Connectionist Models in Cognitive Psychology [Paperback]

Connectionist Models in Cognitive Psychologyis 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.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 StudylÃ-