A Unified Model for the Simulation of Artificial and Biology-Oriented Neural Networks

A unified model for the simulation of artificial and biologyoriented neural networks is presented. It supports all rate-coded and also many pulse-coded neural network models. The focus of the paper is on the special requirements for the simulation of neural networks built from neurons modelled by a single compartment. The derived unified neural network model represents a basis for the design of a universal neurosimulator. Several extensions of the neural specification language EpsiloNN to incorporate the new model are explained.