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Quantitative multisensory integration modeling (Sciuridae)
Local Knowledge Graph (10 entities)
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Knowledge graph centered on Quantitative multisensory integration modeling (Sciuridae) with 10 nodes and 18 connections. Top connected: focal animal sampling (Sciuridae), antipredator behavior, multisensory integration, signal detection theory, uncertainty.
Description
Development of a mathematical framework to predict when animals should integrate multisensory stimuli based on uncertainty, predator probability, and cost-benefit ratios. Uses signal detection theory and Bayesian updating.
Typical Equipment
- Mathematical modeling
- R version 3.0.2
Output Measurements
- favorability of integration
- value of information
- optimal behavioral decisions
