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Updated: Dec 18, 2025

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
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Top-down grouping affects adjacent dependency learning.

Felix Hao Wang1, Jason D Zevin2,3, John C Trueswell4

  • 1Department of Psychology, University of Nevada, Las Vegas, Las Vegas, NV, 89154, USA. hao.wang@unlv.edu.

Psychonomic Bulletin & Review
|June 17, 2020
PubMed
Summary
This summary is machine-generated.

Top-down grouping cues significantly impact statistical learning by influencing how humans process sequential information. Induced boundaries help learn adjacent dependencies within subsequences, but hinder learning across boundaries.

Keywords:
Dependency learningRhythmStatistical learning

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Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Computational Neuroscience

Background:

  • Humans naturally learn sequential information using adjacent co-occurrence statistics.
  • Bottom-up prosodic cues are known to influence this statistical learning process.

Purpose of the Study:

  • To investigate the influence of top-down grouping cues on statistical learning.
  • To determine how induced grouping expectations affect the learning of sequential dependencies.

Main Methods:

  • Presentation of structurally equivalent English sentences to induce top-down grouping expectations.
  • Exposure to artificial language sequences immediately following the English sentences.
  • Analysis of the learnability of adjacent dependencies based on induced boundary conditions.

Main Results:

  • Adjacent dependencies were learnable when bracketed within induced sub-sequences.
  • Learning of adjacent dependencies failed when elements crossed induced boundaries.
  • The absence of bottom-up sensory cues at induced boundaries did not prevent their effect.

Conclusions:

  • Top-down grouping information directs statistical learning to bracketed sub-sequences.
  • This mechanism limits computational load by constraining the domain of statistical learning.
  • Induced boundaries play a crucial role in segmenting and organizing sequential information for learning.