Scientists at the Okinawa Institute of Science and Technology (OIST), the National Institute of Information and Communications Technology, and the University of Tokyo have found a mathematical connection between spatial navigation and language processing, creating a model called “Disentangled Successor Information” (DSI).
This model generates patterns that closely resemble the activity of actual brain cells involved in both spatial awareness (place cells and grid cells) and concept recognition (concept cells).
The DSI model shows that the hippocampus and entorhinal cortex—brain regions previously known primarily for spatial navigation—likely use comparable computational processes to handle both physical spaces and meaningful ideas or words. Using this shared framework, both types of information can be processed through similar mathematical computations, which could be achieved in the brain by partial activation of specific groups of neurons.
This discovery shows that how we navigate spaces and how we understand language might use the same basic brain processes. The findings have been published in PNAS.

More information:
Tatsuya Haga et al, A unified neural representation model for spatial and conceptual computations, Proceedings of the National Academy of Sciences (2025). DOI: 10.1073/pnas.2413449122
Citation:
New study links spatial navigation and language processing in the brain (2025, March 11)
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