Neural Computing and the GALATEA Project

  • Philip Treleaven
Part of the Lecture Notes in Computer Science book series (LNCS, volume 506)


This paper reviews the fundamentals of neural computing which includes: neural network models, neural network programming environments, and neurocomputer, specialised hardware for neural networks.

It then describes the ESPRIT II GALATEA project, and its predecessor PYGMALION, which provide the focus of neural computing research in the European Community. PYGMALION has developed a general programming environment for neural networks, and the goal of GALATEA is to build upon this environment, to produce a comprehensive neurocomputing system. This neurocomputing system will comprise: a sophisticated programming environment capable of mapping a network on to a range of conventional computers, including parallel machines; a novel general-purpose neurocomputer, and an integral silicon compiler for translating a network into VLSI chips.


Neural Network Neural Network Model Parallel Machine Neural Computing Artificial Neuron 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Philip Treleaven
    • 1
  1. 1.Department of Computer ScienceUniversity College LondonUK

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