From biophysics to cognition: reward-dependent adaptive choice behavior

Alireza Soltani, Xiao-Jing Wang

Research output: Contribution to journalArticle

Abstract

In neurobiological studies of various cognitive abilities, neuroscientists use mathematical models to fit behavioral data from well-controlled experiments and look for neural activities that are correlated with parameters in those models. The pinpointed neural correlates are often taken as evidence that a given task is performed according to the prescription of the applied model, and the relevant brain areas encode parameters of such a model. However, to go beyond correlations toward causal understanding, it is necessary to elucidate at multiple levels the neural circuit mechanisms of cognitive processes. This review focuses on recent studies of reward-based decision-making that have begun to tackle this challenge.

Original languageEnglish (US)
Pages (from-to)209-216
Number of pages8
JournalCurrent Opinion in Neurobiology
Volume18
Issue number2
DOIs
StatePublished - Apr 2008

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Choice Behavior
Biophysics
Aptitude
Psychological Adaptation
Reward
Cognition
Prescriptions
Decision Making
Theoretical Models
Brain

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

From biophysics to cognition : reward-dependent adaptive choice behavior. / Soltani, Alireza; Wang, Xiao-Jing.

In: Current Opinion in Neurobiology, Vol. 18, No. 2, 04.2008, p. 209-216.

Research output: Contribution to journalArticle

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