"“We realized that the neural nets did not encode knowledge necessary to produce an image of a fire truck, only the knowledge necessary to tell fire trucks apart from other classes,” [Yosinski] explained."

This seems markedly different from biological neural networks. Is the difference one of network structure/algorithm or rather the fact that biological neural networks (in human image processing) actually have time and space to learn a lot about each individual image class?