Research map / Probabilistic and scientific modeling / Dynamical systems
Actionable Neural Representations: Grid Cells from Minimal Constraints
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Combine actionability with non-negative, bounded activity and a functional objective | Neural representation of 2D space · 2D space | representation structure | Helped |
| Add non-negativity and bounded firing constraints to actionable codes | Actionable representations · 2D space | tuning structure | Helped |
| Prioritize separating distant points while accounting for occupancy | Actionable lattice codes · 2D space | grid geometry | Helped |
| Use non-harmonically related frequencies across modules | Multiple grid-cell modules · 2D space | separation of represented positions | Helped |
| Increase the number of neurons within a module | Grid-cell module · 2D space | grid peak sharpness | Helped |
| Offset one module's orientation slightly from another | Multiple grid-cell modules · 2D space | frequency overlap: \sim4^\circ; 3^\circ and 8^\circ | Helped |
| Adapt grid frequencies to the room geometry and occupancy distribution | Grid-cell representation · Square, circular, and rectangular environments | fit to environment | Helped |
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