Neural Economics and the Biological Substrates of Valuation
By P. R. Montague, Gregory S. Berns. Neuron, 2002
754 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/c84b5f55cbed8e56c9c3fbec7154bcced8d52aa7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Kent C. Berridge
- B. Casey
- Mark T. Harnett
- Ann M. Graybiel
- John P. O'Doherty
- Paul Glimcher
- Colin F. Camerer
- Wolfram Schultz
In Cognitive Neuroscience
- Antonio Rangel
- Brian Knutson
- Colin F. Camerer
- John P. O'Doherty
- B. Casey
- Ernst Fehr
- Paul Glimcher
- Wolfram Schultz
Citations in the corpus
- Affect and decision making: A hot topic (2006, positive): “Montague and Berns (2002) link this notion to ‘‘neural responses in the orbitofrontal-striatal circuit which may support the conversion of disparate types of future rewards into a kind of internal currency, that is, a common scale used to compare the valuation of future behavioral acts or stimuli’’…”
- Midbrain dopamine neurons encode a quantitative reward prediction error signal. (2005, positive): “... predicts the occurrence in time of Taken together, these findings support and extend the a later stimulus that also predicts a reward, it has been hypothesis (Schultz et al., 1997) that midbrain dopashown that dopamine activity after learning is complete mine neurons encode a reward prediction e”
- Neurons in the Frontal Lobe Encode the Value of Multiple Decision Variables (2009, neutral): “Although it would be possible to evaluate and compare different choice outcomes on a case-by-case basis, there are several computational advantages in assigning them to a linear value scale that generalizes across multiple decision variables (Montague & Berns, 2002).”
- Oxytocin shapes the neural circuitry of trust and trust adaptation in humans. (2008, positive): “Our work is based on the combination of neuroscientific tools with economic experiments which recently gained momentum through the neuroeconomics research agenda (Camerer et al., 2005; Cohen and Blum, 2002; De Quervain et al., 2004; Delgado et al., 2004; Fehr and Camerer, 2007; Glimcher, 2002; Glimc”
- Habits, rituals, and the evaluative brain. (2008, positive): “…et al. 2005, Bartels & Zeki 2004) and in social situations mimicked by interactive games and cost-benefit protocols (de Quervain et al. 2004, Elliott et al. 2004, Harbaugh et al. 2007, King-Casas et al. 2005, Montague & Berns 2002, O'Doherty et al. 2004, Tricomi et al. 2004, Zink et al. 2004).”
- Functional Neuroimaging of Intertemporal Choice Models: A Review (2010, positive): “The use of a single mechanism for valuation would provide significant advantages (Montague & Berns, 2002; Sugrue, Corrado, & Newsome, 2004), most notably by providing a common currency for comparisons between different forms of reward (Klein, Deaner, & Platt, 2008).”
- Computational roles for dopamine in behavioural control (2004, neutral): “The picture emerging from this work is that responses in this region may reflect an encoding of rewards along a common valuation scal”
- The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value (2013, positive): “Qualitative reviews of this work (e.g., Delgado, 2007; Grabenhorst and Rolls, 2011; Kable and Glimcher, 2009; Knutson and Cooper, 2005; Levy and Glimcher, 2012; Montague and Berns, 2002; O'Doherty, 2004; Peters and Büchel, 2010) have concluded that: (1) BOLD signal in a small number of regions, incl”
- Distributed Neural Representation of Expected Value (2005, positive): “All organisms, from bees to bridge builders, must forecast the future to decide what to do next (Montague and Berns, 2002).”
- Dopamine, Reward Prediction Error, and Economics (2008, neutral): “Studies using fMRI in humans have shown that dopamine areas also respond positively to the receipt of more abstract rewards, such as money (Montague and Berns 2002; Knutson and Peterson 2005).”
- Temporal prediction errors in a passive learning task activate human striatum. (2003, positive): “All subjectsvalue of disparate stimuli (Montague and Berns, 2002). were right-handed and were physically and psychologically normal,As more evidence accumulates on human reward proas determined through interviews conducted prior to the experi-cessing using fMRI, we can test the hypothesis that ment.”
- Dopamine in motivational control: rewarding, aversive, and alerting (2010, positive): “Computational models using a TD-like reinforcement signal can explain many aspects of reinforcement learning in humans, animals, and DA neurons themselves (Sutton and Barto, 1981; Waelti et al., 2001; Montague and Berns, 2002; Dayan and Niv, 2008).”
- The adolescent brain. (2008, positive): “…shown to increase in activity immediately prior to making risky choices on monetary-risk paradigms (Kuhnen & Knutson, 2005; Matthews et al., 2004; Montague & Berns, 2002) and as described previously, adolescents show exaggerated accumbens activity to rewarding outcomes relative to children or…”
- Evidence for a Common Representation of Decision Values for Dissimilar Goods in Human Ventromedial Prefrontal Cortex (2009, positive): “In this study, we tested the hypothesis that an area of ventromedial prefrontal cortex (vmPFC) plays such a role (Montague and Berns, 2002; Rangel et al., 2008).”
- Ventral tegmental area neurons in learned appetitive behavior and positive reinforcement. (2007, positive): “This firing pattern meets the formal requirements of the temporal difference model developed for machine learning (Montague & Berns 2002, Montague et al. 2004a, Schultz 2002) and is consistent with a role for these neurons in signaling positive reinforcement.”
- Neural predictors of purchases. (2007, positive): “With respect to neuroscience, by implicating common circuits (i.e., NAcc, MPFC, and insula) in decisions to purchase diverse products, the findings are consistent with a ‘‘common currency’’ account of purchasing (Knutson et al., 2005; Montague and Berns, 2002; Shizgal, 1997).”