Modelling the Efficiencies and Interactions of Attentional Networks

Posner and colleagues [38,40] assert that attention comprises three distinct anatomical areas of the brain responsible for separate aspects of attention, namely alerting, orienting and executive control. Based oil this view of attention, the work presented here computationally models the attentional networks task (ANT) which call be used to assess the efficiency and interactions of these disparate networks, collectively responsible for different functions related to attention mechanisms. The present research builds upon the model of ANT to show the modulation effects of one network oil the other and suggests how, the model call be used to simulate neglect conditions related to attention. The model is evaluated against, data sets front experimental studies and the model's fit to data, is assessed statistically. Building such models of attention benefits computer vision research, as they are, well informed from both cognitive psychology and neuroscience perspectives