Titlebook: Connectionist Models in Cognitive Neuroscience; The 5th Neural Compu Dietmar Heinke,Glynn W. Humphreys,Andrew Olson Conference proceedings

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Competitive Queuing and Spelling: Modelling Acquired Dysgraphiality of a competitive queuing model of spelling to reproduce a novel pattern of acquired dysgraphia which is characterised by reduced activation of lexical-orthographic representations. The model is able to account for some aspects of performance reasonably well. For instance, better spelling of let

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Neuropsychologically plausible sequence generation in a multi-layer network model of spellingre. The approach is applied to a model of output processes in spelling, and we show that it provides an explanation for so-called ‘Graphemic Buffer Disorder’. We describe a patient with an apparently novel dysgraphia affecting the start of words, and show that this can also be explained in terms of

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Connectionist Dissociations, Confounding Factors and Modularityociations and what they really mean, especially when connectionist or neural network models are involved. In this paper I attempt to clarify matters by looking at the subject from the point of view of patterns of learning rates in neural network models.

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Short Term Memory and Selection Processes in a Frontal-Lobe Modele selection. In the model, reverberation states are sustained after stimulus offset, due to loops of recurrent excitation in neural cell assemblies and lateral inhibition is necessary to block an uncontrolled spread of activation. At high levels of inhibition the system performs response selection,

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A Connectionist Model for Frequency Effects in Recall and Recognitionion from these findings in from of a high frequency advantage of cues in recognition, an advantage for recognition of words over non-words, and a lack of frequency effects in mixed list of recall. A distributed connectionist memory model consisting of two mechanism sensitive to frequency is suggeste

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