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Psychology Press Localist Connectionist Approaches to Human Cognition

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Description

Localist Connectionist Approaches to Human Cognition examines a specialised branch of connectionism that has received less attention in cognitive science literature. This volume from Psychology Press explores localist connectionism as a distinct modelling framework, contrasting it with distributed connectionist approaches that rely on distributed hidden-unit representations and back-propagation training methods. The book highlights critical modelling strategies that have proven more applicable to localist systems, providing researchers and cognitive scientists with a comprehensive overview of how localist connectionist models can advance understanding of human cognitive processes. This scientific psychology resource offers valuable insights for those investigating neural network approaches to cognition and their practical applications in cognitive modelling.

Key Features

Psychology Press publication offering expert analysis of localist connectionism within the Scientific Psychology Series.

Explores modelling strategies specifically suited to localist connectionist systems rather than distributed models.

Contrasts localist approaches with distributed connectionist models that use back-propagation learning algorithms.

Provides researchers with theoretical frameworks for understanding human cognition through connectionist principles.

Addresses a relatively neglected area of connectionism with detailed scientific examination and development strategies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 August 1998
Listed Since
23 December 2006

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No barcode data available

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