期刊
BEHAVIOURAL BRAIN RESEARCH
卷 321, 期 -, 页码 28-35出版社
ELSEVIER
DOI: 10.1016/j.bbr.2016.12.033
关键词
Computational models; Decision making; EEG; Iowa gambling task
资金
- Wales Institute of Cognitive Neuroscience
Complex human cognition, such as decision-making under ambiguity, is reflected in dynamic spatio-temporal activity in the brain. Here, we combined event-related potentials with computational modelling of the time course of decision-making and outcome evaluation during the Iowa Gambling Task. Measures of choice probability generated using the Prospect Valence Learning Delta (PVL-Delta) model, in addition to objective trial outcomes (outcome magnitude and valence), were applied as regressors in a general linear model of the EEG signal. The resulting three-dimensional spatio-temporal characterization of task related neural dynamics demonstrated that outcome valence, outcome magnitude, and PVL-Delta choice probability were expressed in distinctly separate event related potentials. Our findings showed that the P3 component was associated with an experience-based measure of outcome expectancy. (C) 2016 Elsevier B.V. All rights reserved.
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