Rational regulation of learning dynamics by pupil-linked arousal systems.

Rational regulation of learning dynamics by pupil-linked arousal systems.
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DOI:
10.1038/nn.3130
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发表时间:
2012-06-03
影响因子:
25
通讯作者:
Gold, Joshua I.
Gold, Joshua I.
中科院分区:
医学1区
文献类型:
--
作者:
Nassar, Matthew R.;Rumsey, Katherine M.;Wilson, Robert C.;Parikh, Kinjan;Heasly, Benjamin;Gold, Joshua I.

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对动态过程的当前状态作出推断的能力需要对该过程产生的数据的稳定性和可靠性进行持续评估。我们发现,根据标准模型的定义,这些评估反映在执行预测推理任务的受试者的瞳孔直径的非亮度调节变化中。瞳孔直径的短暂变化反映了在产生噪声数据的过程中评估的不稳定性。基线瞳孔直径反映了最新数据显示数据生成过程的当前状态的可靠性,以及个体对不稳定性比率的预期差异。这些瞳孔指标一起预测了新数据对后续推论的影响。此外,与任务和亮度无关的对瞳孔直径的操纵可以预见地改变了新数据的影响。因此,与瞳孔相关的唤醒系统可以帮助调节动态环境中输入数据对现有信念的影响。
The ability to make inferences about the current state of a dynamic process requires ongoing assessments of the stability and reliability of data generated by that process. We found that these assessments, as defined by a normative model, were reflected in non–luminance–mediated changes in pupil diameter of human subjects performing a predictive–inference task. Brief changes in pupil diameter reflected assessed instabilities in a process that generated noisy data. Baseline pupil diameter reflected the reliability with which recent data indicated the current state of the data–generating process and individual differences in expectations about the rate of instabilities. Together these pupil metrics predicted the influence of new data on subsequent inferences. Moreover, a task– and luminance–independent manipulation of pupil diameter predictably altered the influence of new data. Thus, pupil–linked arousal systems can help regulate the influence of incoming data on existing beliefs in a dynamic environment.
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