In a Feature-Net Model, Knowledge of Spelling Patterns

In a feature-net model, knowledge of spelling patterns

A) can influence the perception of whole words but not the perception of single letters or bigrams.
B) is distributed across the model, and therefore the knowledge is only detectable in the overall functioning of the network.
C) is locally represented, allowing the network to draw inferences about partially viewed stimuli.
D) is overshadowed by the parallel processing employed by the net.