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Related Experiment Video

Updated: Dec 14, 2025

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
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Mechanisms of Categorization in Infancy.

Denis Mareschal1, Robert French2

  • 1Centre for Brain and Cognitive Development Birkbeck College University of London.

Infancy : the Official Journal of the International Society on Infant Studies
|July 19, 2020
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Summary

This study shows that simple neural networks can learn categories like 10-month-old infants, using covariation information. This connectionist model explains infant categorization as an interaction between the infant and their environment.

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Area of Science:

  • Cognitive Science
  • Developmental Psychology
  • Computational Neuroscience

Background:

  • Infant categorization abilities are complex and not fully understood.
  • Previous research has explored infant learning but lacked mechanistic explanations.
  • Correlation-based learning is a key aspect of cognitive development.

Purpose of the Study:

  • To present a connectionist model simulating correlation-based categorization in 10-month-old infants.
  • To provide a mechanistic account for how infants learn categories within a single session.
  • To explore the interaction between infant cognitive processes and environmental stimuli.

Main Methods:

  • Utilized simple autoencoder neural networks.
  • Exposed networks to stimuli identical to those used in infant studies.
  • Replicated the familiarization regime employed with human infants.

Main Results:

  • The model's performance closely matched that of 10-month-old infants.
  • Both infants and the model effectively used covariation information for category segregation.
  • The model demonstrated category learning as a result of subject-environment interaction.

Conclusions:

  • Connectionist models can effectively simulate infant categorization abilities.
  • Covariation detection is a crucial mechanism for early category learning.
  • Understanding infant behavior requires considering both internal computational characteristics and external environmental factors.