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Creating and controlling visual environments using BonVision.
Gonçalo Lopes1, Karolina Farrell2, Edward Ab Horrocks2
1NeuroGEARS Ltd., London, United Kingdom.
Elife
|April 21, 2021
Summary
Researchers developed BonVision, an open-source software for creating real-time visual environments. This tool simplifies complex closed-loop experiments for studying brain function and behavior in various animal models.
Area of Science:
- Neuroscience
- Computer Science
- Bioengineering
Background:
- Real-time closed-loop visual environments are crucial for understanding brain function and behavior.
- Current implementations are complex, limiting accessibility for non-experts and widespread adoption.
Purpose of the Study:
- To develop an accessible, open-source software solution for creating real-time closed-loop visual environments.
- To facilitate advanced experimental designs in neuroscience and behavioral research.
Main Methods:
- Developed BonVision, an open-source software based on the Bonsai graphical programming language.
- Integrated BonVision with experimental hardware for seamless data acquisition and stimulus presentation.
- Enabled real-time interaction with deep neural networks and communication with measurement devices.
Main Results:
- BonVision provides an easy-to-use platform for displaying virtual reality, augmented reality, and standard visual stimuli.
- Successfully tested on humans and mice, demonstrating versatility across different species.
- Facilitates integration with diverse experimental hardware and deep neural networks for closed-loop control.
Conclusions:
- BonVision democratizes the creation of sophisticated closed-loop visual experiments.
- The software supports novel experimental designs and broadens research capabilities in neuroscience and behavioral studies.
- Its open-source nature and hardware integration foster wider adoption and collaboration in the scientific community.
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