Spatial Point Processes in the Eye-Tracking Data Analysis

Stochastic Spatial Point Processes are useful but challenging to be developed and implemented tools in analyzing the events with random locations in the d-dimensional space where more than one attribute are assigned to each event. As an example, as the early diagnosis of some quickly growing neuro-developmental mental disorders, like autism, might be of high importance in cognitive science, we try to analyze the data taken from subjects exposed to these kinds of disorders at the Eye-tracking Laboratory at the Research Institute for Cognitive and Brain Sciences in Tehran. Hopefully, useful information about the hidden mechanism of some structural and behavioral functions can be obtained using this approach.