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Bayesian decision-making under stress-preserved weighting of prior and likelihood information
Iris Vilares
, Sabrina Trapp
Psychology (Twin Cities)
Research output
:
Contribution to journal
›
Article
3
Scopus citations
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Dive into the research topics of 'Bayesian decision-making under stress-preserved weighting of prior and likelihood information'. Together they form a unique fingerprint.
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Keyphrases
Sensory Information
100%
Existing Knowledge
100%
Bayesian Decision Analysis
100%
Prior Uncertainty
100%
Decision Making under Stress
100%
Sensory Uncertainty
100%
Functional Consequences
50%
Stress Response
50%
Bayesian Framework
50%
Bayesian Statistics
50%
Stress Rating
50%
Complex Scenarios
50%
Stress Change
50%
Sensory Data
50%
Sensitivity to Change
50%
Novel Input
50%
Subjective Stress
50%
Motor Decision
50%
Perceptual Domain
50%
Cold Pressure
50%
Sensory-motor
50%
Psychology
Decision Making
100%
Bayesian Decision Making
100%
Bayes Theorem
50%
Neuroscience
Decision-Making
100%
Behavior (Neuroscience)
33%