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Connectionist Models of Learning, Development and Evolution : Proceedings of the Sixth Neural Computation and Psychology Workshop, Liege, Belgium, 16-18 September 2000 - Robert M. French

Connectionist Models of Learning, Development and Evolution

Proceedings of the Sixth Neural Computation and Psychology Workshop, Liege, Belgium, 16-18 September 2000

By: Robert M. French (Editor), Jacques P. Sougne (Editor)

Paperback

Published: 23rd March 2001
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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.

Applying Neuroanatomical Distinctions to Connectionist Cognitive Modellingp. 3
Pseudopatterns and Dual-Network Memory Models: Advantages and Shortcomingsp. 13
A Learning Algorithm for Synfire Chainsp. 23
Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humansp. 33
A Simple Model Exhibiting Scalar Timingp. 43
Modularity and Specialized Learning in the Organization of Behaviourp. 53
Modeling Modulatory Aspects in Association Processesp. 63
Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networksp. 73
A Biologically Plausible Maturation of an ART Networkp. 83
Developing Knowledge about Living Things: A Connectionist Investigationp. 95
Paying Attention to Relevant Dimensions: A Localist Approachp. 105
Coordinating Multiple Sensory Modalities While Learning to Reachp. 113
Modelling Cognitive Development with Constructivist Neural Networksp. 123
Learning Action Affordances and Action Schemasp. 133
A Three-Layer Configural Cue Model of Category Learning Ratesp. 143
A Revival of Turing's Forgotten Connectionist Ideas: Exploring Unorganized Machinesp. 153
Visual Crowding and Category-Specific Deficits: A Neural Network Modelp. 163
Implicit Learning of Regularities in Western Tonal Music by Self-Organizationp. 175
Rules vs. Statistics in Implicit Learning of Biconditional Grammarsp. 185
Hidden Markov Model Interpretations of Neural Networksp. 197
A Connectionist Model of Person Perception and Stereotype Formationp. 209
Learning about an Absent Cause: Discounting and Augmentation of Positively and Independently Related Causesp. 219
Exploring the Baldwin Effect in Evolving Adaptable Control Systemsp. 231
Borrowing Dynamics from Evolution: Association using Catalytic Network Modelsp. 243
Evolving Modular Architectures for Neural Networksp. 253
Evolution, Development and Learning - A Nested Hierarchy?p. 263
Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used?p. 273
Associative Computation and Associative Predictionp. 283
The Development of Small-World Semantic Networksp. 293
What is the Dimensionality of Human Semantic Space?p. 303
Author Indexp. 313
Subject Indexp. 315
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9781852333546
ISBN-10: 1852333545
Series: World Bibliographical Series
Audience: General
Format: Paperback
Language: English
Number Of Pages: 322
Published: 23rd March 2001
Publisher: Springer London Ltd
Country of Publication: US
Dimensions (cm): 23.27 x 15.49  x 2.08
Weight (kg): 0.52