title: Testing computational models of letter perception with item-level event-related potentials.
abstract: In the present study, online measures of letter identification were used to test computational models of letter perception. Event-related potentials (ERPs) were recorded to letters and pseudoletters revealing a transition from feature analysis to letter identification in the 100-200-ms time window. Measures indexing this transition were then computed at the level of individual letters. Simulations with several versions of an interactive-activation model of letter perception were fitted with these item-level ERP measures. The results are in favour of a model of letter perception with feedforward excitatory connections from the feature to the letter levels, lateral inhibition at the letter level, and excitatory feedback from the letter to the feature levels.
authors.affiliation: Laboratoire de Psychologie Cognitive-CNRS, Universite de Provence, Marseille, France. arnaud.rey@univ-provence.fr
authors.forename: Arnaud
authors.initials: A
authors.lastname: Rey
authors.forename: Stéphane
authors.initials: S
authors.lastname: Dufau
authors.forename: Stéphanie
authors.initials: S
authors.lastname: Massol
authors.forename: Jonathan
authors.initials: J
authors.lastname: Grainger
mesh_terms: D000704:Analysis of Variance; D001931:Brain Mapping; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008960:Models, Psychological; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods; D011930:Reaction Time / Q000502:physiology; D013997:Time Factors; D055815:Young Adult