Bonsai: an event-based framework for processing and controlling data streams
Champalimaud Foundation · Uninova · +3 more institutions
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…
Citation impact
- FWCI
- 9.32
- Percentile
- 100%
- References
- 13
Authors
15Topics & keywords
- Computer science
- Asynchronous communication
- Modular design
- Data stream mining
- Computer architecture
- Software
- Event (particle physics)
- Visual programming language