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Updated: Jan 2, 2026
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The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
Published on: February 19, 2018
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Different features of real-world objects are represented in a dependent manner in long-term memory
Halely Balaban1, Dana Assaf2, Moran Arad Meir2
1Sagol School of Neuroscience.
Journal of Experimental Psychology. General
|December 6, 2019
Summary
Information in long-term memory is forgotten in an object-based manner, not feature-by-feature. When an object is forgotten, all its features are lost together, indicating a hierarchical structure in visual memory.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Memory Research
Background:
- Contrasting theories on object representation in long-term memory: feature-based vs. bound integrated representations.
- Understanding how features of real-world objects are stored and retrieved is crucial for memory models.
Purpose of the Study:
- To investigate whether object features are remembered and forgotten independently (feature-based) or dependently (object-based).
- To test predictions of feature-based and object-based memory models across diverse experimental conditions.
Main Methods:
- Conducted 5 experiments manipulating stimuli, learning tasks (incidental/explicit), experimental designs (within/between-subjects), feature dimensions, and encoding times.
- Assessed memory recall to determine if features of objects are lost independently or as a unified whole.
Main Results:
- Consistently found that information is forgotten in an object-based manner across all tested conditions.
- Demonstrated that when an object is no longer fully remembered, all its features are lost simultaneously.
- Provided evidence for a hierarchical structure among object features in long-term memory.
Conclusions:
- Visual long-term memory is fundamentally object-based, challenging prior feature-based perspectives.
- Object features are not independent but form a dependent, hierarchical structure within memory.
- This object-based representation impacts how information is stored and retrieved over time.
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