title: Event-driven simulation of neural population synchronization facilitated by electrical coupling.
abstract: Most neural communication and processing tasks are driven by spikes. This has enabled the application of the event-driven simulation schemes. However the simulation of spiking neural networks based on complex models that cannot be simplified to analytical expressions (requiring numerical calculation) is very time consuming. Here we describe briefly an event-driven simulation scheme that uses pre-calculated table-based neuron characterizations to avoid numerical calculations during a network simulation, allowing the simulation of large-scale neural systems. More concretely we explain how electrical coupling can be simulated efficiently within this computation scheme, reproducing synchronization processes observed in detailed simulations of neural populations.
authors.affiliation: Department of Computer Architecture and Technology, E.T.S.I. Informática, University of Granada, E-18071 Granada, Spain. rcarrillo@atc.ugr.es
authors.forename: Richard R
authors.initials: RR
authors.lastname: Carrillo
authors.forename: Eduardo
authors.initials: E
authors.lastname: Ros
authors.forename: Boris
authors.initials: B
authors.lastname: Barbour
authors.forename: Christian
authors.initials: C
authors.lastname: Boucheny
authors.forename: Olivier
authors.initials: O
authors.lastname: Coenen
mesh_terms: D000200:Action Potentials; D005071:Evoked Potentials; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D009435:Synaptic Transmission; D049490:Systems Biology