Generate a connectivity matrix from neuronlist skeleton data. Can also be used with fragmented neurons, i.e. those generated using the flow.centrality() and neurites() functions.
skeleton_connectivity_matrix(pre, post = NULL, ...) connectivity_matrix(pre, post = pre, ...) neuron.heatmap(data, ...)
| pre | skeletons from which connections are to be included |
|---|---|
| post | skeletons to which connections from the pre group are to be included. Defaults to the pre group. |
| ... | additional arguments passed to methods. |
| data | a connectivity matrix |
A connectivity matrix. The values are synaptic weights, row and column names are neuron names from CATMAID.
CATMAID access required.