__N_branch__

This function returns the number of
branches in the given input neuron. A branch is one or more compartments
that lie between two branching points or between one branching point and
a termination point.

Function Output Type : Boolean

Calculated : At each tracing point

Returns a value : For each branch

Output:

Metric | Total_Sum | #Compartments (considered) |
#Compartments (discarded) |
Minimum | Average | Maximum | S.D. |

N_branch | 9 | 9 | (6) | 1 | 1 | 1 | 0 |

Values to consider : Total_sum

Output Interpretation :

In the above example returns total 9 such branches. Since its a boolean function the user should use Total_Sum value for this metric. The minimum,
average and maximum values doesn't make much sense for the study of this
function.

Examples of Distribution Plots :

References :

-One can use this boolean rule 'terminal_degree>1' in the specificity
panel to limit the analysis to internal branches. The opposite rule,
which is 'terminal_degree=1' limits the analysis to terminal branches.