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使用 BonVision 创建和控制视觉环境。

Creating and controlling visual environments using BonVision.

机构信息

NeuroGEARS Ltd., London, United Kingdom.

UCL Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, London, United Kingdom.

出版信息

Elife. 2021 Apr 21;10:e65541. doi: 10.7554/eLife.65541.

Abstract

Real-time rendering of closed-loop visual environments is important for next-generation understanding of brain function and behaviour, but is often prohibitively difficult for non-experts to implement and is limited to few laboratories worldwide. We developed BonVision as an easy-to-use open-source software for the display of virtual or augmented reality, as well as standard visual stimuli. BonVision has been tested on humans and mice, and is capable of supporting new experimental designs in other animal models of vision. As the architecture is based on the open-source Bonsai graphical programming language, BonVision benefits from native integration with experimental hardware. BonVision therefore enables easy implementation of closed-loop experiments, including real-time interaction with deep neural networks, and communication with behavioural and physiological measurement and manipulation devices.

摘要

闭环视觉环境的实时渲染对于下一代大脑功能和行为的理解非常重要,但对于非专业人士来说,通常很难实现,而且在全球范围内也仅限于少数几个实验室。我们开发了 BonVision,作为一种易于使用的开源软件,用于显示虚拟现实、增强现实以及标准视觉刺激。BonVision 已经在人类和小鼠身上进行了测试,并且能够支持其他视觉动物模型中的新实验设计。由于该架构基于开源的 Bonsai 图形编程语言,因此 BonVision 受益于与实验硬件的原生集成。因此,BonVision 使得闭环实验的实现变得容易,包括与深度神经网络的实时交互,以及与行为和生理测量与操作设备的通信。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/769b/8104957/595afaf71a7f/elife-65541-fig1.jpg

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