School of Psychology, University of Hertfordshire, UK.
Philos Trans R Soc Lond B Biol Sci. 2009 Dec 27;364(1536):3737-53. doi: 10.1098/rstb.2009.0173.
We briefly review the considerable evidence for a common ordering mechanism underlying both immediate serial recall (ISR) tasks (e.g. digit span, non-word repetition) and the learning of phonological word forms. In addition, we discuss how recent work on the Hebb repetition effect is consistent with the idea that learning in this task is itself a laboratory analogue of the sequence-learning component of phonological word-form learning. In this light, we present a unifying modelling framework that seeks to account for ISR and Hebb repetition effects, while being extensible to word-form learning. Because word-form learning is performed in the service of later word recognition, our modelling framework also subsumes a mechanism for word recognition from continuous speech. Simulations of a computational implementation of the modelling framework are presented and are shown to be in accordance with data from the Hebb repetition paradigm.
我们简要回顾了支持即时序列回忆(ISR)任务(例如数字跨度、非单词重复)和语音单词形式学习的共同排序机制的大量证据。此外,我们还讨论了最近关于赫布重复效应的工作如何与这样一种观点一致,即该任务中的学习本身是语音单词形式学习的序列学习成分的实验室模拟。有鉴于此,我们提出了一个统一的建模框架,旨在解释 ISR 和赫布重复效应,同时可以扩展到单词形式学习。由于单词形式的学习是为了以后的单词识别服务,我们的建模框架还包含了一种从连续语音中识别单词的机制。我们提出了该建模框架的计算实现的模拟,并表明它们与赫布重复范式的数据一致。