Scoring matrices for neuron similarities in FCWB template brain
Description
Scoring matrices quantify the log2 odds ratio that a segment pair with a given distance and absolute dot product come from a pair of neurons of the same type, rather than unrelated neurons.
Details
These scoring matrices were generated using all by all pairs from 150 DL2 antennal lobe projection neurons from the http://flycircuit.tw dataset and 5000 random pairs from the same dataset.

smat.fcwb
was trained using nearestneighbour distance and the tangent vector defined by the first eigen vector of the k=5 nearest neighbours. 
smat_alpha.fcwb
was defined as forsmat.fcwb
but weighted by the factoralpha
defined as (l1l2)/(l1+l2+l3) where l1,l2,l3 are the three eigen values.
Most work on the flyircuit dataset has been carried out using the
smat.fcwb
scoring matrix although the smat_alpha.fcwb
matrix
which emphasises the significance of matches between linear regions of the
neuron (such as axons) may have some advantages.