A mathematical model of local and global attention in natural scene viewing.

ABSTRACT: Understanding the decision process underlying gaze control is an important question in cognitive neuroscience with applications in diverse fields ranging from psychology to computer vision. The decision for choosing an upcoming saccade target can be framed as a selection process between two states: Should the observer further inspect the information near the current gaze position (local attention) or continue with exploration of other patches of the given scene (global attention)? Here we propose and investigate a mathematical model motivated by switching between these two attentional states during scene viewing. The model is derived from a minimal set of assumptions that generates realistic eye movement behavior. We implemented a Bayesian approach for model parameter inference based on th

SUBMITTER: Malem-Shinitski N 

PROVIDER: S-EPMC7769622 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature