 A variety of approaches have been used to investigate the plausibility of deep learning models from a neurobiological perspective.On the one hand, several variants of the backpropagation algorithm have been proposed in order to increase its processing realism.Other researchers have argued that unsupervised forms of deep learning, such as those based on hierarchical generative models and deep belief networks, may be closer to biological reality.