No offense, but it seems like you didn't click through. From the abstract: > here we take a classical microprocessor as a model organism, and use our ability

No offense, but it seems like you didn't click through. From the abstract: > here we take a classical microprocessor as a model organism, and use our ability to perform arbitrary experiments on it to see if popular data analysis methods from neuroscience can elucidate the way it processes information. Microprocessors are among those artificial information processing systems that are both complex and that we understand at all levels, from the overall logical flow, via logical gates, to the dynamics of transistors. We show that the approaches reveal interesting structure in the data but do not meaningfully describe the hierarchy of information processing in the microprocessor. The idea is to apply the modern neuroscience approach to a microprocessor to see what level of understand of the microprocessor is extracted. tl;dr: The high-level "meaning" of the processor's design is not extracted. The purpose seems to be to examine the inherent limitations of modern neuroscience by applying it to a design that we do understand quite well apart from neuroscience, something we ourselves designed.