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Updated: Jul 19, 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
Memory systems for structural and semantic knowledge of faces and buildings.
Friederike M Engst1, Manuel Martín-Loeches, Werner Sommer
1Institut für Psychologie, Humboldt-Universität zu Berlin, Germany. engst@psychomail.tu-dresden.de
Brain Research
|November 10, 2006
Summary
This study investigated how the brain processes familiar faces and buildings. Findings suggest a common structural knowledge system followed by category-specific semantic processing for faces and buildings.
Area of Science:
- Cognitive Neuroscience
- Neuroimaging
- Human Perception
Background:
- The neural basis of face and object recognition remains debated, especially concerning structural and semantic knowledge access.
- Event-related potentials (ERPs) offer insights into the temporal dynamics of cognitive processes.
Purpose of the Study:
- To compare the neurocognitive processing of familiar faces and buildings using event-related potentials.
- To investigate the roles of early repetition effects (ERE/N250r) and late repetition effects (LRE/N400) in accessing structural and semantic knowledge.
Main Methods:
- Event-related potentials (ERPs) were recorded in a repetition priming paradigm.
- Familiar and unfamiliar faces and buildings were presented as stimuli.
- Analysis focused on the early repetition effect (ERE/N250r) and late repetition effect (LRE/N400).
Main Results:
- An early repetition effect (ERE/N250r) was observed for familiar buildings, comparable to faces but with similar scalp topography.
- The late repetition effect (LRE/N400) showed stimulus-specific topographical differences between faces and buildings.
- These effects suggest distinct neural pathways for structural and semantic information retrieval.
Conclusions:
- Initial processing of structural knowledge for faces and buildings may involve a common neural system.
- Subsequent semantic knowledge retrieval appears to be category-specific, with distinct representations for person- and building-related information.
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