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Updated: Nov 28, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Tracking prototype and exemplar representations in the brain across learning.
Caitlin R Bowman1,2, Takako Iwashita1, Dagmar Zeithamova1
1Department of Psychology, University of Oregon, Eugene, United States.
This study shows that people can form both prototype and exemplar category representations simultaneously. Different brain regions support these representations, which can be flexibly updated during learning.
Area of Science:
- Cognitive Neuroscience
- Neuroscience of Learning
Background:
- The debate on category representation centers on whether concepts are stored as individual examples (exemplars) or abstract central tendencies (prototypes).
- Previous neuroimaging studies have provided evidence for either exemplar or prototype representations, but not both concurrently.
Purpose of the Study:
- To investigate if multiple types of category representations (exemplar and prototype) can coexist within a single cognitive task.
- To track the formation and neural correlates of both representation types during a learning process.
Main Methods:
- A categorization task was specifically designed to encourage the development of both exemplar and prototype representations.
- Neuroimaging techniques were used to monitor brain activity throughout the learning phase, with interim and final tests.
Main Results:
- While only prototype representations were observed in the ventromedial prefrontal cortex and anterior hippocampus during the final test.
- Interim tests revealed distinct neural correlates for both prototype (ventromedial prefrontal cortex, anterior hippocampus) and exemplar (inferior frontal gyrus, lateral parietal cortex) representations.
Conclusions:
- Individuals can form multiple levels of category representation specificity under certain conditions.
- The flexible formation of both prototype and exemplar representations may support diverse future decision-making processes.
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