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Open AccessJournal ArticleDOI

Frontal cortex and reward-guided learning and decision-making.

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TLDR
This work attempts to identify common themes in experiments with human participants and with animal models which suggest roles that the areas play in learning about reward associations, selecting reward goals, choosing actions to obtain reward, and monitoring the potential value of switching to alternative courses of action.
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This article is published in Neuron.The article was published on 2011-06-23 and is currently open access. It has received 957 citations till now. The article focuses on the topics: Orbitofrontal cortex & Ventromedial prefrontal cortex.

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The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function

TL;DR: This work presents a normative model of EVC that integrates three critical factors: the expected payoff from a controlled process, the amount of control that must be invested to achieve that payoff, and the cost in terms of cognitive effort.
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The role of medial prefrontal cortex in memory and decision making.

TL;DR: It is proposed that the function of the medial prefrontal cortex is to learn associations between context, locations, events, and corresponding adaptive responses, particularly emotional responses, and that mPFC likely relies on the hippocampus to support rapid learning and memory consolidation.
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Two cortical systems for memory-guided behaviour

TL;DR: It is suggested that the PRC and PHC–RSC are core components of two separate large-scale cortical networks that are dissociable by neuroanatomy, susceptibility to disease and function.
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Ventromedial prefrontal-subcortical systems and the generation of affective meaning

TL;DR: The vmPFC functions as a hub that links concepts with brainstem systems capable of coordinating organism-wide emotional behavior, a process described in terms of the generation of affective meaning, and which could explain the common role played by thevmPFC in a range of experimental paradigms.
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The neural bases of emotion regulation

TL;DR: Drawing on computational approaches to value-based decision-making and reinforcement learning, this work proposes a unifying conceptual framework for understanding the neural bases of diverse forms of emotion regulation.
References
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Journal ArticleDOI

Optimal foraging, the marginal value theorem.

TL;DR: This paper will develop a model for the use of a “patchy habitat” by an optimal predator and depresses the availability of food to itself so that the amount of food gained for time spent in a patch of type i is hi(T), where the function rises to an asymptote.
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The Neural Basis of Decision Making

TL;DR: This work focuses on simple decisions that can be studied in the laboratory but emphasize general principles likely to extend to other settings, including deliberation and commitment.
Book

Reinforcement learning

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The Organization of Networks within the Orbital and Medial Prefrontal Cortex of Rats, Monkeys and Humans

TL;DR: The OMPFC appears to function as a sensory-visceromotor link, especially for eating, which appears to be critical for the guidance of reward-related behavior and for setting of mood.
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Measuring utility by a single-response sequential method,

TL;DR: A sequential experiment that provides, at each stage in the sequence, an estimate of the utility to the subject of some amount of a commodity, and to present a few experimental results obtained with the method.
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