title: A computational model for feature binding.
abstract: The "Binding Problem" is an important problem across many disciplines, including psychology, neuroscience, computational modeling, and even philosophy. In this work, we proposed a novel computational model, Bayesian Linking Field Model, for feature binding in visual perception, by combining the idea of noisy neuron model, Bayesian method, Linking Field Network and competitive mechanism. Simulation Experiments demonstrated that our model perfectly fulfilled the task of feature binding in visual perception and provided us some enlightening idea for future research.
authors.affiliation: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China. shizw@ics.ict.ac.cn
authors.forename: ZhiWei
authors.initials: Z
authors.lastname: Shi
authors.forename: ZhongZhi
authors.initials: Z
authors.lastname: Shi
authors.forename: Xi
authors.initials: X
authors.lastname: Liu
authors.forename: ZhiPing
authors.initials: Z
authors.lastname: Shi
mesh_terms: D001499:Bayes Theorem; D003198:Computer Simulation; D009474:Neurons / Q000502:physiology