A single recurrent network trained on masked sensory prediction and motion develops co-emergent grid and place cells that qualitatively match multiple experimental observations without any spatial supervision.
Di Tullio, Spencer Rooke, and Vijay Balasubramanian
2 Pith papers cite this work, alongside 8 external citations. Polarity classification is still indexing.
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Pith papers citing it
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q-bio.NC 2years
2026 2representative citing papers
Exploratory experience produces more spatially organized and transition-preserving predictive representations in maze navigation for both agents and mice.
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A simple model of co-emergence of grid and place fields
A single recurrent network trained on masked sensory prediction and motion develops co-emergent grid and place cells that qualitatively match multiple experimental observations without any spatial supervision.
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Exploratory Experience Shapes the Geometry of Predictive Representations
Exploratory experience produces more spatially organized and transition-preserving predictive representations in maze navigation for both agents and mice.