BCBL. Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Spain.
Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands.
Sci Rep. 2017 Feb 7;7:42055. doi: 10.1038/srep42055.
Perceiving linguistic input is vital for human functioning, but the process is complicated by the fact that the incoming signal is often degraded. However, humans can compensate for unimodal noise by relying on simultaneous sensory input from another modality. Here, we investigated noise-compensation for spoken and printed words in two experiments. In the first behavioral experiment, we observed that accuracy was modulated by reaction time, bias and sensitivity, but noise compensation could nevertheless be explained via accuracy differences when controlling for RT, bias and sensitivity. In the second experiment, we also measured Event Related Potentials (ERPs) and observed robust electrophysiological correlates of noise compensation starting at around 350 ms after stimulus onset, indicating that noise compensation is most prominent at lexical/semantic processing levels.
感知语言输入对人类的正常运作至关重要，但由于输入信号经常会被削弱，这个过程变得复杂起来。然而，人类可以通过同时依赖另一种感觉模式的输入来弥补单模态噪声。在这里，我们在两个实验中研究了口语和书面语单词的噪声补偿。在第一个行为实验中，我们观察到准确性受到反应时间、偏差和敏感性的调节，但通过控制 RT、偏差和敏感性来解释准确性差异时，噪声补偿仍然可以得到解释。在第二个实验中，我们还测量了事件相关电位（ERPs），并在刺激开始后大约 350 毫秒时观察到了强大的与噪声补偿相关的电生理相关性，这表明噪声补偿在词汇/语义处理水平上最为明显。
