FlyoVeR: 2D virtual reality for head-fixed walking flies


This page provides technical details and additional resources for the 2D virtual reality for head-fixed walking flies described in Haberkern et al. (2018) [1].

Please note that this website is still under construction. We are working on adding more information shortly.

If you have comments or feedback, please contact haberkern[at]janelia.hhmi.org.


[1] https://www.biorxiv.org/content/10.1101/462028v1




Additional information on fixation behavior in VR

In Haberkern et al. (2019) we compare fixation behavior of head-fixed walking flies in 1D and 2D virtual environments. Here we provide additional data on fixation  behavior across different wild type genotypes. Further, we show how experimental conditions and preparation of flies before the experiment can influence the behavioral phenotype. We compare three wild type genotypes,


We chose WTB flies because this genotype has been used in many previous publications on various walking behaviors [76, 77]. WTB hybrid flies were chosen to approximate the genotypes used in optogenetic activation experiments, where an effector line with WTB background is crossed to GAL4 driver lines with variable genetic backgrounds.

 


Technical details about FlyoVeR

The FlyoVeR application is a modified version of the Jovian/MouseoVeR software [1], hence the name. Like MouseoVeR, FlyoVeR was built from several powerful third-party, free and open source software components. The 3D graphics, in-memory scene model, and callback-oriented rendering loop in FlyoVeR were implemented in the C++ programming language using the cross-platform open source OpenSceneGraph library (version 3.4). The graphical user interface was also implemented using C++ based on the cross-platform open source Qt toolkit (version 4.8). The cross-platform build and packaging system was implemented with CMake (version 3.4).


FlyoVeR differs from the parent Jovian/MouseoVeR software in the following respects:


References:

[1]  Cohen, J.D., Bolstad, M., and Lee, A.K. (2017). Experience-dependent shaping of hippocampal CA1 intracellular activity in novel and familiar environments. eLife



Virtual world construction

Naming conventions used in FlyoVeR

Custom Collada (version 2.4) format scene files used in our experiments were created with the free 3D modeling program Blender (version 2.73). The Collada file format is a standardized XML format used to describe 3D graphics. Each object within the 3D scene had a unique name and a set of properties. Properties such as the color and texture were specified in Blender as “materials” that were then assigned to the respective object. Three other properties were communicated to FlyoVeR as part of the object’s name string:

The flags for visibility, penetrability and concavity could be combined in the name of a single object. By default, objects were “visible”, “penetrable” and “convex”. When loading a new scene file, FlyoVeR parsed the names of each object and assigned corresponding properties to the objects composing the virtual scene. Invisible objects could be used to mark special areas within the scene, such as the starting point of each trial, and control the delivery of other stimuli based on the fly’s position inside the VR. Two items, a small sphere and a plane above it, representing the virtual animal size and viewpoint and the initial animal location, are required in every scene and have to be names "_camera_block_pm_" and "_start_", respectively.

Exporting blender scene as collada file

The finished scene can be exported in .dae format. In Blender (Version 2.73) chose File -> Export -> Collada (.dae). A new window opens, where the user can select a file name and directory for the to be exported collada file. If the scene contains materials with mapped image textures, make sure to select "Include UV Textures" and "Include Material Textures" in the "Texture Options" panels on the lower left.

Virtual worlds used in the paper

Under construction



Building FlyoVeR

FlyoVeR can be quickly installed using an installer. [Link to github directory will be posted shortly.] 



How to run FlyoVeR

[Links to FlyoVeR userinterface elements currently not functional. Info on GUI will follow.]

  1. Launch RemoteDataServer
  2. Launch FlyOver version of your choosing.
  3. Click the Initialize button in the "Setup" tab [You should see your VR display turn black now]
  4. In the top left corner of the GUI window chose File->Open->[browse to your chosen .dae scene file]
  5. Then choose File -> Open -> Settings from XML to load configurations that were previously saved to file.
  6. Go through tabs and manually configure various parameters not automatically set by the XML settings file.
    1. In the “Setup” tab:
      • Set “Camera” from 1 to 2. Then, under “Warping*” select then deselect the “Enable” checkbox. 
      • Select “Enable Timed Trial” and set length to time of your choosing.
      • If running a 1D condition, select the “Yaw Only” box.
    2. In the “Configuration” tab:
      • On the right side adjust parameters that control how the virtual scene is displayed. Note that these vary with the geometry of the display on which the image generated by FlyOver is projected.
        • Set “Field of View” to 176.
        • Under “Frame Indicator”, set “Size” to 30, “Screen” to 1, and the horizontal slider bar from 1200 to 0.
        • Note that changing some of these parameters may not change what is displayed on the screen right away, but only after a "refresh" is triggered by e.g. enabling frame packing (see point c).
      • On the left side you can adjust the file export options:
        • Under “Output”, select “File Export?” and “Treadmill output”.  Then set “Style” to “Time Stamp”.
        • Then, next to “File Name” click on the “…” button to chose name and directory where the raw data file will be saved.
    3. In the “Display” tab, select Enable Frame Packing. Note that toggling this button can lead to FlyOver crashing.
  7. Go back to the “Setup” tab and click the Connect button to start the trial.