Lapses in perceptual decisions reflect exploration.

Lapses in perceptual decisions reflect exploration.
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DOI:
10.7554/elife.55490
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发表时间:
2021-01-11
期刊:
影响因子:
7.7
通讯作者:
Churchland AK
Churchland AK
中科院分区:
生物学1区
文献类型:
--
作者:
Pisupati S;Chartarifsky-Lynn L;Khanal A;Churchland AK

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感性决策者常常表现出与证据强度无关的恒定错误率。这些“失误”被视为因与决策无关的噪音而产生的滋扰,例如注意力不集中或运动错误。在这里,我们使用大鼠的多感官决策任务来证明这些解释不能解释失误的刺激依赖性。我们提出了一种新颖的解释:失误反映了利用已知奖励行为和探索不确定行为之间的战略权衡。我们通过有选择地操纵一个动作的奖励幅度或概率来测试该模型的预测。正如该模型独特预测的那样,更改仅限于与该操作相关的失误。最后,我们证明,失误是一种强大的工具,可以根据破坏实验(此处为后纹状体和次级运动皮层)将与决策相关的计算分配给神经结构。这些结果表明,失误反映了决策的一个组成部分,并且可以提供有关正常和紊乱的大脑状态下的行动价值的信息。
Perceptual decision-makers often display a constant rate of errors independent of evidence strength. These ‘lapses’ are treated as a nuisance arising from noise tangential to the decision, e.g. inattention or motor errors. Here, we use a multisensory decision task in rats to demonstrate that these explanations cannot account for lapses’ stimulus dependence. We propose a novel explanation: lapses reflect a strategic trade-off between exploiting known rewarding actions and exploring uncertain ones. We tested this model’s predictions by selectively manipulating one action’s reward magnitude or probability. As uniquely predicted by this model, changes were restricted to lapses associated with that action. Finally, we show that lapses are a powerful tool for assigning decision-related computations to neural structures based on disruption experiments (here, posterior striatum and secondary motor cortex). These results suggest that lapses reflect an integral component of decision-making and are informative about action values in normal and disrupted brain states.