Reward and Decision Making in Corticobasal Ganglia Networks
Wiley, Jul 10, 2007 - Education - 379 pages
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.
The contributions to this volume are forward-looking assessments of the current and future issues likely to be faced by researchers in this area. Four current issues are specifically addressed:
- the degree to which distinct behavioral and psychological capacities map onto discrete neural systems;
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