In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the most difficult problems that any environment could present, eliminating the need for dualism by eliminating the need for a reflex theory. Such a mathematically rigorous description of the neural processes that connect sensation and action, he explains, will have its roots in microeconomic theory. Economic theory allows physiologists to define both the optimal course of action that an animal might select and a mathematical route by which that optimal solution can be derived. Glimcher outlines what an economics-based cognitive model might look like and how one would begin to test it empirically. Along the way, he presents a fascinating history of neuroscience. He also discusses related questions about determinism, free will, and the stochastic nature of complex behavior.
Neuroeconomics has emerged at the border of the social and natural sciences. This book argues that a meaningful interdisciplinary synthesis of the study of human and animal choice is not only desirable, but also well underway, and so it is time to develop formally a foundational approach for the field.
This chapter presents a broad overview of the existing model of value-based decision making in the brain. It begins with a brief overview of the basic elements of the standard model by compartmentalizing, for didactic purposes, the brain networks involved in learning and storing value (the value system) and the brain networks involved in selection of an option from a limited set (the choice system). This brief overview is followed by a more detailed explication of each of these two systems. The relationship between frontal valuation circuits and fronto-parietal choice circuits is also discussed. The chapter concludes with a discussion of an emerging alternative to the standard model before showing how perceptual decision-making models like those described in can be integrated into the standard model of value-based decision making.
Much of neuroeconomics rests on an understanding of basic microeconomic thought. This chapter presents a concise overview of the main threads in modern economic studies of decision making. Beginning with a review of the history of both pricing theory and choice theory, the chapter describes the Marginal Revolution. It then goes on to develop Samuelson’s fundamental Revealed Preference approach and the notion of axiomatic proof. Several of the most important theories that grew from Samuleson’s work, including Expected Utility Theory, are described. The chapter concludes with a discussion of how axiomatic modeling approaches can be used as powerful tools in neuroscientific/neuroeconomic research by describing axiomatic studies of dopamine function.
In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the most difficult problems that any environment could present, eliminating the need for dualism by eliminating the need for a reflex theory. Such a mathematically rigorous description of the neural processes that connect sensation and action, he explains, will have its roots in microeconomic theory. Economic theory allows physiologists to define both the optimal course of action that an animal might select and a mathematical route by which that optimal solution can be derived. Glimcher outlines what an economics-based cognitive model might look like and how one would begin to test it empirically. Along the way, he presents a fascinating history of neuroscience. He also discusses related questions about determinism, free will, and the stochastic nature of complex behavior.
A new academic field, neuroeconomics, has emerged at the border of the social and natural sciences. In Foundations of Neuroeconomic Analysis, Paul Glimcher argues that a meaningful interdisciplinary synthesis of the study of human and animal choice is not only desirable, but also well underway, and so it is time to formally develop a foundational approach for the field. He does so by laying the philosophical and empirical groundwork and integrating the theory of choice and valuation with the relevant physical constraints and mechanisms. While there has been an intense debate about the value and prospects of neuroeconomics, Glimcher argues that existing data from neuroeconomics' three parent fields, neuroscience, psychology and economics, already specify the basic features of the primate choice mechanism at all three levels of analysis. His central argument is that combining these three disciplines gives us enough insight to define many of the fundamental features of decision making that have previously eluded scholars working within each individual field. With this in mind, Glimcher provides a comprehensive overview of the neuroscience, psychology, and economics of choice behavior, which will help readers from many disciplines to grasp the rich interconnections between these fields and see how their data and theory can interact to produce new insights, constraints, and questions. The book is divided into four main sections that address key barriers to interdisciplinary cohesion. The first section defines the central philosophical issues that neuroeconomics must engage. The theory of knowledge already tells us much about how different disciplines interact, and in this section, Glimcher reviews those constraints and lays a philosophical foundation for future neuroeconomic discourse. This section concludes with both a defense of neoclassical economics and a spirited attack on Milton Friedman's insistence that economics must not be constrained by the study of mechanism. Glimcher argues instead for the development of "hard-economic theories", which postulate that choosers behave the way they do because of the underlying representations that occur in their brains. The second section describes what is known about the primate choice mechanism-the physical structures in our brains that actively select among the options available to the chooser. By reviewing and integrating economic theory of choice, neurobiological studies of the frontal and parietal cortices, and psychological models of selection, Glimcher creates an interdisciplinary structure for understanding how we choose. This interdisciplinary synthesis leads to several novel insights into the causes of human irrational behavior and recasts many of these so-called irrationalities as neurobiological optimizations in the face of physical constraints. The third section describes the neural circuits for valuation-the physical mechanisms by which we learn, store, and represent the values of the many options from which we choose. In this section, Glimcher combines studies from computer science and neuroscience with representational frameworks from economics to provide novel assessments of both the strengths and weaknesses of modern economic theory. The section ends with a discussion of behavioral neuroeconomics and the ultimate limits of the neoclassical economic program. The book concludes with a description of a new model for human choice behavior that harvests constraints from each of neuroeconomics' parent disciplines and encapsulates the key insights from current research, as well as a review of the major accomplishments and opportunities that await the new field of neuroeconomics.
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