I'm looking for a toolbox to model visual search performance in a singleton search task based on line orientations (you need to find a line that is most different from all others in it's orientation). The desirable features would be:Feature-detectors that resemble real neurons.Memory for distribution of distractors in feature space during previous trials.Is there something like that? I also know that sometimes similar tasks are studied in texture discrimination. Maybe there is something close to what I need in that domain?
Toolbox for modelling visual search performance
vision;cognitive modeling;computational modeling