title: Approximate emergent synchrony in spatially coupled spiking neurons with discrete interaction.
abstract: Models for perceptual grouping and contour integration are presented. Connection weights depend on distances and angle differences, while neurons evolve following a spiking dynamics (Izhikevich's model in most of the considered cases). Although the studied synapses depend on discrete three-valued functions, simulations display the emergence of approximate synchrony, making these cognitive tasks possible. Noise effects are examined, and the possibility of achieving similar results with a different neuron model is discussed.
authors.affiliation: Department of Basic Psychology, Faculty of Psychology and Institute for Brain, Cognition, and Behavior, University of Barcelona, Barcelona 08035, Spain, and Catalan Institute for Research and Advanced Studies, Barcelona 08010, Spain hans.super@icrea.cat.
authors.forename: Hans
authors.initials: H
authors.lastname: Supèr
authors.forename: August
authors.initials: A
authors.lastname: Romeo
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D010465:Perception; D013569:Synapses / Q000502:physiology*; D009435:Synaptic Transmission; D013997:Time Factors