An ERP index of real-time error correction within a noisy-channel framework of human communication
An ERP index of real-time error correction within a noisy-channel framework of human communication
复制标题
人类通信噪声通道框架内实时纠错的 ERP 指数
作者：
Rachel Ryskin;Laura Stearns;Leon Bergen;Marianna D. Eddy;Evelina Fedorenko;E. Gibson
最近的证据表明，语言处理很好地适应了输入中的噪声（例如，语音错误、误听），并通过对可能的预期句子和可能的噪声破坏的合理推断来容易地校正输入。然而，目前尚不清楚这种推断是采用离线重新分析的形式，还是对输入表示进行快速实时校正。我们假设，噪声推理过程中发生在线和研究ERP组件可能作为一个有用的指标，这个过程。特别是，减少N400效应和增加P600效应似乎伴随着消息被噪声破坏的概率超过了它被故意产生和准确感知的概率的句子。事实上，语义违规，可归因于噪音-例如，在“说书人可以把任何事件变成一个有趣的解毒剂”，其中令人难以置信的单词“解毒剂”是拼写和语音接近预期的“轶事”-引起减少N400效应和较大的P600效应。此外，这种P600效应的大小被证明与理解者将检索到一个看似合理的替代方案的概率有关。这项工作因此增加了越来越多的文献，表明语言处理的许多方面都很好地适应了输入中的噪声，并为这些过程的电生理研究打开了大门
Recent evidence suggests that language processing is well-adapted to noise in the input (e.g., speech errors, mishearing) and readily corrects the input via rational inference over possible intended sentences and probable noise corruptions. However, it remains unclear whether this inference takes the form of an offline re-analysis or a rapid, real-time correction to the representations of the input. We hypothesize that noise inferences happen online during processing and that well-studied ERP components may serve as a useful index of this process. In particular, a reduced N400 effect and increased P600 effect appear to accompany sentences where the probability that the message was corrupted by noise exceeds the probability that it was produced intentionally and perceived accurately. Indeed, semantic violations that are attributable to noise—for example, in “The storyteller could turn any incident into an amusing antidote”, where the implausible word “antidote” is orthographically and phonologically close to the intended “anecdote”—elicit a reduced N400 effect and larger P600 effect. Further, the magnitude of this P600 effect is shown to relate to the probability that the comprehender will retrieve a plausible alternative. This work thus adds to the growing body of literature that suggests that many aspects of language processing are well-adapted to noise in the input and opens the door to electrophysiologic investigations of these processes
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影响因子：
24.8
作者：
Kutas M;Federmeier KD
通讯作者：
Federmeier KD
影响因子：
4.3
作者：
Laszlo, Sarah;Federmeier, Kara D.
通讯作者：
Federmeier, Kara D.
影响因子：
2.5
作者：
Brouwer H;Crocker MW;Venhuizen NJ;Hoeks JCJ
通讯作者：
Hoeks JCJ
影响因子：
5.8
作者：
Carpenter, Bob;Gelman, Andrew;Riddell, Allen
通讯作者：
Riddell, Allen
影响因子：
4.3
作者：
Ito, Aine;Corley, Martin;Nieuwland, Mante S.
通讯作者：
Nieuwland, Mante S.