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Context information supports serial dependence of multiple visual objects across memory episodes.

Cora Fischer1, Stefan Czoschke1, Benjamin Peters1,2

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Summary
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Serial dependence enhances perceptual stability for multiple objects by integrating context features with content. This binding mechanism supports stable object representations over time in memory.

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Area of Science:

  • Cognitive psychology
  • Neuroscience
  • Perception

Background:

  • Serial dependence is crucial for perceptual stability, aiding in compensating for minor appearance changes across memory episodes.
  • Previous research has primarily focused on serial dependence involving single objects, leaving the stability of multiple objects unaddressed.
  • Objects in memory tasks are defined by content (to-be-memorized feature) and context (discriminative features).

Purpose of the Study:

  • To investigate whether congruent context features, alongside content similarity, influence serial dependence.
  • To determine if the binding of content and context features persists across memory episodes.
  • To explore mechanisms supporting the temporal stability of multiple object representations.

Main Methods:

  • Four experiments were conducted using a memory task.
  • Objects were differentiated by content and context features.
  • Serial dependence was measured based on the relationship between successive object presentations.

Main Results:

  • A stronger serial dependence was observed between objects sharing congruent context features across trials.
  • The binding of content and context features appears to carry over to subsequent memory episodes.
  • Congruent context features significantly enhance serial dependence beyond content similarity alone.

Conclusions:

  • Congruent context features play a significant role in supporting serial dependence for multiple objects.
  • The binding of content and context features is maintained across memory episodes, contributing to perceptual stability.
  • This mechanism integrates corresponding features to create stable, individualized object representations over time, reflecting naturalistic temporal dependencies.