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Poster De Conférence Année : 2008

Testing computational models of letter perception with item-level ERPs

Résumé

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‑ to 200‑msec 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 favor 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.
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Dates et versions

hal-03808512 , version 1 (10-10-2022)

Identifiants

  • HAL Id : hal-03808512 , version 1

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Arnaud R Rey, Stéphane Dufau, Stéphanie Massol, Jonathan Grainger. Testing computational models of letter perception with item-level ERPs. 49th Annual Meeting of the Psychonomic Society, Nov 2008, Chicago, Illinois, United States. ⟨hal-03808512⟩
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