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Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics

Glimcher, Paul W. - Personal Name;

"A Bradford book."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.OCLC-licensed vendor bibliographic record.


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Detail Information
Series Title
-
Call Number
-
Publisher
Cambridge, Mass. : : MIT Press Direct., 2003
Collation
1 online resource (xx, 375 pages) :illustrations
Language
English
ISBN/ISSN
9780262273930
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Brain
Cognitive neuroscience.
Microeconomics.
Reflexes.
Dualism.
Specific Detail Info
-
Statement of Responsibility
Paul W. Glimcher.
Other Information
Cataloger
imron
Source
-
Validator
-
Digital Object Identifier (DOI)
https://doi.org/10.7551/mitpress/2302.001.0001
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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No other version available

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  • Decisions, Uncertainty, and the Brain: The Science of Neuroeconomics
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