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Updated: Apr 16, 2026

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Different developmental trajectories across feature types support a dynamic field model of visual working memory

Vanessa R Simmering1, Hilary E Miller, Kevin Bohache

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Visual working memory (VWM) development shows capacity for colors improves faster than for shapes. The Dynamic Field Theory (DFT) model explains these differences in VWM development.

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Area of Science:

  • Cognitive Psychology
  • Developmental Psychology
  • Computational Neuroscience

Background:

  • Visual working memory (VWM) research predominantly uses adult data, neglecting developmental changes in capacity and representation.
  • Existing models often explain VWM capacity limits using "slots" or "resources" without a developmental framework.
  • Understanding VWM development offers insights into the nature of cognitive representations.

Purpose of the Study:

  • To propose and test the Dynamic Field Theory (DFT) as a model for visual working memory development.
  • To explain how developmental changes in VWM resolution and capacity occur throughout childhood.
  • To account for differential capacity estimates across various feature types (e.g., color, shape) within a developmental context.

Main Methods:

  • Compared performance of children (3, 5, and 7 years old) on visual working memory tasks involving different feature types (color and shape).
  • Conducted a second experiment to confirm feature-type differences within subjects and explore the effect of familiarity (less familiar colors).
  • Utilized computational simulations of the Dynamic Field Theory (DFT) to model developmental changes and their impact on VWM capacity.

Main Results:

  • Children's capacity for remembering colors increased developmentally at a faster rate than their capacity for remembering shapes.
  • The difference in capacity across feature types was confirmed within subjects, and this difference was reduced when using less familiar colors.
  • DFT model simulations successfully replicated the observed developmental differences in VWM capacity across feature types, linking them to changes in neural connectivity.

Conclusions:

  • The Dynamic Field Theory (DFT) provides a viable framework for understanding visual working memory development, capturing both capacity and feature-specific differences.
  • Developmental improvements in VWM are influenced by feature type, with color memory showing more rapid development than shape memory in early childhood.
  • Experience-driven changes in neural connectivity, as modeled by DFT, can explain the observed developmental trajectories and feature-specific variations in visual working memory.