Loads the metrics and the corresponding directed adjacency matrix
to create a tree directly from an ASCII neurolucida
description file called name.
NOTE! For example to infer the cylinder-representation
of the soma we chose arbitrary algorithms similar
but not equal to the NEURON neurolucida import.
Sub-trees are attributed to somata by who-is-closest.
This function can be much further optimized or just rewritten.
The TREES toolbox function however has additional features
to the NEURON neurolucida import.
For example spines are imported (as cylinders with region named "spines").
Furthermore, imported markers can be added as spines via
“spines_tree”.
Example:
>> neurolucida_tree
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