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Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
A Decision Architecture for Safety Computations
Sarah M Tashjian1, Tomislav D Zbozinek1, Dean Mobbs2
1Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA.
Abstract:
Accurately estimating safety is critical to pursuing nondefensive survival behaviors. However, little attention has been paid to how the human brain computes safety. We conceptualize a model that consists of two components: (i) threat-oriented evaluations that focus on threat value, imminence, and predictability; and (ii) self-oriented evaluations that focus on the agent's experience, strategies, and ability to control the situation. Our model points to the dynamic interaction between these two components as a mechanism of safety estimation. Based on a growing body of human literature, we hypothesize that distinct regions of the ventromedial prefrontal cortex (vmPFC) respond to threat and safety to facilitate survival decisions. We suggest safety is not an inverse of danger, but reflects independent computations that mediate defensive circuits and behaviors.
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