In a popular type of neural network,the strengths of the connections among units that are active together are increased by mathematically increasing their weights.Such a network is said to operate according to:

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The given description matches with Hebb's rule, which states that the connections between neurons are strengthened when they are active together. This is also known as associative learning, where the strength of the connections is based on the correlation between the inputs and outputs. Back-propagation is a learning algorithm used in artificial neural networks to update the weights, but it is not specifically related to the given description. Drive reduction is a theory of motivation, and GOFAI refers to a specific type of artificial intelligence that relies on rule-based systems.

In a Popular Type of Neural Network,the Strengths of the Connections