We introduce a graphical method originating from the computer graphics domain that is used for the arbitrary placement of cells over a two-dimensional manifold. Using a bitmap image whose luminance provides cell density, this method guarantees a discrete distribution of the positions of the cells respecting the local density. This method scales to any number of cells, allows one to specify arbitrary enclosing shapes and provides a scalable and versatile alternative to the more classical assumption of a uniform spatial distribution. The method is illustrated on a discrete homogeneous neural field, on the distribution of cones and rods in the retina and on the neural density of a flattened piece of cortex.
A Density-Driven Method for the Placement of Biological Cells Over Two-Dimensional Manifolds.
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作者:Rougier, Nicolas, P
| 期刊: | Frontiers in Neuroinformatics | 影响因子: | 2.500 |
| 时间: | 2018 | 起止号: | 2018 Mar 20; 12:12 |
| doi: | 10.3389/fninf.2018.00012 | ||
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