Abstract
Central to Seidenberg and McClelland's (1989) parallel distributed processing (PDP) model's account of lexical decision is the assumption that performance is determined by the amount of overlap in the distribution of the orthographic error scores between words and nonwords. The present experiment demonstrates lexical decision performance that is independent of the distribution of orthographic error scores between words and nonwords. Furthermore, the orthographic error scores from the model capture no variance in the reaction time data to words, even in a condition in which the orthographic overlap between words and nonwords is minimal
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