Mapping and understanding of correlated electroencephalogram (EEG) responses to the newsvendor problem.

ABSTRACT: Decision-making is one of the most critical activities of human beings. To better understand the underlying neurocognitive mechanism while making decisions under an economic context, we designed a decision-making paradigm based on the newsvendor problem (NP) with two scenarios: low-profit margins as the more challenging scenario and high-profit margins as the less difficult one. The EEG signals were acquired from healthy humans while subjects were performing the task. We adopted the Correlated Component Analysis (CorrCA) method to identify linear combinations of EEG channels that maximize the correlation across subjects ([Formula: see text]) or trials ([Formula: see text]). The inter-subject or inter-trial correlation values (ISC or ITC) of the first three components were estimated to inve

SUBMITTER: Truong NCD 

PROVIDER: S-EPMC9376113 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature