Demo Data - DeNardoLab/BehaviorDEPOT GitHub Wiki

BehaviorDEPOT comes with demo data that can be used to test installation and preview the main features.

How to Use Demo Data

  • Each demo file can be downloaded from the Github repository (in the 'demo' folder).
  • Each demo contains a video file that can be found at this link.
  • Demo files will also contain tracking files, saved as CSV.
  • Demo files will contain hB files for demos 1,2, and 7.
  • Demo files will also contain cue files (saved as CSVs), where applicable.

Demo Data Descriptions

Demo 1

  • This demo is a clip of a mouse in a basic fear conditioning chamber.
  • Meant to demo the Analysis Module and the velocity freezing classifier.
  • Recorded at 50fps on high-resolution camera.
  • Features 8 point tracking (Nose, L.Ear, R.Ear, MidBack, L.Leg, R.Leg, Tailbase, Tail).

Demo 2

  • This demo is a clip of a mouse performing a platform-mediated avoidance task.
  • Meant to demo the Analysis Module, the velocity freezing classifier on an animal with a head-mount, and custom spatial and temporal filters.
  • Recorded at 30fps on a basic webcam.
  • Features 9 point tracking (Implant, Nose, L.Ear, R.Ear, MidBack, L.Leg, R.Leg, Tailbase, Tail).
  • Includes a cue file (CSV) with time-locked counts of tone periods.
  • Select at least 1 custom ROI (platform) and 1 temporal filter (cue file --> tone).

Demo 3

  • This demo is a clip of a mouse in an Elevated Plus Maze arena.
  • This clip is meant to demo the 'calculateEPM' analysis function.
  • You do not need to select any custom ROIs; all task ROIs will be generated by the classifier.
  • Task ROIs:
  1. O1 (Open Arm 1)
  2. O2 (Open Arm 2)
  3. C1 (Closed Arm 1)
  4. C2 (Closed Arm 2)
  5. Center

Demo 4

  • This demo is a clip of a mouse in an Open Field Test arena.
  • This clip is meant to demo the 'calculateOFT' analysis function.
  • You do not need to select any custom ROIs; all task ROIs will be generated by the classifier.
  • Task ROIs:
  1. Arena (ROI encompassing the arena)
  2. Center (ROI of the region to consider the center

Demo 5

  • This demo is a clip of a mouse in a T-Maze arena.
  • This clip is meant to demo the 'calculateTMaze' analysis function.
  • You do not need to select any custom ROIs; all task ROIs will be generated by the classifier.
  • Task ROIs:
  1. Approach (The bottom of the T, where the animal enters the maze)
  2. Choice (The zone at the intersection of all 3 arms; the area where the animal decides between the arms)
  3. Effort_L (The area on the left arm where the animal exerts effort (e.g. barrier) when choosing the arm; the region of the left arm closest to the center)
  4. Effort_R (The area of the right arm where the animal exerts effort when choosing the arm; the region of the right arm closest the center)
  5. Reward_L (The area on the left arm where the reward is; the far part of the left arm)
  6. Reward_R (The area on the right arm where the reward is; the far part of the right arm)

Demo 6

  • This demo is a clip of a mouse in an open field performing a novel object investigation.
  • This clip is meant to demo the 'calculateExploration' classifier.
  • You do not need to select any custom ROIs; all task ROIs will be generated by the classifier.
  • Task ROIs:
  1. Object Perimeter (Area encompassing the novel object to explore)

Demo 7

  • This demo is meant to demonstrate usage of the Inter-Rater Module.
  • This demo consists of hB files collected from different 4 different raters.
  • Download the demo folder and run the IR Module on it to use.