`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) }