This site has been permanently archived. This is a static copy provided by the University of Southampton.
TY - UNPB N1 - Submitted to Psychological Review ID - cogprints4764 UR - http://cogprints.org/4764/ A1 - Moscoso del Prado Martin, Dr Fermin A1 - Kostic, Prof Aleksandar A1 - Filipovic-Djurdjevic, Dusica TI - The Missing Link between Morphemic Assemblies and Behavioral Responses:a Bayesian Information-Theoretical model of lexical processing Y1 - 2006/03// N2 - 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. AV - public KW - Word assemblies KW - Bayesian model KW - Gaussian mixture KW - Bayesian KW - Hebbian KW - Polysemy KW - Homonymy KW - Inflectional morphology KW - Co-occurrence vectors ER -