Allen Cheung

Papers

Total Citations

108

H-Index

About

Allen Cheung is a leading researcher in animal navigation and spatial cognition, whose work bridges computational theory and behavioral biology. His key research areas include path integration, cognitive mapping, and the neural mechanisms underlying directed walks. Cheung’s major contributions center on how animals maintain spatial awareness in challenging environments, particularly when visual cues are absent. His highly cited 2012 paper, "Maintaining a Cognitive Map in Darkness," with 59 citations, demonstrates the critical need to integrate boundary knowledge with path integration for robust navigation—a finding that reshaped debates on whether multimodal sensory data must form a unified representation. His 2008 work, "Animal navigation: general properties of directed walks" (49 citations), provides foundational insights into the computational rules governing goal-directed movement. Cheung’s research has profound implications for robotics and artificial intelligence, offering blueprints for autonomous systems that navigate without GPS. His ability to synthesize neurobiology, psychology, and mathematics has made him a pivotal figure in understanding how animals—from insects to mammals—solve complex spatial problems, inspiring new generations of researchers to explore the brain’s navigational toolkit.