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Neuroeconomics: Hype or Hope? An Answer
In June of 2010, a special issue in the Journal of Economic Methodology was introduced with the question: “Neuroeconomics: Hype or Hope?” (Marchionni and Vromen, 2010). More than ten years later, it is time to provide an answer.
Alexandre Truc
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Continuous Neurophysiologic Data Accurately Predict Mood and Energy in the Elderly
The elderly have an elevated risk of clinical depression because of isolation from family and friends and a reticence to report their emotional states. The present study explored whether data from a commercial neuroscience platform could predict low mood
Sean H. Merritt +3 more
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Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can interest agent-based economists when they are inquiring for the foundation or the principle of the software-agent design, normally known as agent engineering.
Michael Platt +4 more
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Frontopolar theta oscillations link metacognition with prospective decision making
Metacognitive insight into economic preferences has been suggested to enable the consideration of long-term action-consequences. Here, the authors provide a neural link between these phenomena by showing that enhancing frontopolar theta oscillations ...
Alexander Soutschek +3 more
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The somatic marker hypothesis (SMH) has been utilized to demonstrate the role of emotion and somatic state in decision-making under uncertainty over the past two decades.
Fuming Xu +3 more
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Neural mechanisms of credit card spending
Credit cards have often been blamed for consumer overspending and for the growth in household debt. Indeed, laboratory studies of purchase behavior have shown that credit cards can facilitate spending in ways that are difficult to justify on purely ...
Sachin Banker +3 more
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Pupil dilation predicts individual self-regulation success across domains
Multiple theories have proposed that increasing central arousal through the brain’s locus coeruleus—norepinephrine system may facilitate cognitive control and memory.
Silvia U. Maier, Marcus Grueschow
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DeePay: deep learning decodes EEG to predict consumer’s willingness to pay for neuromarketing
There is an increasing demand within consumer-neuroscience (or neuromarketing) for objective neural measures to quantify consumers’ subjective valuations and predict responses to marketing campaigns.
Adam Hakim +4 more
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From cognitive science to cognitive neuroscience to neuroeconomics [PDF]
As an emerging discipline, neuroeconomics faces considerable methodological and practical challenges. In this paper, I suggest that these challenges can be understood by exploring the similarities and dissimilarities between the emergence of ...
Quartz, Steven R.
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Accurately predicting hit songs using neurophysiology and machine learning
Identifying hit songs is notoriously difficult. Traditionally, song elements have been measured from large databases to identify the lyrical aspects of hits.
Sean H. Merritt +3 more
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