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How does brain process favorable feedback with low possibility: An ERP research

机译:大脑如何以低可能性处理有利的反馈:一项ERP研究

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Humans often learn from outcome feedback to modify the knowledge of objects/things, even to optimize subsequent strategies. Some studies have documented that participants divided outcomes into two sides in reward task: favorite and unfavorable outcome. But in real life we estimate outcome related closely at least two dimensions: whether the result will benefit us, and how frequent the result will occur. In this pilot ERP investigation, we adopt an elaborate gamble task to divide favorability evaluation and possibility evaluation, and assume FN and P300 are indices for favorability and possibility respectively. Results show that FN were significantly more negative in the loss condition than in the gain condition, and P300 were significantly more positive in the gain/low-possibility condition than in the loss/high-possibility condition.
机译:人们经常从结果反馈中学习以修改对象/事物的知识,甚至优化后续策略。一些研究记录了参与者在奖励任务中将结果分为两个方面:喜好和不好的结果。但是在现实生活中,我们估计结果至少与以下两个方面密切相关:结果是否会对我们有利,以及结果发生的频率。在此ERP试点调查中,我们采用精心设计的赌博任务将好感度评估和可能性评估分开,并假设FN和P300分别是好感度和可能性的指标。结果表明,在损失条件下,FN在负条件下比在增益条件下明显更负,而P300在增益/低可能性条件下比在损失/高可能性条件下更正。

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