title: Synthetic computational models of selective attention.
abstract: Computational modeling plays an important role to understand the mechanisms of attention. In this framework, synthetic computational models can uniquely contribute to integrate different explanatory levels and neurocognitive findings, with special reference to the integration of attention and awareness processes. Novel combined experimental and computational investigations can lead to important insights, as in the revived domain of neural correlates of attention- and awareness-related meditation states and traits.
authors.affiliation: Department of Psychology, University of Rome La Sapienza, Via dei Marsi, 78, 00185 Rome, Italy. antonino.raffone@sunderland.ac.uk
authors.forename: Antonino
authors.initials: A
authors.lastname: Raffone
mesh_terms: D001288:Attention / Q000502:physiology*; D003198:Computer Simulation; D004192:Discrimination, Psychological / Q000502:physiology*; D006801:Humans; D008954:Models, Biological