Bridging metabolic and computational accounts of efficient information processing.

Although abstract computational models in neuroscience omit biochemical detail, metabolic considerations still apply through abstract measures of efficient information processing. Against Haueis and Colaço's claim that such measures are too generic to discriminate among competing models, I argue that coding efficiency and related measures are commonly applied to evaluate and generate specific cognitive models.