The resequenced reference reads were then mapped to the modified reference using the pipeline described above, as well as several variations, to investigate the performance of our pipeline vs. more standard alignment approaches and various degrees of filtering.
Parameters ν0 and τ0 are used to change the length of the ellipse axes aligned along ν (the degree of time filtering) and τ (the degree of frequency filtering), respectively.
In this study, we used {τ0, ν0, λ} = {0.05,0.046,0.300}, with 2048 frequency points (corresponding to {Δt,Δf} = {10.9s,0.039Hz}), because among all the explored combination of parameters which gave γik t,f) ∈[0,1], this was associated to the minimum degree of TF filtering.
The only manipulations made were to the arrangement of AN inputs and the degree of dendritic filtering.
The alternative of filtering by degree of difference may induce FDR bias, but there is no evidence of such bias when filtering by variability (van Iterson et al. 2010).
The kernel function determines the degree of TF filtering, and, consequently, the TF resolution of the spectra and the interference terms (ITs) reduction.
Given the degree of spatial filtering used and the size of the anatomical regions of interest in the present study, we believe that the spherical ROIs with a radius of 6 mm used here represent a reasonable trade-off between anatomical specificity and signal sensitivity.
