Shifting spatial attention—Numerical model of Posner experiment

A key challenge for neural modelling is to create models that allow to explain neural processes responsible for human behaviour. We propose computational spatial attention model that allows us to conduct computer experiments inspired by the Posner spatial attention task. The model consists of leaky integrate-and-fire neurons. The model dynamics was investigated and analysed. The obtained results showed that the proposed model is able to focus, keep and shift attention as well as to model lesions and dysfunctions.