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computationally expensive. Functional magnetic resonance imaging (fMRI) produces datasets with such characteristics creating … challenges for applying machine learning techniques to classify cognitive states based on fMRI data. In this study, we present an … approach, we apply our framework to three different real-world fMRI datasets. The results show that regularized classifiers …
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Recent developments of neuroimaging technology enable us to investigate the brain network implicated in economical decision making (Glimcher et al. 2004; Camerer 2008). One of the fascinating topic is ?ambiguity aversion? where people tend to avoid unknown options as demonstrated by Ellsberg...
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