Modelling Lexical Decision: Who needs a lexicon?

The problem of modelling lexical decision in connectionist models is discussed. It is shown how lexical decision can be performed by a simple neural network with no explicit lexicon and no recurrent connections. We also see how simulated reaction times can be extracted from such systems that are in broad agreement with various experimental data concerning semantic and associative priming.