×

WE HAVE UPDATED OUR PRIVACY POLICY. For further information, see https://www.nyas.org/about/privacy-policy.

Annals

Reward and Decision Making in Corticobasal Ganglia Networks

Edited by Edited by Bernard W. Balleine (University of California, Los Angeles, California), Kenji Doya (Okinawa Institute of Science and Technology, Japan), and John O'Doherty (California Institute of Technology, Pasadena, California)
Explore the Table of Contents
Reward and Decision Making in Corticobasal Ganglia Networks

Published: July 2007

Volume 1104

Learn More

The neural bases of decision-making processes are currently generating considerable experimental and theoretical interest. Several recent developments in neuroscience, psychology, and economics have helped to focus thinking on this issue: the computational description of cortico-striatal networks in terms of reinforcement learning models, recognition that midbrain dopaminergic activity could reflect an error correction learning signal, improvements in imaging technology, the recognition that multiple controllers of actions and of values contribute to the development of adaptive behavior, and the recognition that theories of value derived from economics can provide a principled means of incorporating intangible factors such as risk, uncertainty, and temporal discounting into computational models of neural system.
This site uses cookies.
Learn more.

×

This website uses cookies. Some of the cookies we use are essential for parts of the website to operate while others offer you a better browsing experience. You give us your permission to use cookies, by continuing to use our website after you have received the cookie notification. To find out more about cookies on this website and how to change your cookie settings, see our Privacy policy and Terms of Use.