@unpublished{cogprints4764, month = {March}, title = {The Missing Link between Morphemic Assemblies and Behavioral Responses:a Bayesian Information-Theoretical model of lexical processing}, author = {Dr Fermin Moscoso del Prado Martin and Prof Aleksandar Kostic and Dusica Filipovic-Djurdjevic}, year = {2006}, note = {Submitted to Psychological Review}, keywords = {Word assemblies, Bayesian model, Gaussian mixture, Bayesian, Hebbian, Polysemy, Homonymy, Inflectional morphology, Co-occurrence vectors}, url = {http://cogprints.org/4764/}, abstract = {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.} }