The Hebbian algorithm is a fascinating concept in neural networks often summarized by the phrase cells that fire together wire together. This principle suggests that the connections between neurons strengthen when they are activated simultaneously leading to more efficient paths in the neural network. When certain paths become inactive or less frequently used the Hebbian learning algorithm prunes these connections effectively optimizing the network's structure. This pruning not only enhances the efficiency of the network by reducing unnecessary complexity but also contributes to lower energy consumption as fewer active connections result in less computational load. In essence this process allows the neural network to become more streamlined and focused on the most relevant and frequently used pathways improving overall performance.