An Object-Oriented Framework for the Simulation of Neural Nets

The field of software simulators for neural networks has been expanding veryrapidly in the last years but their importance is still being underestimated. They must provide increasing levels of assistance forthe design, simulation and analysis of neural networks. With our object-oriented framework (SESAME) we intend to show that very high degrees of transparency, manageability and flexibility forcomplex experiments can be obtained. SESAME's basic design philosophyis inspired by the natural way in which researchers explain their computational models. Experiments are performed with networks of building blocks, which can be extended very easily. Mechanismshave been integrated to facilitate the construction and analysis of very complex architectures.