Max Hinne
Assistant professor
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About
Max Hinne is an Assistant Professor at Radboud University Nijmegen in the Netherlands. His research focuses on Bayesian inference, Sequential Monte Carlo methods, and model comparison, particularly in the contexts of psychology and behavioral science. He has published several articles investigating dynamic covariance and the cognitive processes of infants, contributing significantly to the understanding of individual differences in processing speed and curiosity.
Articles (6)
Year:
2025
Year:
2024
Habituation and dishabituation are the most prevalent measures of infant cognitive functioning, and they have reliably been shown to predict later cognitive outcomes. Yet, the exact mechanisms underlying infant habituation and dishabituation are still unclear. To investigate them, we tested 106 8‐month‐old infants on a classic habituation task and a novel visual learning task. We used a hierarchical Bayesian model to identify individual differences in sustained attention, learning performance, processing speed and curiosity from the visual learning task. These factors were then related to habituation and dishabituation. We found that habituation time was related to individual differences in processing speed, while dishabituation was related to curiosity, but only for infants who did not habituate. These results offer novel insights in the mechanisms underlying habituation and serve as proof of concept for hierarchical models as an effective tool to measure individual differences in infant cognitive functioning. Research Highlights We used a hierarchical Bayesian model to measure individual differences in infants’ processing speed, learning performance, sustained attention, and curiosity. Faster processing speed was related to shorter habituation time. High curiosity was related to stronger dishabituation responses, but only for infants who did not habituate.
Year:
2023
Year:
2023
Year:
2022
Year:
2020
Collaborators (2)
Carolina de Weerth
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Sabine Hunnius
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