Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics
By Paul Glimcher. 2003
540 citations recorded by the source corpus.
Subfields: General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/0f30c266ecd40fc4716b30845876d98ddb417b8a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Decision Sciences
- Nathaniel D. Daw
- Elke U. Weber
- Eric J. Johnson
- Jonathan D. Wallis
- Xiao-Jing Wang
- Ariel Rubinstein
- Simon S. Haykin
- Ann M. Graybiel
In Management Science and Operations Research
- Ariel Rubinstein
- Xiao-Jing Wang
- Simon S. Haykin
- Jonathan D. Wallis
- Ann M. Graybiel
- Nathaniel D. Daw
- Elke U. Weber
- Eric J. Johnson
Citations in the corpus
- RETHINKING THE EMOTIONAL BRAIN (2012, unknown): “It is therefore of great interest that recent work on the role of dopamine as a reward prediction error signal is beginning to recognize the importance of specific motivational states in modulating the effects of dopamine as a reward prediction error signal (Schultz, 2006; Glimcher, 2011).”
- Instinctive and Cognitive Reasoning: A Study of Response Times (2007, background): “…the advances in brain research, and especially the increased accessibility of machines using functional magnetic resonance imaging (fMRI), some researchers have started monitoring brain activity during decision making; for an introduction to the field see, for example, Glimcher(2003).”
- Orbitofrontal cortex and its contribution to decision-making. (2007, background): “Neuroeconomics refers to the nascent field that attempts to relate these models to patterns of neuronal firing (Glimcher 2003, Sanfey et al. 2006, Schultz 2004).”
- An opportunity cost model of subjective effort and task performance (2013, unknown): “That is, the design of these mechanisms can be understood in the context of evolutionary selection for systems that assigned weights in a way that maximized reproductive success (Glimcher 2003).”
- Neuroeconomics: Why Economics Needs Brains (2004, unknown): “Single-neuron measurement by Schultz and colleagues, as reported in Schultz and Dickinson (2000), and Glimcher (2002) in monkeys has isolated specific neurons which correspond remarkably closely to familiar economic ideas of utility and belief.”
- Perception, Action, and Utility: The Tangled Skein (2012, background): “More recently, neuroscientists have begun to probe the brain for signatures of these assumptions, in particular the neural computations of utilities and posterior probabilities (Glimcher, 2003).”
- Physiological utility theory and the neuroeconomics of choice (2005, background): “For example, monkeys can play mixed strategy equilibrium games with the same efficiency as humans (Dorris and Glimcher, 2003) and birds can systematically alter the shape of their utility functions to adopt risk preferences appropriate for their environments (Caraco et al., 1980).”
- The framing effect and risky decisions: Examining cognitive functions with fMRI (2005, background): “A better understanding of the physical mechanisms by which human decisions are made is of growing interest for both economists and neuroscientists (Glimcher, 2003).”
- SNIF-ACT: A Cognitive Model of User Navigation on the World Wide Web (2007, unknown): “Rational analysis is a variant form of an approach called methodological adaptationism that has also shaped research programs in behavioral ecology (e.g., Stephens & Krebs, 1986), anthropology (e.g., Winterhalder & Smith, 1992), and neuroscience (e.g., Glimcher, 2003).”
- Cognitive radio: brain-empowered wireless communications (2005, background): “Rather, it merely requires that the individual behavior of each animal be unpredictable with respect to its opponents [73], [74].”