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Updated: Aug 6, 2025
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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
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Modality-specific and modality-independent neural representations work in concert in predictive processes during
Teodóra Vékony1, Ádám Takács2,3, Felipe Pedraza1,4
1Université Claude Bernard Lyon 1, CNRS, INSERM, Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, 95 Boulevard Pinel, Bron F-69500, France.
Cerebral Cortex (New York, N.Y. : 1991)
|March 21, 2023
Summary
Probabilistic sequence learning involves both visual perception and motor responses. This study reveals that both perceptual and motor coding contribute to learning sequential regularities, challenging previous distinctions.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Probabilistic sequence learning is crucial for skill development and predictive processing.
- A key debate exists on whether visuomotor sequence learning relies on visual (perceptual) or response (motor) coding.
Purpose of the Study:
- To investigate the neurophysiological underpinnings of visuomotor sequence learning.
- To determine the distinct or combined roles of perceptual and motor coding in learning sequential regularities.
Main Methods:
- Neurotypical adults performed an incidental visuomotor sequence learning task.
- Univariate and multivariate pattern analyses (MVPAs) were applied to temporally decomposed electroencephalography (EEG) signals.
- Source localization was used to identify brain regions involved.
Main Results:
- Univariate analysis indicated sequence learning modulated motor code amplitudes but not perceptual or perceptual-motor codes.
- Multivariate pattern analysis (MVPA) demonstrated that perceptual, motor, and perceptual-motor codes of EEG signals all contribute to representing learned probabilities.
- Source localization identified distinct frontal and parietal network activations across coding levels.
Conclusions:
- Both perceptual and motor coding contribute to learning sequential regularities, suggesting a non-exclusive process.
- The findings indicate that probabilistic sequence learning is non-unitary, involving a combination of modality-specific and modality-independent encoding principles.
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