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Joseph W. Kable

Researcher at University of Pennsylvania

Publications -  139
Citations -  10415

Joseph W. Kable is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Temporal discounting & Intertemporal choice. The author has an hindex of 37, co-authored 125 publications receiving 8425 citations. Previous affiliations of Joseph W. Kable include University of Nebraska Medical Center & Emory University.

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The neural correlates of subjective value during intertemporal choice

TL;DR: Functional magnetic resonance imaging is used to show that neural activity in several brain regions—particularly the ventral striatum, medial prefrontal cortex and posterior cingulate cortex—tracks the revealed subjective value of delayed monetary rewards.
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The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value.

TL;DR: 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.
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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.
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The Neurobiology of Decision: Consensus and Controversy

TL;DR: From these studies, the basic outline of the neurobiological mechanism for primate choice is beginning to emerge and is now known to include a multicomponent valuation stage, implemented in ventromedial prefrontal cortex and associated parts of striatum, and a choice stage, implementation in lateral prefrontal and parietal areas.
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Variability in the analysis of a single neuroimaging dataset by many teams

Rotem Botvinik-Nezer, +220 more
- 04 Jun 2020 - 
TL;DR: The results obtained by seventy different teams analysing the same functional magnetic resonance imaging dataset show substantial variation, highlighting the influence of analytical choices and the importance of sharing workflows publicly and performing multiple analyses.