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Updated: Sep 21, 2025

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A Behavioral Assay for Investigating the Role of Spatial Memory During Instinctive Defense in Mice
Published on: July 21, 2018
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Threat history controls flexible escape behavior in mice
Stephen C Lenzi1, Lee Cossell1, Benjamin Grainger1
1Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, 25 Howland Street, London W1T 4JG, UK.
Current Biology : CB
|June 6, 2022
Summary
Mice can learn to suppress escape responses to visual threats, a phenomenon termed learned suppression of escape (LSE). This adaptive decision-making process is robust and crucial for survival, offering insights into neurophysiological mechanisms.
Area of Science:
- Neuroscience
- Behavioral Biology
- Decision-Making Science
Background:
- External sensory stimuli guide behavioral responses, crucial for survival.
- Predator-avoidance behaviors like freezing and escape are key decision-making processes.
- The perceived threat value of environmental stimuli changes over time, requiring adaptive behavioral strategies.
Purpose of the Study:
- To investigate adaptive control of decision-making in response to threat.
- To probe the properties of threat escape behavior in laboratory mice (Mus musculus).
- To establish a model system for studying experience-dependent decision-making.
Main Methods:
- Developed an experimental paradigm to study threat escape in mice.
- Utilized visual looming stimuli to elicit escape responses.
- Assessed learned suppression of escape (LSE) persistence and specificity.
Main Results:
- Mice exhibited robust escape to visual looming stimuli after social isolation.
- Mice rapidly learned to suppress escape responses to non-threatening visual stimuli (LSE).
- LSE was robust, long-lasting, specific, and dependent on threat-escape history, not mere habituation.
Conclusions:
- Learned suppression of escape (LSE) is a robust, experience-dependent adaptive behavior.
- Action selection for escape is updated by recent threat history.
- LSE provides a valuable model for understanding the neurophysiology of adaptive decision-making.

