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(Early) context effects on event-related potentials over natural inputs.

Shaorong Yan1, T Florian Jaeger2

  • 1Department of Brain and Cognitive Sciences, University of Rochester.

Language, Cognition and Neuroscience
|July 4, 2020
PubMed
Summary

Context influences language processing early and late. This study analyzed event-related potentials (ERPs) in natural sentences, revealing context impacts word recognition before the N400 window.

Keywords:
auto-correlationevent-related potentialsgeneralized additive mixture modelsmixed-effects regressiontime course analysis

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Area of Science:

  • Cognitive Neuroscience
  • Psycholinguistics
  • Computational Linguistics

Background:

  • Language comprehension relies on integrating new information with existing context.
  • Event-related potentials (ERPs) research has explored contextual effects but often used artificial stimuli.
  • Generalizability of findings to natural language processing remains a question.

Purpose of the Study:

  • To investigate if context affects ERPs during natural language processing before the N400 component.
  • To examine early contextual influences on word recognition in sentences from novels.
  • To support or refute a cascading, interactive model of lexical access.

Main Methods:

  • Re-analysis of ERP data from visually presented words in English novels.
  • Application of linear mixed effects regression for statistical power.
  • Development of a novel approach to model and discount auto-correlations in time series data.

Main Results:

  • Contextual information significantly impacts ERPs at an early stage (~200ms post-word onset).
  • Contextual effects were also observed within the N400 time window.
  • Findings support an interactive model where context influences lexical processing dynamically.

Conclusions:

  • Contextual integration in language understanding begins earlier than previously emphasized.
  • Naturalistic stimuli reveal early effects of context on neural processing of words.
  • The study supports a cascading model of lexical access, integrating context throughout processing.