How is a piece of knowledge represented within a connectionist model like parallel distributed processing?

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In connectionist models like parallel distributed processing, a piece of knowledge is represented by a pattern of activation across an entire network, rather than by a single engram or neuron firing. The activation of multiple neurons and connections within the network creates a distributed representation of the knowledge, allowing for flexibility and generalization in learning and processing.

How Is a Piece of Knowledge Represented Within a Connectionist