An automatic valuation system in the human brain: evidence from functional neuroimaging.
Maël Lebreton,Maël Lebreton,Soledad Jorge,Soledad Jorge,Vincent Michel,Bertrand Thirion,Mathias Pessiglione,Mathias Pessiglione +7 more
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TLDR
It is verified that brain regions encoding preferences can valuate various categories of objects and further test whether they still express preferences when attention is diverted to another task.About:
This article is published in Neuron.The article was published on 2009-11-12 and is currently open access. It has received 393 citations till now. The article focuses on the topics: Functional neuroimaging.read more
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Understanding psychiatric disorder by capturing ecologically relevant features of learning and decision-making.
TL;DR: It is proposed that using computational models with tasks that capture ecologically relevant learning and decision‐making processes may provide a critical advantage for capturing the mechanisms underlying symptoms of disorders in psychiatry.
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Dopamine D2-receptor blockade enhances decoding of prefrontal signals in humans
TL;DR: Results suggest that D2-receptor blockade enhances content-specific representations in frontal cortex, presumably by a dopamine-mediated increase in pattern separation, in line with a dual-state model of prefrontal dopamine.
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Activity in Inferior Parietal and Medial Prefrontal Cortex Signals the Accumulation of Evidence in a Probability Learning Task
TL;DR: It is concluded that activity in inferior parietal and medial prefrontal cortex reflects the amount of evidence accumulated in favor of competing and uncertain outcomes.
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Automatic processing of political preferences in the human brain.
Anita Tusche,Anita Tusche,Thorsten Kahnt,David Wisniewski,David Wisniewski,John-Dylan Haynes +5 more
TL;DR: It is shown that the automatic preference-related processing in the brain extended to real-world behavior that involved actual financial loss to participants and indicates that brain responses triggered by unattended and task-irrelevant political images reflect individual political preferences at different levels of abstraction.
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Over a Decade of Neuroeconomics: What Have We Learned?:
Arkady Konovalov,Ian Krajbich +1 more
TL;DR: This paper reviewed some of the major topics that have emerged in neuroeconomics and highlighted findings that they believe will form the basis for future applications to economics, when possible, focusing on existing applications and future directions for that research.
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TL;DR: Theory of games and economic behavior as mentioned in this paper is the classic work upon which modern-day game theory is based, and it has been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations.
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Parallel Organization of Functionally Segregated Circuits Linking Basal Ganglia and Cortex
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Separate Neural Systems Value Immediate and Delayed Monetary Rewards
TL;DR: The authors examined the neural correlates of time discounting while subjects made a series of choices between monetary reward options that varied by delay to delivery and demonstrated that two separate systems are involved in such decisions.