“…Deep neural architectures (Fukushima and Miyake, 1980;Hinton et al, 2006) have reached a level comparable to human performance in certain pattern recognition tasks (Krizhevsky et al, 2012). Also in robotic applications, deep networks gain more and more importance, from state abstraction to seamless end-to-end control in complex repetitive tasks (Levine et al, 2016). Moreover, it has been speculated whether deep feed-forward networks can account for some aspects of information processing in the mammalian visual system (Serre et al, 2007), which is not to say that the brain is nothing but a collection of deep neural networks.…”