The assumption that the association between two neurons becomes stronger if these two neurons are active at the same time forms a partial basis for which approach to cognition?

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The assumption that the association between two neurons becomes stronger if these two neurons are active at the same time is a central concept in the connectionist approach to cognition, also known as neural network or parallel distributed processing approach. This approach bases its models of cognition on the functioning of interconnected networks of simple processing units, such as neurons or nodes, that are activated through exposure to input stimuli and that learn and reorganize through the modification of their connection strengths. Thus, in the connectionist approach, cognition is seen as the emergent product of the distributed and parallel processing of information across these interconnected nodes, rather than as a set of discrete and modular functions.

The Assumption That the Association Between Two Neurons Becomes Stronger