Does signal reduction imply predictive coding in models of spoken word recognition?

Does signal reduction imply predictive coding in models of spoken word recognition?
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DOI:
10.3758/s13423-021-01924-x
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发表时间:
2021-08
影响因子:
3.5
通讯作者:
Magnuson JS
Magnuson JS
中科院分区:
心理学2区
文献类型:
--
作者:
Luthra S;Li MYC;You H;Brodbeck C;Magnuson JS

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预测处理的普遍行为和神经证据导致了语言处理依赖于预测编码的说法。从形式上讲,预测编码是一种计算机制,其中只在表示级别之间传递与自上而下期望的偏差。在许多认知神经科学研究中,预期输入信号的减少被认为是预测性编码的诊断。在本研究中,我们发现,尽管没有明确地实施预测,但语音感知的痕迹模型显示出预测编码的这一假定特征,当输入符合预期时,总词汇激活、总词汇反馈和总音素激活减少。这些发现可能表明交互激活在功能上等同于或接近于预测编码,或者在将神经信号减少解释为预测编码的诊断时值得谨慎。网上版载有补充材料,可在10.3758/s13423-021-01924-x查阅。
Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many cognitive neuroscience studies, a reduction of signal for expected inputs is taken as being diagnostic of predictive coding. In the present work, we show that despite not explicitly implementing prediction, the TRACE model of speech perception exhibits this putative hallmark of predictive coding, with reductions in total lexical activation, total lexical feedback, and total phoneme activation when the input conforms to expectations. These findings may indicate that interactive activation is functionally equivalent or approximant to predictive coding or that caution is warranted in interpreting neural signal reduction as diagnostic of predictive coding. The online version contains supplementary material available at 10.3758/s13423-021-01924-x.
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发表时间: 2009-12-27
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