Title: the Neural Representation of Subjective Value under Risk and Ambiguity 1 2

By J. Snell, Amy J. Nelson, Aldo Rustichini, Paul Glimcher. 2009

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Citations in the corpus

Mushroom body output neurons encode valence and guide memory-based action selection in Drosophila (2014, background): “In mammals, neural representations of abstract variables such as ‘value’, ‘risk’ and ‘confidence’ are thought to participate in cognition leading to action selection (for example, see Kepecs et al., 2008; Kiani and Shadlen, 2009; Levy et al., 2010; Yanike and Ferrera, 2014).”
Neural computations associated with goal-directed choice. (2010, background): “[26] have extended these findings by showing that the mOFC encodes stimulus values when there is ambiguity (i.”
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty (2014, background): “[15] were able to show that the neural representation of subjective value in situations where the estimation of different outcome probabilities is possible and in situations in which this is not possible, relies on the same structures, namely the striatum and the medial prefrontal cortex.”
The root of all value: a neural common currency for choice (2012, background): “Levy et al. (2010) [27], in a similar vein, searched for neural representations of www.sciencedirect.com both risky (when the probabilities are known) and ambiguous (when the probabilities are unknown) monetary lotteries.”
NEUROBIOLOGY OF ECONOMIC CHOICE: A GOOD-BASED MODEL (2011, background): “…Watson & Platt 2008) and human imaging (Brooks et al. 2010, Christopoulos et al. 2009, De Martino et al. 2009, FitzGerald et al. 2009, Gregorios-Pippas et al. 2009, Hsu et al. 2009, Levy et al. 2010, Peters & Buchel 2009, Pine et al. 2009, Shenhav & Greene 2010)—is now standard in neuroeconomics.”