Big-data approaches risk theoretical myopia

Hypothesis-free big-data and machine-learning approaches in neuroscience, while powerful for classification problems, are essentially the mother of all regressions and risk making the field theoretically myopic—yielding only one form of answer and blinding researchers to theoretical alternatives—and ultimately require reinventing hypothesis-driven 'normal science' to interpret the model's parameters; engineering is thereby superseding science.