Connectionist theorists have proposed that connection weights are adjusted:

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Connectionist theorists propose that connection weights are adjusted by learning algorithms driven entirely by local forces. This means that the adjustments are made based on the neural activity of adjacent neurons and not by a central processor or randomly. While genetics may influence the development of neural connections, it is not the primary mechanism for adjusting connection weights in a fully developed neural network.

Connectionist Theorists Have Proposed That Connection Weights Are Adjusted