Title : Event-based simulation strategy for conductance-based synaptic interactions and plasticity
Authors : Michelle Rudolph and Alain Destexhe
Year : 2006
Journal : Neurocomputing
Volume : 69
Pages : 1130-1133
The immense computational and adaptive power of the cerebral cortex emerges from the collective dynamics of large populations of interacting neurons. Thus, for theoretical investigations, optimal strategies for modeling biophysically faithful neuronal dynamics are required. Here, we propose an extension of the classical leaky integrate-and-?re neuronal model, the gIF model. It incorporates various aspects of high-conductance state dynamics typically seen in cortical neurons in vivo, as well as activity-dependent modulation of synaptic weights. The analytic description of the resulting neuronal models allows their use together with the event-driven simulation strategy. The latter provides an ef?cient tool for exact simulations of large-scale neuronal networks.