Abstract
Commonly in neuroscientific research today, scientists build models that can perform cognitive capacities and compare their activity with neuronal activity, with the purpose of learning about brain computations. These models are constrained only by the task they must perform. Therefore, it is a worthwhile scientific finding that the workings of these models are similar to neuronal activity. This is a promising method to understanding cognition. However, I argue that it is likely to succeed in explaining how cognitive capacities are performed only when the capacities’ etiology is considered while choosing the modeled capacities. Otherwise, it may lead scientific practice astray.
