Error-related negativity predicts reinforcement learning and conflict biases
Error-related negativity predicts reinforcement learning and conflict biases
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DOI：
10.1016/j.neuron.2005.06.020
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发表时间：
2005-08-18
期刊：
影响因子：
16.2
通讯作者：
Curran, T
中科院分区：
文献类型：
--
作者：
Frank, MJ;Woroch, BS;Curran, T
错误相关负波(ERN)是一种电生理标记，被认为反映了参与者在认知任务中犯错误时多巴胺的变化。我们的计算模型进一步预测，较大的ERN应该与更好的学习相关，以避免适应不良反应。在这里，我们表明，避免负面事件的参与者比那些偏向于从积极结果中学到更多东西的参与者有更大的ERN。我们还测试了反应冲突对ERN大小的影响。虽然没有冲突的总体影响，但积极的学习者在两个好的选择(赢/赢的决定)中做出选择时，与两个坏的选择(输/输的决定)相比，积极的学习者有更大的ERN，而消极的学习者表现出相反的模式。这些结果表明，ERN预测了参与者在多大程度上倾向于从他们的错误中学到比正确选择更多的东西，并澄清了它索引决策冲突的程度。
The error-related negativity (ERN) is an electrophysiological marker thought to reflect changes in dopamine when participants make errors in cognitive tasks. Our computational model further predicts that larger ERNs should be associated with better learning to avoid maladaptive responses. Here we show that participants who avoided negative events had larger ERNs than those who were biased to learn more from positive outcomes. We also tested for effects of response conflict on ERN magnitude. While there was no overall effect of conflict, positive learners had larger ERNs when having to choose among two good options (win/win decisions) compared with two bad options (lose/lose decisions), whereas negative learners exhibited the opposite pattern. These results demonstrate that the ERN predicts the degree to which participants are biased to learn more from their mistakes than their correct choices and clarify the extent to which it indexes decision conflict.