The document discusses how the brain uses deep learning techniques similar to modern neural networks. It argues that the neocortex uses unsupervised learning like deep belief networks for pattern recognition. The basal ganglia use reinforcement learning like LSTM to learn from rewards and punishments via dopamine signals. Together, these deep learning techniques in different brain areas allow for hierarchical feature extraction, goal-directed learning of strategies and plans, and reinforcement of successful behaviors.