@unpublished{cogprints4764,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.}
}

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