Pages that link to "Item:Q2210970"
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The following pages link to A computational model for grid maps in neural populations (Q2210970):
Displaying 15 items.
- Place cells and geometry lead to a flexible grid pattern (Q831606) (← links)
- Intrinsic versus extrinsic influences in the development of neuronal maps (Q885493) (← links)
- Mathematical model for self-organization of direction columns in the primate middle temporal area (Q1315270) (← links)
- Local reconstruction of a vector field from its normal components on the faces of grid cells (Q1387886) (← links)
- Learning orientations: a discrete geometry model (Q2151731) (← links)
- Modeling grid fields instead of modeling grid cells. An effective model at the macroscopic level and its relationship with the underlying microscopic neural system (Q2281000) (← links)
- MAP BASED MODELS IN NEURODYNAMICS (Q3586871) (← links)
- Theta Functions and Optimal Lattices for a Grid Cells Model (Q4958872) (← links)
- Transition scale-spaces: A computational theory for the discretized entorhinal cortex (Q5131177) (← links)
- Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences (Q5157249) (← links)
- On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning (Q5214357) (← links)
- Can grid cell ensembles represent multiple spaces? (Q5214404) (← links)
- A Combinatorial Model for Dentate Gyrus Sparse Coding (Q5380636) (← links)
- Modeling the grid cell activity on non-horizontal surfaces based on oscillatory interference modulated by gravity (Q6054946) (← links)
- Why grid cells function as a metric for space (Q6079060) (← links)
