The Sense of Place: Grid Cells in the Brain and the Transcendental Number e
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Abstract (arXiv)
Grid cells in the brain respond when an animal occupies a periodic lattice of "grid fields" during spatial navigation. The grid scale varies along the dorso-ventral axis of the entorhinal cortex. We propose that the grid system minimizes the number of neurons required to encode location with a given resolution. We derive several predictions that match recent experiments: (i) grid scales follow a geometric progression, (ii) the ratio between adjacent grid scales is the square root of e for idealized neurons, and robustly lies in the range 1.4-1.7 for realistic neurons, (iii) the scale ratio varies modestly within and between animals, (iv) the ratio between grid scale and individual grid field widths at that scale also lies in this range, (v) grid fields lie on a triangular lattice. The theory also predicts the optimal grids in one and three dimensions, and the total number of discrete scales.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Mar 2013.
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Citing papers per year: 2022: 2; 2023: 3; 2024: 3; 2025: 2; 2026: 2.
12 papers.
- 2023Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cellscited by 8
- 2024On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embeddingcited by 6
- 2024Range, not Independence, Drives Modularity in Biologically Inspired Representationscited by 4
- 2022Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensemblescited by 3
- 2023Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalizationcited by 2
- 2025REMI: Reconstructing Episodic Memory During Internally Driven Path Planningcited by 2
- 2022A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cellscited by 0
- 2023Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalizationcited by 0
- 2024GridPE: A Grid Cell-Inspired Unified Position Embedding for Arbitrary-Dimensional Spacescited by 0
- 2025A Grid Cell-Inspired Structured Vector Algebra for Cognitive Mapscited by 0
- 2026The Metric Slingshot: Navigational Reuse as Width-Optimal Structural Decoupling in Continual Learningcited by 0
- 2026How does Chain of Thought decompose complex tasks?cited by 0
- 2026How does Chain of Thought decompose complex tasks?10 Apr 2026
- 2026The Metric Slingshot: Navigational Reuse as Width-Optimal Structural Decoupling in Continual Learning16 Mar 2026
- 2025REMI: Reconstructing Episodic Memory During Internally Driven Path Planning2 Jul 2025
- 2025A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps11 Mar 2025
- 2024Range, not Independence, Drives Modularity in Biologically Inspired Representations8 Oct 2024
- 2024GridPE: A Grid Cell-Inspired Unified Position Embedding for Arbitrary-Dimensional Spaces11 Jun 2024
- 2024On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding27 May 2024
- 2023Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells4 Nov 2023
- 2023Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalization29 Oct 2023
- 2023Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization28 May 2023
- 2022Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles6 Oct 2022
- 2022A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells22 Apr 2022