smat.fcwb
was trained using nearest-neighbour 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 (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 smat_alpha.fcwb
matrix
which emphasises the significance of matches between linear regions of the
neuron (such as axons) may have some advantages.