Mice Learn a Sparse Path Vocabulary to Build Compressed World Models for Navigation
ShahabBakht · x · 2026-10-13
Shared research: mice navigating complex landscapes learn a sparse vocabulary of paths — a small set of reusable route segments — forming a compressed world model rather than memorizing all routes. The figure illustrates compression from a complex maze into a sparse path vocabulary. Such neuroscience findings offer inspiration for world models and efficient representation learning in AI.
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