کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6267719 | 1645517 | 2016 | 10 صفحه PDF | دانلود رایگان |

- This toolbox adds VR capability to any pre-existing data acquisition framework.
- Cross-species usage, from rodents to humans, is supported.
- Possible paradigms range from simple search to complex contextual learning.
- Can be paired with eye tracking and electrophysiological recording.
- Minimizes implementation costs and doesn't require specific hardware.
BackgroundAlthough simplified visual stimuli, such as dots or gratings presented on homogeneous backgrounds, provide strict control over the stimulus parameters during visual experiments, they fail to approximate visual stimulation in natural conditions. Adoption of virtual reality (VR) in neuroscience research has been proposed to circumvent this problem, by combining strict control of experimental variables and behavioral monitoring within complex and realistic environments.New methodWe have created a VR toolbox that maximizes experimental flexibility while minimizing implementation costs. A free VR engine (Unreal 3) has been customized to interface with any control software via text commands, allowing seamless introduction into pre-existing laboratory data acquisition frameworks. Furthermore, control functions are provided for the two most common programming languages used in visual neuroscience: Matlab and Python.ResultsThe toolbox offers milliseconds time resolution necessary for electrophysiological recordings and is flexible enough to support cross-species usage across a wide range of paradigms.Comparison with existing methodsUnlike previously proposed VR solutions whose implementation is complex and time-consuming, our toolbox requires minimal customization or technical expertise to interface with pre-existing data acquisition frameworks as it relies on already familiar programming environments. Moreover, as it is compatible with a variety of display and input devices, identical VR testing paradigms can be used across species, from rodents to humans.ConclusionsThis toolbox facilitates the addition of VR capabilities to any laboratory without perturbing pre-existing data acquisition frameworks, or requiring any major hardware changes.
Journal: Journal of Neuroscience Methods - Volume 266, 15 June 2016, Pages 84-93