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4th Neural Computation and Psychology Workshop, London, 9–11 April 1997 [1998]
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Some Advantages of Localist over Distributed Representations
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Distributed Representations in Radial Basis Function Networks
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A unified framework for connectionist models
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A Generative Learning Algorithm that uses Structural Knowledge of the Input Domain yields a better Multi-layer Perceptron
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Improving Learning and Generalization in Neural Networks through the Acquisition of Multiple Related Functions
- 7
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Objective Functions for Topography: A Comparison of Optimal Maps
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Testing Principal Component Representations for Faces
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Selection for Object Identification: Modelling Emergent Attentional Processes in Normality and Pathology
- 10
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Extracting Features from the Short-term Time Structure of Cochlear Filtered Sound
- 11
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Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments
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Models of Coupled Anterior Working Memories for Frontal Tasks
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A Neurobiologically Inspired Model of Working Memory Based on Neuronal Synchrony and Rythmicity
- 14
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Neural Networks and the Emergence of Consciousness
- 15
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Selective memory loss in aphasics: An insight from pseudo-recurrent connectionist networks
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Extracting Semantic Representations from Large Text Corpora
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Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionist Network
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Semantic Representation and Priming in a Self-organizing Lexicon
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Distributed representations and the bilingual lexicon: One store or two?
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Recognising Embedded Words in Connected Speech: Context and Competition
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Dynamic Representation of Structural Constraints in Models of Serial Behaviour
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Representations of Serial Order
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To Repeat or Not to Repeat: The Time Course of Response Suppression in Sequential Behaviour
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A Localist Implementation of the Primacy Model of Immediate Serial Recall
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Connectionist Symbol Processing with Causal Representations
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Separability is a Learner’s Best Friend