BENGALURU: A new study from IISc’s Centre for Neuroscience (CNS) has explored how well deep neural networks — machine learning systems inspired by the network of brain cells or neurons in the human brain — compare to the human brain when it comes to visual perception. Pointing out that deep neural networks can be trained to perform specific tasks, researchers say that they have played a pivotal role in helping scientists understand how our brains perceive the things that we see. “Although deep networks have evolved significantly over the past decade, they are still nowhere close to performing as well as the human brain in perceiving visual cues. In a recent study, SP Arun, associate professor at CNS, and his team have compared various qualitative properties of these deep networks with those of the human brain,” IISc said in a statement.