title: Synchrony in binary-oscillator networks with local couplings.
abstract: Since synchronous oscillations in the visual cortex may be responsible for some features of visual scene, many works have been done to study the dynamics of oscillatory neural networks. Most of the oscillator network models rely on a global connection to reach synchronization. Here we propose a class of neural network models based on a simplified binary-oscillator, and find that the neurons of networks with local couplings will be in global synchrony under some criteria.
authors.affiliation: DSP Lab. Radio Engineering Department, Southeast University, Nanjing, P.R. China.
authors.forename: Z
authors.initials: Z
authors.lastname: Lu
authors.forename: B
authors.initials: B
authors.lastname: Wang
authors.forename: L
authors.initials: L
authors.lastname: Yang
authors.forename: Z
authors.initials: Z
authors.lastname: He
mesh_terms: D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D010507:Periodicity; D014793:Visual Cortex / Q000502:physiology*