Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice

被引：131

作者：

Bogacz, Rafal ^{[1
]}

Usher, Marius

Zhang, Jiaxiang

McClelland, James L.

机构：

[1] Univ Bristol, Dept Comp Sci, Bristol BS8 1UB, Avon, England

[2] Univ London Birkbeck Coll, Dept Psychol, London WC1E 7HX, England

[3] Carnegie Mellon Univ, Ctr Neural Bases Cognit, Pittsburgh, PA 15213 USA

来源：

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES | 2007年 / 362卷 / 1485期

基金：

英国工程与自然科学研究理事会;

关键词：

decision making; perceptual choice; nonlinear; optimality; utility; preference reversal;

D O I：

10.1098/rstb.2007.2059

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The leaky competing accumulator ( LCA) is a biologically inspired model of choice. It describes the processes of leaky accumulation and competition observed in neuronal populations during choice tasks and it accounts for reaction time distributions observed in psychophysical experiments. This paper discusses recent analyses and extensions of the LCA model. First, it reviews the dynamics and examines the conditions that make the model achieve optimal performance. Second, it shows that nonlinearities of the type present in biological neurons improve performance when the number of choice alternatives increases. Third, the model is extended to value- based choice, where it is shown that nonlinearities in the value function explain risk aversion in risky choice and preference reversals in choice between alternatives characterized across multiple dimensions.

引用

页码：1655 / 1670

页数：16

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