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Acoustic Masking Disrupts Time-Dependent Mechanisms of Memory Encoding in Word-List Recall

机译:声音掩蔽破坏单词列表调用中记忆编​​码的时间相关机制

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摘要

Recall of recently heard words is affected by the clarity of presentation: even if all words are presented with sufficient clarity for successful recognition, those that are more difficult to hear are less likely to be recalled. Such a result demonstrates that memory processing depends on more than whether a word is simply “recognized” versus “not-recognized”. More surprising is that when a single item in a list of spoken words is acoustically masked, prior words that were heard with full clarity are also less likely to be recalled. To account for such a phenomenon, we developed the Linking by Active Maintenance Model (LAMM). This computational model of perception and encoding predicts that these effects are time dependent. Here we challenge our model by investigating whether and how the impact of acoustic masking on memory depends on presentation rate. We find that a slower presentation rate causes a more disruptive impact of stimulus degradation on prior, clearly heard words than does a fast rate. These results are unexpected according to prior theories of effortful listening, but we demonstrate that they can be accounted for by LAMM.
机译:召回最近听到的单词会受到呈现方式的清晰度的影响:即使所有单词的呈现方式都足够清晰,可以成功识别,但较难听见的单词则不太可能被召回。这样的结果表明,记忆处理不仅仅取决于一个单词是简单的“识别”还是“不识别”。更令人惊讶的是,当口头语言列表中的单个项目被声音掩盖时,以完全清晰的方式听到的先前单词也不太可能被召回。为了解决这种现象,我们开发了按主动维护模型链接(LAMM)。这种感知和编码的计算模型预测这些效应是时间依赖性的。在这里,我们通过研究声学掩膜对内存的影响以及是否取决于呈现速率来挑战我们的模型。我们发现,较慢的提示速度,较慢的提示速度对刺激性下降的影响更大。根据先前的努力聆听理论,这些结果是出乎意料的,但我们证明LAMM可以解释这些结果。

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