Biological communication and information systems have evolved over millions of years. Although they have been optimized under different design criteria than recent man-made technical communication systems, both are subject to the same information theoretic principles.

We want to design channel models to describe the information flow and information processing by neural networks. Massive parallelism, quantization, and information fusion are principles which have to be included in such models, as inspired by the biological ideal.

Our research has two main objectives:

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Anke Schmeink, Marc Spehr.

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