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Neural Computation and Psychology

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Cover of 'Neural Computation and Psychology'

Table of Contents

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    Book Overview
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    Chapter 1 Symbolic and Subsymbolic Approaches to Cognition
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    Chapter 2 Mapping across domains without feedback: A neural network model of transfer of implicit knowledge
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    Chapter 3 Modelling Reaction Times
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    Chapter 4 Chunking: An Interpretation Bottleneck
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    Chapter 5 Learning, Relearning and Recall for Two Strengths of Learning in Neural Networks ‘Aged’ by Simulated Dendritic Attrition
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    Chapter 6 Learning Invariances Via Spatio-Temporal Constraints
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    Chapter 7 Topographic Map Formation as Statistical Inference
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    Chapter 8 Edge Enhancement and Exploratory Projection Pursuit
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    Chapter 9 The “Perceptual Magnet” Effect: A Model Based on Self-Organizing Feature Maps
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    Chapter 10 How Local Cortical Processors that Maximize Coherent Variation could lay Foundations for Representation Proper
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    Chapter 11 Using Complementary Streams in a computer model of the abstraction of Diatonic pitch
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    Chapter 12 Neural Computation and Psychology
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    Chapter 13 Computer Simulation of Gestalt Auditory Grouping by Frequency Proximity
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    Chapter 14 Mechanisms of Visual Search: An Implementation of Guided Search
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    Chapter 15 Categorical Perception as an Acquired Phenomenon: What are the Implications?
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    Chapter 16 A Computational Account of Phonologically Mediated Free Recall
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    Chapter 17 Interactions Between Knowledge Sources in a Dual-route Connectionist Model of Spelling
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Title
Neural Computation and Psychology
Published by
Springer, London, January 1995
DOI 10.1007/978-1-4471-3579-1
ISBNs
978-3-54-019948-9, 978-1-4471-3579-1
Editors

Leslie S. Smith, Peter J. B. Hancock

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