Segregate neurite compartments from a neuron/neuronlist based on synapse clustering

Fragment a skeleton into compartments that have been assigned cluster_synapses_within_skeleton() or flow.centrality(). Note that this will break down a neuron regardless of the segregation score calculated across the arbour.

arbour.clusters(x, ...)

# S3 method for neuron
arbour.clusters(x, ...)

# S3 method for neuronlist
arbour.clusters(x, neuronlist = FALSE, ...)

arbours(arbourcluster, ...)

# S3 method for neuron
arbours(arbourcluster, ...)

# S3 method for neuronlist
arbours(arbourcluster, ...)

Arguments

x	a neuronlist that has been processed by flow.centrality
...	additional arguments passed to methods.
neuronlist	whether or not to return a neuronlist where each entry is one of the broken up arbours (TRUE)
arbourcluster	a neuronlist produced from arbour.clusters

Value

Segmented arbours as a neuronlist object, complete with synaptic information relevant to that fragment. If a neuronlist is given, subsequently plotting the neuronlist will not reveal the fragments. However, plotting individual neurons double indexed in the lists will. arbours() returns a neuronlist, where each entry is an arbour fragment with a unique skid and name.

See also

neurites cluster_synapses_within_skeleton seebroken3d flow.centrality seesplit3d