Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments.

ABSTRACT: Probabilistic models of decision making under various forms of uncertainty have been applied in recent years to numerous behavioral and model-based fMRI studies. These studies were highly successful in enabling a better understanding of behavior and delineating the functional properties of brain areas involved in decision making under uncertainty. However, as different studies considered different models of decision making under uncertainty, it is unclear which of these computational models provides the best account of the observed behavioral and neuroimaging data. This is an important issue, as not performing model comparison may tempt researchers to over-interpret results based on a single model. Here we describe how in practice one can compare different behavioral models and test the ac

SUBMITTER: Markovic D 

PROVIDER: S-EPMC4837154 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature