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
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
Citations
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DistinctRolesofThreeFrontalCorticalAreasin Reward-GuidedBehavior
TL;DR: A psychophysiological interaction analysis demonstrated changed coupling between lOFC and brain areas for visual object representation, and rewardguided learning, such as the amygdala, ventral striatum, and habenula/mediodorsal thalamus.
Journal ArticleDOI
Cognitive and neural bases of visual-context-guided decision-making
TL;DR: In this paper , a series of studies were conducted to investigate the behavioral and neural mechanisms underlying visual salience-driven decision-making, and the salience effect is feedback-specific.
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Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence
TL;DR: This paper found that the ventromedial prefrontal-cortex (vmPFC) can flexibly switch between value representations in a task-dependent manner, and that irrelevant value representations compete with relevant value signals, interact with task-state representations and relate to behavioral signs of value competition.
Journal ArticleDOI
Behavioral and neural representation of expected reward and risk
Sai Sun,Chuhua Cai,Rongjun Yu +2 more
TL;DR: In this article , eye movements, response times, and brain activity when participants seek to secure a reward were measured using a modified monetary incentive delay task in which the mean of two possible outcomes and the standard deviation (SD) of the possible outcomes (risk) were parametrically manipulated and orthogonalized, and they found that RTs varied as a function of the mean but not the SD of the potential reward.
Dissertation
Neural plasticity in decision making and memory formation
TL;DR: FMRI techniques used in combination with computational modelling reveal how world models are represented and updated at the level of neural representations, providing a bridge between representational codes and cognitive computations.
References
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Book
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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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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.