论文
International Journal of Geographical Information Science
PublisherJournal
Tool
UrbanComputing
中文标题
受脑科学启发的城市空间表征
English Title
Brain-inspired representations of urban space
Ed Manley Daniel C. McNamee a School of Geography, University of Leeds, Leeds, UKb Champalimaud Centre for the Unknown, Lisbon, PortugalEd Manley is a professor at the University of Leeds, where he studies the role of spatial cognition in shaping mobility and urban complexity. He contributed to the conceptualisation, methodology, analysis, and writing the paper.Daniel C. McNamee studied mathematics at Trinity College Dublin and did his PhD at Caltech in computation and neural systems. Currently, he is Principal Investigator at Champalimaud Research in Lisbon, Portugal. He contributed to the conceptualisation, methodology, and writing the paper.
发布时间
2026/6/29 19:31:43
来源类型
journal
语言
en
摘要

Geography and neuroscience share a core interest in understanding human behaviour in spatial environments. Yet, interdisciplinary collaboration is often limited by differences in methodology and epistemological assumptions. To help bridge this divide, we introduce a translational link between cognitive models of spatial processing in neuroscience and representations of geographic space. Building on long-standing theories that the brain predicts possible futures, the predictive map hypothesis suggests that locations in space are encoded according to their association with possible locations in the future. Here, we adapt a formal instantiation of this idea, the successor representation (SR), to urban space resulting in the geographic successor representation (gSR). We show that this cognitive model of geographic representation produces compelling unique features of urban space while remaining closely aligned with brain mechanisms of spatial processing. We outline several promising directions for extending this work, and propose that the gSR and its variants may provide spatial representations capable of supporting deeper integration between geographic and neuroscientific research.

元数据
来源International Journal of Geographical Information Science
类型论文
抽取状态raw
关键词
PublisherJournal
Tool
UrbanComputing