%A Dr Fermin Moscoso del Prado Martin %A Prof Aleksandar Kostic %A Dusica Filipovic-Djurdjevic %O Submitted to Psychological Review %T The Missing Link between Morphemic Assemblies and Behavioral Responses:a Bayesian Information-Theoretical model of lexical processing %X We present the Bayesian Information-Theoretical (BIT) model of lexical processing: A mathematical model illustrating a novel approach to the modelling of language processes. The model shows how a neurophysiological theory of lexical processing relying on Hebbian association and neural assemblies can directly account for a variety of effects previously observed in behavioural experiments. We develop two information-theoretical measures of the distribution of usages of a morpheme or word, and use them to predict responses in three visual lexical decision datasets investigating inflectional morphology and polysemy. Our model offers a neurophysiological basis for the effects of morpho-semantic neighbourhoods. These results demonstrate how distributed patterns of activation naturally result in the arisal of symbolic structures. We conclude by arguing that the modelling framework exemplified here, is a powerful tool for integrating behavioural and neurophysiological results. %D 2006 %K Word assemblies, Bayesian model, Gaussian mixture, Bayesian, Hebbian, Polysemy, Homonymy, Inflectional morphology, Co-occurrence vectors %L cogprints4764