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This article examines three candidate cases of noncausal explanation in computational neuroscience. I argue that there are instances of efficient coding explanation that are strongly analogous to examples of noncausal explanation in physics and biology, as presented by Batterman, Woodward, and Lange. By integrating Lange’s and Woodward’s accounts, I offer a new way to elucidate the distinction between causal and noncausal explanation, and to address concerns about the explanatory sufficiency of nonmechanistic models in neuroscience. I also use this framework to (...) 



Statistical reasoning is an integral part of modern scientific practice. In The Seven Pillars of Statistical Wisdom Stephen Stigler presents seven core ideas, or pillars, of statistical thinking and the historical developments of each of these pillars, many of which were concurrent with developments in biology. Here we focus on Stigler’s fifth pillar, regression, and his discussion of how regression to the mean came to be thought of as a solution to a challenge for the theory of natural selection. Stigler (...) 