Neurocognitive basis of implicit learning of sequential structure and its relation to language processing.

Neurocognitive basis of implicit learning of sequential structure and its relation to language processing.
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DOI:
10.1196/annals.1416.009
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发表时间:
2008-12
影响因子:
5.2
通讯作者:
Pisoni DB
Pisoni DB
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Conway CM;Pisoni DB

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学习和利用环境知识的能力对技能学习的许多方面都很重要,语言就是一个很好的例子。许多这样的学习是以一种隐含的方式进行的,也就是说,它是无意和自动发生的,结果是很难用语言明确表达的知识。一个重要的研究目标是确定潜在的神经认知机制的内隐学习能力,并了解其贡献的知觉,语言和认知更普遍。在本文中,我们回顾了最近的工作,调查在何种程度上,序列结构的内隐学习是由刺激特异性与域一般的学习机制介导的。虽然许多以前的内隐学习的研究都强调其领域的一般方面,在这里,我们强调行为的工作,提出了一个特定的模式轨迹。即便如此,我们的数据也揭示了内隐序列学习技能的个体差异与需要对口语的序列上下文敏感的任务的表现相关,这表明内隐序列学习在某种程度上是领域通用的。考虑到这种行为的工作,结合最近的成像研究,我们认为,内隐序列学习和语言处理都是复杂的,动态的过程,部分共享相同的潜在的神经认知机制,特别是那些依赖于编码和表征的语音序列。
The ability to learn and exploit environmental regularities is important for many aspects of skill learning of which language may be a prime example. Much of such learning proceeds in an implicit fashion, that is, it occurs unintentionally and automatically and results in knowledge that is difficult to verbalize explicitly. An important research goal is to ascertain the underlying neurocognitive mechanisms of implicit learning abilities and understand its contribution to perception, language, and cognition more generally. In this paper, we review recent work that investigates the extent to which implicit learning of sequential structure is mediated by stimulus-specific versus domain-general learning mechanisms. Although much of previous implicit learning research has emphasized its domain-general aspect, here we highlight behavioral work suggesting a modality-specific locus. Even so, our data also reveals that individual variability in implicit sequence learning skill correlates with performance on a task requiring sensitivity to the sequential context of spoken language, suggesting that implicit sequence learning to some extent is domain-general. Taking into consideration this behavioral work, in conjunction with recent imaging studies, we argue that implicit sequence learning and language processing are both complex, dynamic processes that partially share the same underlying neurocognitive mechanisms, specifically those that rely on the encoding and representation of phonological sequences.
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