I'm an engineer, interested in mental machinery, to imitate cognitive capabilities of the human mind into primitive artificial models. In this case, cognitive neuroscience (CogN) is something, apparently, relevant and important field.But I have no clear idea about the differences between computational neuroscience (CompN) and systems neuroscience (SysN) and their relevance to my target. In my view, these two topics are very similar (if not the same!), because one need to analyze the brain and its systematic functionality by computational approaches. Furthermore, it is inevitable to consider system-driven perspective to be able to present computational interpretation for neural systems.So, what is the subtle difference between SysN and CompN?Which one should be taken into account within (in coordination with CogN) to studying of the mental functionality of the brain?ThanksEDIT: Someone else's answer to the first question, does which sound like a seminal viewpoint:I feel the question is ill-posed. Dont pick a field to study. Pick  a problem to study. Based on the problem selected one or another field  may be more relevant for your work, but it is unlikely that any  interesting question about cognition will fall wholly within the  domain of any one classically defined area of neuroscience.
What's the difference between computational neuroscience and systems neuroscience?
cognitive neuroscience;computational modeling