A brain-inspired computational model of emotion and attention interaction

Abstract

Computational models of cognitive processes are usually developed as separate components. The importance of the interactions among these models has been widely disregarded. In recent years, research on the brain information processing has focused on the interrelationships among cognitive functions, providing a wealth of evidence capable of informing the development of more integrative computational models of cognition. In this paper, we present a brain-inspired computational model of emotion and attention interaction. This model addresses some aspects of the interplay between these two processes and is developed to be included in cognitive architectures of intelligent agents. Simulations based on the dot-probe paradigm are carried out to validate the proposed model. © 2012 Springer-Verlag.