Speaking of supercomputing, the connectivity of the brain compared to modern computer architectures is an interesting fact. Needless to say, this tells us that we have an insufficient understanding of the algorithms required for brain-like processing - but a more interesting question is whether the connectivity in itself adds a new complexity to the system that postpone the arrival time of brain-comparabel hardware. In other words, is the superscalar vector processing nature of modern supercomputers so decisive a simplification of the processing model that the hardware capacity of such a system simply is not comparable to brain capacity ? Among the questions implicitly asked: What is the memory/processing trade-off of the brain? What is the memory bandwidht?