Ebook: Connectionist Models of Learning, Development and Evolution: Proceedings of the Sixth Neural Computation and Psychology Workshop, Liège, Belgium, 16–18 September 2000

Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena.
With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections:
The neural basis of cognition
Development and category learning
Implicit learning
Social cognition Evolution
Semantics
Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.

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Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena.
With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections:
The neural basis of cognition
Development and category learning
Implicit learning
Social cognition Evolution
Semantics
Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.
Content:
Front Matter....Pages I-XVI
Front Matter....Pages 1-1
Applying Neuroanatomical Distinctions to Connectionist Cognitive Modelling....Pages 3-12
Pseudopatterns and dual-network memory models: Advantages and shortcomings....Pages 13-22
A Learning Algorithm for Synfire Chains....Pages 23-32
Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans....Pages 33-42
A Simple Model Exhibiting Scalar Timing....Pages 43-52
Modularity and Specialized Learning in the Organization of Behaviour....Pages 53-62
Modeling Modulatory Aspects in Association Processes....Pages 63-72
Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks....Pages 73-82
A Biologically Plausible Maturation of an ART Network....Pages 83-91
Front Matter....Pages 93-93
Developing Knowledge about Living Things: A Connectionist Investigation....Pages 95-104
Paying Attention to Relevant Dimensions: A Localist Approach....Pages 105-112
Coordinating Multiple Sensory Modalities While Learning to Reach....Pages 113-122
Modelling Cognitive Development with Constructivist Neural Networks....Pages 123-132
Learning Action Affordances and Action Schemas....Pages 133-142
A Three-Layer Configural Cue Model of Category Learning Rates....Pages 143-152
A Revival of Turing’s Forgotten Connectionist Ideas: Exploring Unorganized Machines....Pages 153-162
Visual Crowding and Category-Specific Deficits: a Neural Network Model....Pages 163-171
Front Matter....Pages 173-173
Implicit Learning of Regularities in Western Tonal Music by Self-Organization....Pages 175-184
Rules vs. Statistics in Implicit Learning of Biconditional Grammars....Pages 185-196
Hidden Markov Model Interpretations of Neural Networks....Pages 197-206
Front Matter....Pages 207-207
A Connectionist Model of Person Perception and Stereotype Formation....Pages 209-218
Learning about an Absent Cause: Discounting and Augmentation of Positively and Independently Related Causes....Pages 219-228
Front Matter....Pages 229-229
Exploring the Baldwin Effect in Evolving Adaptable Control Systems....Pages 231-242
Borrowing Dynamics from Evolution: Association using Catalytic Network Models....Pages 243-252
Evolving Modular Architectures for Neural Networks....Pages 253-262
Evolution, Development and Learning — a Nested Hierarchy?....Pages 263-270
Front Matter....Pages 271-271
Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used?....Pages 273-282
Associative Computation and Associative Prediction....Pages 283-292
The Development of Small-world Semantic Networks....Pages 293-302
What is the Dimensionality of Human Semantic Space?....Pages 303-311
Back Matter....Pages 313-322

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Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena.
With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections:
The neural basis of cognition
Development and category learning
Implicit learning
Social cognition Evolution
Semantics
Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.
Content:
Front Matter....Pages I-XVI
Front Matter....Pages 1-1
Applying Neuroanatomical Distinctions to Connectionist Cognitive Modelling....Pages 3-12
Pseudopatterns and dual-network memory models: Advantages and shortcomings....Pages 13-22
A Learning Algorithm for Synfire Chains....Pages 23-32
Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans....Pages 33-42
A Simple Model Exhibiting Scalar Timing....Pages 43-52
Modularity and Specialized Learning in the Organization of Behaviour....Pages 53-62
Modeling Modulatory Aspects in Association Processes....Pages 63-72
Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks....Pages 73-82
A Biologically Plausible Maturation of an ART Network....Pages 83-91
Front Matter....Pages 93-93
Developing Knowledge about Living Things: A Connectionist Investigation....Pages 95-104
Paying Attention to Relevant Dimensions: A Localist Approach....Pages 105-112
Coordinating Multiple Sensory Modalities While Learning to Reach....Pages 113-122
Modelling Cognitive Development with Constructivist Neural Networks....Pages 123-132
Learning Action Affordances and Action Schemas....Pages 133-142
A Three-Layer Configural Cue Model of Category Learning Rates....Pages 143-152
A Revival of Turing’s Forgotten Connectionist Ideas: Exploring Unorganized Machines....Pages 153-162
Visual Crowding and Category-Specific Deficits: a Neural Network Model....Pages 163-171
Front Matter....Pages 173-173
Implicit Learning of Regularities in Western Tonal Music by Self-Organization....Pages 175-184
Rules vs. Statistics in Implicit Learning of Biconditional Grammars....Pages 185-196
Hidden Markov Model Interpretations of Neural Networks....Pages 197-206
Front Matter....Pages 207-207
A Connectionist Model of Person Perception and Stereotype Formation....Pages 209-218
Learning about an Absent Cause: Discounting and Augmentation of Positively and Independently Related Causes....Pages 219-228
Front Matter....Pages 229-229
Exploring the Baldwin Effect in Evolving Adaptable Control Systems....Pages 231-242
Borrowing Dynamics from Evolution: Association using Catalytic Network Models....Pages 243-252
Evolving Modular Architectures for Neural Networks....Pages 253-262
Evolution, Development and Learning — a Nested Hierarchy?....Pages 263-270
Front Matter....Pages 271-271
Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used?....Pages 273-282
Associative Computation and Associative Prediction....Pages 283-292
The Development of Small-world Semantic Networks....Pages 293-302
What is the Dimensionality of Human Semantic Space?....Pages 303-311
Back Matter....Pages 313-322
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