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Release from PI: An analysis and a model.

D J K Mewhort1, Kevin D Shabahang2, D R J Franklin2

  • 1Department of Psychology, Queen's University, Kingston, Ontario, Canada. mewhortd@queensu.ca.

Psychonomic Bulletin & Review
|June 25, 2017
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Summary
This summary is machine-generated.

Memory recall improves after a semantic category shift, demonstrating release from proactive interference (RPI). Word meaning vectors and a holographic model predicted RPI size, explaining recall changes at the individual word level.

Keywords:
dynamic storageholographic memoryinterferencesemantic memory

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Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Natural Language Processing

Background:

  • Proactive interference (PI) impairs memory recall over time.
  • Release from proactive interference (RPI) occurs when the semantic category of to-be-remembered items changes.
  • The magnitude of RPI varies based on semantic category properties.

Purpose of the Study:

  • To investigate the semantic properties influencing RPI magnitude.
  • To develop a computational model explaining RPI at the word level.
  • To explore the role of word meaning representations in memory recall.

Main Methods:

  • Utilized a large corpus of novels to generate word meaning vectors using the BEAGLE algorithm (approx. 40,000 words).
  • Developed a holographic memory model incorporating BEAGLE word vectors.
  • Analyzed the relationship between semantic category distance, within-category spread, and RPI size.

Main Results:

  • Semantic category distance and within-category spread were significant predictors of RPI magnitude.
  • The holographic model successfully simulated RPI, including release at the individual word level.
  • Model performance demonstrated the utility of word meaning vectors in explaining memory phenomena.

Conclusions:

  • Word meaning, as represented by semantic vectors, plays a crucial role in memory recall and RPI.
  • Holographic memory models provide a viable framework for bridging episodic and semantic memory.
  • This study offers the first computational account of RPI that captures release effects at the individual word level.