The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value.
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TLDR
A quantitative, coordinate-based meta-analysis of 206 published fMRI studies investigating neural correlates of SV identifies two general patterns of SV-correlated brain responses, which appear to constitute a "valuation system," carrying a domain-general SV signal and potentially contributing to value-based decision making.About:
This article is published in NeuroImage.The article was published on 2013-08-01 and is currently open access. It has received 1519 citations till now. The article focuses on the topics: Ventromedial prefrontal cortex & Consumer neuroscience.read more
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Journal ArticleDOI
Co-Planar Stereotaxic Atlas of the Human Brain—3-Dimensional Proportional System: An Approach to Cerebral Imaging, J. Talairach, P. Tournoux. Georg Thieme Verlag, New York (1988), 122 pp., 130 figs. DM 268
Journal ArticleDOI
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.
Posted Content
The Neural Basis of Financial Risk Taking
Camelia M. Kuhnen,Brian Knutson +1 more
TL;DR: It is suggested that distinct neural circuits linked to anticipatory affect promote different types of financial choices and indicate that excessive activation of these circuits may lead to investing mistakes.
Journal ArticleDOI
An opportunity cost model of subjective effort and task performance.
TL;DR: It is argued that the phenomenology of effort can be understood as the felt output of these cost/benefit computations of the costs and benefits associated with task performance and motivates reduced deployment of these computational mechanisms in the service of the present task.
Journal ArticleDOI
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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Prospect theory: an analysis of decision under risk
Daniel Kahneman,Amos Tversky +1 more
TL;DR: In this paper, the authors present a critique of expected utility theory as a descriptive model of decision making under risk, and develop an alternative model, called prospect theory, in which value is assigned to gains and losses rather than to final assets and in which probabilities are replaced by decision weights.
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TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
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Prospect theory: analysis of decision under risk
Daniel Kahneman,Amos Tversky +1 more
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Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
Nathalie Tzourio-Mazoyer,B. Landeau,D. Papathanassiou,Fabrice Crivello,Octave Etard,Nicolas Delcroix,Bernard Mazoyer,Marc Joliot +7 more
TL;DR: An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain.
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Stephen M. Smith,Mark Jenkinson,Mark W. Woolrich,Mark W. Woolrich,Christian F. Beckmann,Behrens Tej.,Heidi Johansen-Berg,Peter R. Bannister,M De Luca,Ivana Drobnjak,D E Flitney,Rami K. Niazy,J Saunders,J Vickers,Yongyue Zhang,N. De Stefano,J M Brady,Paul M. Matthews +17 more
TL;DR: A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data.
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