Matching Behavior and the Representation of Value in the Parietal Cortex

Psychologists and economists have long appreciated the contribution of reward history and expectation to decision-making. Yet we know little about how specific histories of choice and reward lead to an internal representation of the "value" of possible actions. We approached this problem t...

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Bibliographic Details
Published in:Science (American Association for the Advancement of Science) 2004-06, Vol.304 (5678), p.1782-1787
Main Authors: Sugrue, Leo P., Corrado, Greg S., Newsome, William T.
Format: Article
Language:English
Subjects:
Anatomy & physiology
Animal behavior
Animal training
Animals
Behavior modeling
Biological and medical sciences
Brain Mapping
Choice Behavior
Computer Simulation
Cues
Decision Making
Eye Movements
Foraging
Fundamental and applied biological sciences. Psychology
Income estimates
International law
Macaca mulatta
Male
Mathematics
Modeling
Models, Psychological
Monkeys
Monkeys & apes
Motor Reactions
Neurology
Neurons
Neurons - physiology
Parametric models
Parietal Lobe - physiology
Physiological aspects
Probability
Regression Analysis
Research Article
Reward
Rewards
Saccades
Vertebrates: nervous system and sense organs
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Summary:Psychologists and economists have long appreciated the contribution of reward history and expectation to decision-making. Yet we know little about how specific histories of choice and reward lead to an internal representation of the "value" of possible actions. We approached this problem through an integrated application of behavioral, computational, and physiological techniques. Monkeys were placed in a dynamic foraging environment in which they had to track the changing values of alternative choices through time. In this context, the monkeys' foraging behavior provided a window into their subjective valuation. We found that a simple model based on reward history can duplicate this behavior and that neurons in the parietal cortex represent the relative value of competing actions predicted by this model.
ISSN:0036-8075
1095-9203
DOI:10.1126/science.1094765