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Informationen zum Autor George Houghton - University of Wales, Bangor, UK Klappentext Connectionist Models in Cognitive Psychology is a state-of-the-art review of neural network modelling in core areas of cognitive psychology including: memory and learning, language (written and spoken), cognitive development, cognitive control, attention and action. The chapters discuss neural network models in a clear and accessible style, with an emphasis on the relationship between the models and relevant experimental data drawn from experimental psychology, neuropsychology and cognitive neuroscience. These lucid high-level contributions will serve as introductory articles for postgraduates and researchers whilst being of great use to undergraduates with an interest in the area of connectionist modelling. Zusammenfassung A state-of-the-art review of neural network modelling in core areas of cognitive psychology including: memory and learning, language (written and spoken), cognitive development, cognitive control, attention and action. Inhaltsverzeichnis George Houghton, Introduction. Section 1: Learning. David R. Shanks, Connectionist Models of Basic Human Learning Processes. John A. Bullinaria, Connectionist Neuropsychology. John K. Kruschke, Learning Involves Attention. Section 2: Memory. Randall C. O'Reilly, The Division of Labor between the Neocortex and Hippocampus. E. Charles Leek, Category-specific Semantic Memory Impairments: What Can Connectionist Simulations Reveal about the Organisation of Conceptual Knowledge? Mike Page, Connectionist Models of Short-term Memory for Serial Order. David W. Glasspool, Serial Order in Behaviour: Evidence from Performance Slips. Section 3: Attention and Cognitive Control. Dietmar Heinke and Glyn W. Humphreys, Computational Models of Visual Selective Attention: A Review. Richard P. Cooper, The Control of Routine Action: Modelling Normal and Impaired Functioning. Section 4: Language Processes. Morten H. Christiansen and Suzanne Curtin, Integrating Multiple Cues in Language Acquisition: A Computational Study of Early Infant Speech Segmentation. Gary S. Dell, Language Production, Lexical Access, and Aphasia. Marco Zorzi, Computational Models of Reading. ...
List of contents
George Houghton, Introduction. Section 1: Learning. David R. Shanks, Connectionist Models of Basic Human Learning Processes. John A. Bullinaria, Connectionist Neuropsychology. John K. Kruschke, Learning Involves Attention. Section 2: Memory. Randall C. O'Reilly, The Division of Labor between the Neocortex and Hippocampus. E. Charles Leek, Category-specific Semantic Memory Impairments: What Can Connectionist Simulations Reveal about the Organisation of Conceptual Knowledge? Mike Page, Connectionist Models of Short-term Memory for Serial Order. David W. Glasspool, Serial Order in Behaviour: Evidence from Performance Slips. Section 3: Attention and Cognitive Control. Dietmar Heinke and Glyn W. Humphreys, Computational Models of Visual Selective Attention: A Review. Richard P. Cooper, The Control of Routine Action: Modelling Normal and Impaired Functioning. Section 4: Language Processes. Morten H. Christiansen and Suzanne Curtin, Integrating Multiple Cues in Language Acquisition: A Computational Study of Early Infant Speech Segmentation. Gary S. Dell, Language Production, Lexical Access, and Aphasia. Marco Zorzi, Computational Models of Reading.
Report
This volume will make a valuable contribution to the literature. The authors are major contributors to their respective fields and a good range of problems is covered, providing an accessible and thoroughly up-to-date overview. - Dr Rob Ellis, Principal Lecturer in Psychology, University of Plymouth
