Even when a neural network is not biologically plausible, it may still be more biologically plausible than classical models. Neural networks certainly seem closer than Turing-style models, in both details and spirit, to neurophysiological description. Many cognitive scientists worry that CCTM reflects a misguided attempt at imposing the architecture of digital computers onto the brain. Some doubt that the brain implements anything resembling digital computation, i.e., computation over discrete configurations of digits (Piccinini and Bahar 2013). Others doubt that brains display clean Turing-style separation between central processor and read/write memory (Dayan 2009). Neural networks fare better on both scores: they do not require computation over discrete configurations of digits, and they do not postulate a clean separation between central processor and read/write memory.