CONF Thimm-94.1/IDIAP Modular Object-Oriented Neural Network Simulators and Topology Generalizations Thimm, Georg Grau, R. Fiesler, Emile Marinaro, Maria Ed. Morasso, Pietro G. Ed. high order neural network neural network connectivity neural network simulator neural network topology object-oriented ontogenic neural network OpenSimulator Sesame Sigma-Pi neural network EXTERNAL http://publications.idiap.ch/attachments/reports/1994/94-03.pdf PUBLIC Proceedings of the International Conference on Artificial Neural Networks (ICANN 94) Sorrento, Italy 1 747-750 3-540-19887-3 1994 Springer-Verlag London, UK A growing number of neural networks are based on topologies that deviate from the standard fixed first order fully interlayer connected ones. Although there currently exist a variety of neural network simulators, few are flexible enough to facilitate substantial topology alterations. Some novel modular object-oriented neural network simulators promise modifications and extensions to be made with minimal effort. Two of these simulators are described and compared: OpenSimulator (version 3.1) and Sesame (version 4.5). An extension of these simulators to high-order and ontogenic neural networks is outlined.