Toolbox for modelling visual search performance
I'm assuming that you want some kind of "computer vision" model (in that you want to be able to provide the model with input stimuli in the form of an image), and that you want to predict some kind of behaviour? (e.g., RT from a search task). Fleshing out the different processes involved is not going to be trivial, so there probably isn't a "one-size-fits-all" "toolbox" for your problem.

Perhaps the "saliency map model" by Itti and Koch would be suitable. There are many more modern versions of this (including a MATLAB toolbox and a number of related models). While it is not necessarily the best, the advantages in this case are that Itti and Koch actually used an orientation pop-out task in their original paper (Vision Research, 2000). However, I'm not sure to what degree the feature detectors actually resemble neurons, and I don't think a memory component has been included.