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How Predictable are Spontaneous Decisions and Hidden Intentions? Comparing Classification Results Based on Previous Responses with Multivariate Pattern Analysis of fMRI BOLD Signals

机译:自发决定和隐藏意图的可预测性如何?基于先前反应的分类结果与fMRI BOLD信号的多元模式分析进行比较

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摘要

In two replication studies we examined response bias and dependencies in voluntary decisions. We trained a linear classifier to predict “spontaneous decisions” and in the second study “hidden intentions” from responses in preceding trials and achieved comparable prediction accuracies as reported for multivariate pattern classification based on voxel activities in frontopolar cortex. We discuss implications of our findings and suggest ways to improve classification analyses of fMRI BOLD signals that may help to reduce effects of response dependencies between trials.
机译:在两次重复研究中,我们研究了反应偏倚和自愿决策中的依赖性。我们训练了线性分类器来预测“自发决定”,并在第二项研究中训练了先前试验中的“隐藏意图”,并获得了可预测的准确性,如基于前极皮层体素活动的多模式分类所报道的那样。我们讨论了我们发现的意义,并提出了改进fMRI BOLD信号分类分析的方法,这些方法可能有助于减少试验之间反应依赖性的影响。

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