Abstract
Mammalian grid cells fire whenever an animal crosses the points of an imaginary, hexagonal grid tessellating the environment. Here, we show how animals can localize themselves and navigate by reading-out a simple population vector of grid cell activity across multiple scales, even though this activity is intrinsically stochastic. This theory of dead reckoning explains why grid cells are organized into modules with equal lattice scale and orientation. Computing the homing vector is least error-prone when the ratio of successive grid scales is around 3/2. Silencing intermediate-scale modules should cause systematic errors in navigation, while knocking out the module at the smallest scale will only affect navigational precision. Read-out neurons should behave like goal-vector cells subject to nonlinear gain fields
Dokumententyp: | Paper |
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Fakultät: | Biologie > Department Biologie II > Neurobiologie |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie |
Sprache: | Englisch |
Dokumenten ID: | 61647 |
Datum der Veröffentlichung auf Open Access LMU: | 11. Apr. 2019, 06:25 |
Letzte Änderungen: | 13. Mai 2019, 09:10 |
Alle Versionen dieses Dokumentes
- Decoding the Population Activity of Grid Cells for Spatial Localization and Goal-Directed Navigation. (deposited 11. Apr. 2019, 06:25) [momentan angezeigt]