Encoding Cognitive Maps: Investigating Topological Representation of Networks Through Right Angle Bias

My project investigated how we use topology, a branch of mathematics describing relations between objects, to represent space. We did this by conducting a simple memory task in which participants are asked to draw stimuli from memory. By measuring both the topological features present and the degree of right angle bias in the drawings, we found that topological relations play an essential role in mentally representing and recreating objects in space.

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Publication Details

Journal
UNC Libraries
Published
2025-08-13
DOI
https://doi.org/10.17615/bcv5-h128
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
0.00
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article

Encoding Cognitive Maps: Investigating Topological Representation of Networks Through Right Angle Bias

UNC Libraries
Spatial Cognition and Navigation
article

Encoding Cognitive Maps: Investigating Topological Representation of Networks Through Right Angle Bias

article en

Abstract

My project investigated how we use topology, a branch of mathematics describing relations between objects, to represent space. We did this by conducting a simple memory task in which participants are asked to draw stimuli from memory. By measuring both the topological features present and the degree of right angle bias in the drawings, we found that topological relations play an essential role in mentally representing and recreating objects in space.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Reduced inequalities
Openalex Percentile: Top 53%
Spatial Cognition and Navigation
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Encoding Cognitive Maps: Investigating Topological Representation of Networks Through Right Angle Bias · UNC Libraries (2025) | TGRS Research Map | TGRS