TESTING COMPUTATIONAL ACCOUNTS OF RESPONSE CONGRUENCY IN LEXICAL DECISION

摘要

Response congruency effects occur when responses to a target stimulus are faster and/or more accurate if the correct response to that target is the same as (what would be) the correct response to a preceding prime stimulus (relative to the situation where the correct response to the prime and target differs). Computational models of lexical access are challenged by recent findings of a response congruency effect in masked primed lexical decision. Two different types of models, the activation-based Spatial Coding Model and the probability-based Bayesian Reader are reviewed. We show that neither model accommodates the empirical data. However, replacing the homogeneous inhibition in the lexical component of the Spatial Coding model with selective inhibition enables the model to account for the response congruency effect while also providing an excellent account of other masked form priming data.