Scoring matrices for neuron similarities in FCWB template brain
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.
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.fcwbwas trained using nearest-neighbour distance and the tangent vector defined by the first eigen vector of the k=5 nearest neighbours.
smat_alpha.fcwbwas defined as for
smat.fcwbbut weighted by the factor
alphadefined as (l1-l2)/(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
which emphasises the significance of matches between linear regions of the
neuron (such as axons) may have some advantages.