. These studies relate the orthographic neighborhood density of letter strings to the amount of global lexical activity in the brain, generated by a hypothetical mental lexicon as speculated in an early paper by [Jacobs, A.M. and Carr, T.H. (1995). Mind mappers and cognitive modelers: Toward crossfertilization, Behav. Brain. Sci. 18 362-363]. The present study uses model-generated stimuli theoretically eliciting graded global lexical activity and relates this activity to activation of lexical processing networks using event-related potentials (ERPs). The results from a lexical decision task provide evidence for an effect of lexicality around 350 ms post-stimulus and also a graded effect of global lexical activity for nonwords around 500 ms post-stimulus. The data are interpreted as reflecting two different decision processes: an identification process based on local lexical activity underlying the 'yes' response to words and a temporal deadline process underlying the 'no' response to nonwords based on global lexical activity.
IntroductionStudies of visual word recognition focusing on lexical access employ a number of variables assumed to influence this process (e.g., word frequency or neighborhood density) in a number of tasks (e.g., lexical or semantic decision, naming, or perceptual identification). One of the most prominent variables is neighborhood density, i.e., the number of orthographic neighbors, which can be generated by changing one letter of a given word, often referred to as the N-metric (Coltheart et al., 1977). When participants make a lexical decision, a standard finding is that responses to words of large neighborhoods (so called high-N words) are faster than to words having small neighborhoods (Andrews, 1989(Andrews, , 1992(Andrews, , 1997; Carreiras et al.,