | |
Authors |
Gonçalo Lopes, Niccolò Bonacchi, João Frazão, Joana P. Neto, Bassam V. Atallah, Sofia Soares, LuÃs Moreira, Sara Matias, Pavel M. Itskov, PatrÃcia A. Correia, Roberto E. Medina, Lorenza Calcaterra, Elena Dreosti, Joseph J. Paton, Adam R. Kampff |
Abstract |
The design of modern scientific experiments requires the control and monitoring of many different 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 the acquisition and online processing of data streams. We describe Bonsai's core principles and architecture and demonstrate how it allows for the rapid and flexible prototyping of integrated experimental designs in neuroscience. We specifically highlight some applications that require the combination of many different hardware and software components, including video tracking of behavior, electrophysiology and closed-loop control of stimulation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 16% |
Portugal | 4 | 16% |
Japan | 2 | 8% |
United Kingdom | 2 | 8% |
Switzerland | 1 | 4% |
Italy | 1 | 4% |
Libya | 1 | 4% |
Unknown | 10 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 72% |
Scientists | 5 | 20% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 7 | 2% |
United States | 4 | <1% |
United Kingdom | 3 | <1% |
Brazil | 1 | <1% |
France | 1 | <1% |
Norway | 1 | <1% |
India | 1 | <1% |
Unknown | 416 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 94 | 22% |
Researcher | 84 | 19% |
Student > Bachelor | 61 | 14% |
Student > Master | 58 | 13% |
Student > Doctoral Student | 19 | 4% |
Other | 51 | 12% |
Unknown | 67 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 164 | 38% |
Agricultural and Biological Sciences | 108 | 25% |
Engineering | 20 | 5% |
Medicine and Dentistry | 17 | 4% |
Psychology | 13 | 3% |
Other | 40 | 9% |
Unknown | 72 | 17% |