Aug 2026· KN - Journal of Cartography and Geographic Information· Vol 76, pp. 307 - 328· 0 citations· 160 references
Medicine
TL;DR
The specific properties of specialized spatially tuned neuronal populations, including place cells, head direction cells, grid cells, and border cells, are introduced to promote the development of allocentric and egocentric spatial representations during both real-world navigation and map-based wayfinding, thereby counteracting the decline in navigational abilities observed with the widespread use of digital turn-by-turn systems.
Abstract
Digital navigation systems facilitate goal-directed travel but reduce active engagement with the surrounding environment—a process critical for the formation of allocentric cognitive maps. Neuroscientific evidence reveals that spatial orientation relies on the coordinated activity of specialized spatially tuned neuronal populations, including place cells, head direction cells, grid cells, and border cells. This article introduces the specific properties of these spatially tuned cells, which encode central components of spatial information such as position, direction, distance, boundaries, and object relationships. Cell activities are continuously modulated by the perception of stable landmarks and environmental boundaries. This could form the basis for a “neurocartographic” approach that focuses on the systematic use of these cell activities to support spatial orientation. Enhancing the visual salience of landmarks and boundary structures, as well as integrating Virtual Reality (VR) and Augmented Reality(AR)-based components, may strengthen the metric representation of space—particularly grid cell–based coding. The overarching objective of this approach is to promote the development of allocentric and egocentric spatial representations during both real-world navigation and map-based wayfinding, thereby counteracting the decline in navigational abilities observed with the widespread use of digital turn-by-turn systems.
The findings suggest that the effect of spatial boundary cues depends on their design and perceptual properties, and that the effect of spatial boundary cues depends on their design and perceptual properties.
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A platform that combines freely moving behavior with control over environmental stimuli, trajectories, and reward locations is introduced and it is shown rats can learn a multistage spatial targeting task and that high density Neuropixels recordings can be performed in conjunction.
Tucker G. Fisher, Marielena Sosa, Alexander Gonzalez et al.· bioRxiv· 0 citations
Tracking one’s position in the environment during navigation requires integrating multiple signals into a spatial representation. This process is thought to occur primarily in the hippocampal formation, but evidence for it has also been observed in other regions. To investigate it across the brain, we recorded from ove...
E. V. van Beest, Bex Terry, G. Booth et al.· bioRxiv· 0 citations
All physical interactions between an organism and its environment occur within the space immediately adjacent to and surrounding its body, its peripersonal space (PPS). This space has been extensively studied behaviorally in humans, and through sparse single-neuron recordings in primates. However, how PPS is represente...
Maria J. Sosa, Shayla Brooks, Maximillian Bluhm et al.· bioRxiv· 0 citations
It is demonstrated that mPFC lesions, but not ACC lesions, selectively disrupted the ability to predict and navigate toward the subsequent escape platform location, suggesting that the mPFC is essential for prospective spatial navigation, integrating sequential rules with spatial information to generate future trajecto...
Hippocampal neurons track the positions of self, others, and gaze direction. However, it is unclear how their respective neural codes differ enough to avoid confusion while allowing for abstraction across spatial frames. We recorded from populations of hippocampal neurons while human participants performed a joystick-c...
Assia Chericoni, Chad Diao, Xin-Yuan Yan et al.· Neuron· 0 citations
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