title: The Missing Link between Morphemic Assemblies and Behavioral Responses:a Bayesian Information-Theoretical model of lexical processing creator: Moscoso del Prado Martin, Dr Fermin creator: Kostic, Prof Aleksandar creator: Filipovic-Djurdjevic, Dusica subject: Neurolinguistics subject: Statistical Models subject: Language subject: Neural Modelling subject: Computational Linguistics subject: Computational Neuroscience subject: Semantics subject: Morphology subject: Machine Learning subject: Psycholinguistics subject: Cognitive Psychology subject: Neural Nets subject: Artificial Intelligence description: 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. date: 2006-03 type: Other type: NonPeerReviewed format: application/pdf identifier: http://cogprints.org/4764/1/version2.pdf identifier: Moscoso del Prado Martin, Dr Fermin and Kostic, Prof Aleksandar and Filipovic-Djurdjevic, Dusica (2006) The Missing Link between Morphemic Assemblies and Behavioral Responses:a Bayesian Information-Theoretical model of lexical processing. (Unpublished) relation: http://cogprints.org/4764/