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.

FED3 is a device for behavioral training of mice in vivarium home-cages. Mice interact with FED3 through two nose-pokes and FED3 responds with visual stimuli, auditory stimuli, and by dispensing pellets. As it is used in the home-cage FED3 can be used for around-the-clock training of mice over several weeks. FED3 is open-source and can be built by users for ~10-20x less than commercial solutions for training mice. The control code is also open-source and was designed to be easily modified by users.