Cortical tracking of constituent structure in language acquisition

Linguistic units are organized at multiple levels: words combine to form phrases, which combine to form sentences. Ding, Melloni, Zhang, Tian, and Poeppel (2016) discovered that the brain tracks units at each level of hierarchical structure simultaneously. Such tracking requires knowledge of how words and phrases are structurally related. Here we asked how neural tracking emerges as knowledge of phrase structure is acquired. We recorded electrophysiological (MEG) data while adults listened to a miniature language with distributional cues to phrase structure or to a control language which lacked the crucial distributional cues. Neural tracking of phrases developed rapidly, only in the condition in which participants formed mental representations of phrase structure as measured behaviorally. These results illuminate the mechanisms through which abstract mental representations are acquired and processed by the brain.

[1]  E. Newport,et al.  Statistical Learning of Syntax: The Role of Transitional Probability , 2007 .

[2]  David Poeppel,et al.  Rule-based and word-level statistics-based processing of language: insights from neuroscience , 2017, Language, cognition and neuroscience.

[3]  Jonathan Z. Simon,et al.  Denoising based on spatial filtering , 2008, Journal of Neuroscience Methods.

[4]  Wen Zhang,et al.  Time-domain analysis of neural tracking of hierarchical linguistic structures , 2017, NeuroImage.

[5]  Lidiya Tornyova,et al.  Bigrams and the Richness of the Stimulus , 2008, Cogn. Sci..

[6]  Richard N Aslin,et al.  Distributional Language Learning: Mechanisms and Models of ategory Formation. , 2014, Language learning.

[7]  M. Buiatti,et al.  Electrophysiological evidence of statistical learning of long-distance dependencies in 8-month-old preterm and full-term infants , 2015, Brain and Language.

[8]  Jonathan Z. Simon,et al.  Abstract Journal of Neuroscience Methods 165 (2007) 297–305 Denoising based on time-shift PCA , 2007 .

[9]  R N Aslin,et al.  Statistical Learning by 8-Month-Old Infants , 1996, Science.

[10]  E. Newport,et al.  Science Current Directions in Psychological Statistical Learning : from Acquiring Specific Items to Forming General Rules on Behalf Of: Association for Psychological Science , 2022 .

[11]  D. Poeppel,et al.  Cortical Tracking of Hierarchical Linguistic Structures in Connected Speech , 2015, Nature Neuroscience.

[12]  Ken A. Paller,et al.  Online neural monitoring of statistical learning , 2017, Cortex.

[13]  Marco Buiatti,et al.  Investigating the neural correlates of continuous speech computation with frequency-tagged neuroelectric responses , 2009, NeuroImage.