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Neuroforecasting Aggregate Choice

机译:神经成型骨料聚合选择

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摘要

Advances in brain-imaging design and analysis have allowed investigators to use neural activity to predict individual choice, while emerging Internet markets have opened up new opportunities for forecasting aggregate choice. Here, we review emerging research that bridges these levels of analysis by attempting to use group neural activity to forecast aggregate choice. A survey of initial findings suggests that components of group neural activity might forecast aggregate choice, in some cases even beyond traditional behavioral measures. In addition to demonstrating the plausibility of neuroforecasting, these findings raise the possibility that not all neural processes that predict individual choice forecast aggregate choice to the same degree. We propose that although integrative choice components may confer more consistency within individuals, affective choice components may generalize more broadly across individuals to forecast aggregate choice.
机译:脑成像设计和分析的进步使调查人员使用神经活动来预测各个选择,而新兴互联网市场已经开辟了预测总体选择的新机会。 在这里,我们审查了新兴的研究,通过试图使用组神经活动来预测总体选择来弥补这些分析水平。 对初始研究结果的调查表明,在某些情况下,群体神经活动的组分可能会在某些情况下预测总体选择,即使超出了传统的行为措施。 除了展示神经成型的合理性外,这些发现还提出了并非所有神经过程的可能性,这些过程预测各个选择预测的聚合选择在相同程度。 我们提出,尽管综合选择组件可以在个人内赋予更高的一致性,但是情感选择组件可以更广泛地拓展以预测总体选择。

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