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, allowingthesimulationoflarge-scaleneuralsystems.Moreconcretelyweexplainhowelectricalcouplingcanbesimulatedefficiently within this computation scheme, reproducing synchronization processes observed in detailed simulations of neural populations. © 2006 Elsevier Ireland Ltd. All rights reserved.
Richard R. Carrillo, Eduardo Ros, Boris Barbour, C