 Chirimuuta and Ross each appeal to related resources from computational neuroscience to illustrate the applicability of Batterman’s minimal model explanation strategy. Ross appeals to “canonical models”, which represent “shared qualitative features of a number of distinct neural systems” (2015: 39). Her central example is the derivation of the Ermentrout-Kopell model of class I neuron excitability, which uses “mathematical abstraction techniques” to “reduce models of molecularly distinct neural systems to a single … canonical model”. Such a model “explains why molecularly diverse neural systems all exhibit the same qualitative behavior”, (2015: 41) clearly a Batterman second-type why-question. Chirimuuta’s resource is “canonical neural computations” (CNCs): 