During recent years computers have become a central tool in brain research. On one hand the growing complexitiy of tomographic devices forces us to use reconstruction techniques of highest sophistication, which reach the limits of present computational power. On the other hand the modelling of the brain itself is becoming more and more detailed due to the enormous gain of insight of the last years. Large scale simulations of neural networks have recently even been used as benchmarks for parallel computing.

In this workshop we wanted to bring together various communities interested in supercomputing in brain research: Applied mathematicians who understand how to reconstruct tomographic data, experts on neural networks, including statistical physicists, neurophysiologists who simulate neural models and discuss data handling and evaluation problems. The aim was to form a bridge between various levels of brain modelling and tomographically measurable information.

Organizing Committee:

H.J.Herrmann        D.Wolf            E.Pöppel
    HLRZ             HLRZ       Forschungszentrum Jülich

Proceedings:

A book containing all contributions is available from the publisher World Scientific Publishing Co. Pte. Ltd., ISBN 9810222505.