Freezing Duration
Total time spent immobile
ConductVision · Behavioral Analysis
Freezing Detection
Automated freezing bout detection for fear conditioning, PTSD, and anxiety research.
Built-inRodentAnxietyAuto Export
ConductVision / Freezing Detection
Recording / Trial 3subject tracked
Freezing Duration42%
Freezing Percentage18%
Bout Count8
Key Parameters
Metrics automatically extracted by ConductVision.
Freezing Percentage
Percent of session in freezing state
Bout Count
Number of discrete freezing episodes
Mean Bout Length
Average duration per freezing episode
Latency to First Freeze
Time from stimulus to first freeze
Freezing by Epoch
Freezing percentage in time bins
+ 2 more parameters trackedShow allHide
Movement Threshold
Pixel-change sensitivity for freeze/non-freeze boundary
Contextual vs Cued
Freezing in context A vs tone presentation
What is Freezing Detection?
Freezing — the complete cessation of movement except breathing — is the gold-standard measure of conditioned fear. It is central to fear conditioning paradigms, PTSD models, and anxiolytic drug screening, making automated freezing quantification essential for high-throughput behavioral neuroscience.
ConductVision detects freezing via two complementary methods: MOG2 background subtraction measuring pixel change below a calibrated threshold, and U-Net deep-learning segmentation for higher accuracy in complex backgrounds. Both methods run in real time during acquisition and produce frame-by-frame freezing classifications.
Research Applications
Fear Conditioning
- Contextual fear conditioning — freezing in the training context
- Cued fear conditioning — freezing to tone or light CS presentation
- Fear extinction — decline in freezing over unreinforced CS trials
- Fear renewal — return of freezing in a different context
Anxiety Research
- Generalized anxiety models — baseline freezing in novel environments
- PTSD models — enhanced freezing and extinction resistance
- Anxiolytic drug screening — dose-response freezing reduction
Learning & Memory
- Associative learning — CS-US pairing acquisition curves
- Memory consolidation — post-training freezing retention
- Reconsolidation — freezing after memory reactivation and disruption
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