Synthesis of Generalized Algorithms for the Fast Computation of Synaptic Conductances with Markov Kinetic Models in Large Network Simulations

摘要

Markov kinetic models constitute a powerful framework to analyze patch- clamp data from single-channel recordings and model the dynamics of ion conductances and synaptic transmission between neurons. In par- ticular, the accurate simulation of a large number of synaptic inputs in wide-scale network models may result in a computationally highly de- manding process.