Object-oriented language for neural network simulation

Abstract

This paper describes an object oriented language for the simulation of neural networks on supercomputers. It is based on the general framework of Parallel Distributed Processing (PDP) proposed by D.E. Rumelhart and J.L. McClelland. The purpose of the design of our object oriented language is to provide a tool for the user to describe his network connections with ease. A preprocessor will translate the description into the source code of a high level language suitable for numerical computation. The latter will be compiled and executed on a supercomputer. In this way, it will inherit the user friendliness of P3 and at the same time bypass its number crunching bottleneck.