`R/morphometry.R`

`overlap_score.Rd`

Generates an 'overlap matrix' of overlap scores between neurons in the `outputneurons`

and `inputneurons`

pools.
For every point in a given neuron in `outputneurons`

, a distance score is calculated to every point in a neuron in `inputneurons`

.
The sum of this score is added to the final output matrix. The score is calculated as `e(-d^2/(2*delta^2))`

, where d is the euclidean distance between the two points,
and delta is the expected distance in um that is considered 'close'. It is recommended that the user resamples neurons before use, using `resample`

.

`overlap_score(outputneurons, inputneurons, delta = 1, progress = TRUE)`

- outputneurons
first set of neurons

- inputneurons
second set of neurons

- delta
the distance (in um) at which a synapse might occur

- progress
whether or not to have a progress bar

a matrix of overlap scores

```
if (FALSE) {
# Calculate how much some neurons overlap with one another
## Example requires the package nat.flybrains
Cell07PNs_overlap = overlap_score(outputneurons = Cell07PNs, inputneurons = Cell07PNs)
## Plot the results
heatmap(Cell07PNs_overlap)
}
```