The most remarkable thing about the brain is that it wasn't designed. As a result, how the brain works is largely an irrelevant question.
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Brain architecture is the result of an optimization process. So what really matters for reproducibility is the optimization problem itself.
The hypothesis space, the objective function(s). Everything else is noise.
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Essentially: it doesn't matter what the answer is, bc one can mechanically derive it once the question has been asked. What matters is the Q
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Inverse optimal control?
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When the objective function is as broad as fitness maximization, the dynamic environment may be more important
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In other words, equifinality in phenotype optima may result from niche-filling. For example: http://www.nature.com/nature/journal/v509/n7499/full/nature13272.html …
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Niche partitioning may help explain phenomena like parallel and convergent evolution
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