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Updated: Mar 30, 2026
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Untangling brain and behavioural measures of visual statistical learning: A longitudinal study in infancy
Chiara Capparini1, Lauréline Fourdin1, Vincent Wens2
1Laboratoire de Neuroanatomie et Neuroimagerie translationnelles (LN2T), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels 1070, Belgium; ULBabyLab - Center for Research in Cognition and Neurosciences (CRCN), ULB Neuroscience Institute (UNI), Université libre de Bruxelles (ULB), Brussels 1050, Belgium.
Infant brains detect visual patterns early. Neural responses show learning improves by 9 months, becoming more linked to behavior, unlike behavioral measures alone.
Area of Science:
- Developmental neuroscience
- Cognitive psychology
- Infant perception
Background:
- Traditional infant statistical learning studies rely on behavioral measures, which can be variable and difficult to interpret.
- Electrophysiological measures, like electroencephalography (EEG), offer a real-time, online assessment of learning processes during infancy.
- Visual statistical learning is crucial for understanding how infants acquire complex information from their environment.
Purpose of the Study:
- To investigate the developmental trajectory of visual statistical learning in infants using electroencephalography (EEG).
- To compare neural markers of learning with behavioral outcomes across different infant age groups.
- To determine the earliest age at which infants demonstrate sensitivity to visual statistical regularities.
Main Methods:
- A longitudinal study tracking 30 infants at 3, 6, and 9 months of age.
- Utilized an EEG frequency-tagging paradigm with visual sequences (6 Hz) and deterministic doublets (3 Hz).
- Measured neural responses (entrainment) and behavioral looking times to familiar and novel stimuli.
Main Results:
- Infants showed neural sensitivity to visual statistical regularities in occipital regions as early as 3 months.
- The neural index of learning (3 Hz vs. 6 Hz entrainment) significantly increased by 9 months.
- Behavioral looking times did not change with age, but neural learning predicted behavior in 9-month-olds.
Conclusions:
- The infant brain possesses an early capacity for detecting visual statistical regularities.
- Neural markers of statistical learning mature and become more behaviorally relevant by 9 months of age.
- EEG is a sensitive tool for tracking infant learning, revealing insights not always captured by behavioral measures.
