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Related Experiment Videos

Semantic memory: complexity or connectivity?

N E Kroll1, W Klimesch

  • 1Department of Psychology, University of California, Davis 95616-8686.

Memory & Cognition
|March 1, 1992
PubMed
Summary
This summary is machine-generated.

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Cognitive psychology research shows that verifying semantic relationships depends on concept complexity, not just feature count. This finding supports the connectivity hypothesis over the fan effect model for semantic tasks.

Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Human Memory

Background:

  • The fan effect model posits that concept-feature verification time increases with the number of associated features.
  • The connectivity hypothesis suggests that for interconnected concepts, verification time decreases with more closely associated features (reversed fan effect).

Purpose of the Study:

  • To investigate the relationship between concept complexity, feature association, and verification times in semantic and episodic memory tasks.
  • To test the predictive power of the complexity and connectivity hypotheses in human memory.
  • To compare the influence of concept complexity versus feature association strength on task performance.

Main Methods:

  • Participants performed episodic recognition memory and semantic verification tasks.

Related Experiment Videos

  • Reaction times for verification decisions were recorded.
  • The number of features associated with concepts and their complexity were manipulated and measured.

    • Main Results:

    • Episodic recognition memory decisions showed a trend towards the fan effect (longer times with more features).
    • Semantic verification times were inversely related to concept complexity, supporting the reversed fan effect.
    • Concept complexity was a strong predictor of semantic task performance, comparable to feature association strength.

    Conclusions:

    • The results support the connectivity hypothesis, particularly for semantic verification tasks.
    • Concept complexity, rather than simply the number of features, is a key factor in semantic memory retrieval.
    • Human semantic memory organization may be better explained by interconnectedness than by a simple fan effect.