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.
Author(s): G. Houghton
Edition: New edition
Year: 2005
Language: English
Pages: 488
Book Cover......Page 1
Title......Page 4
Copyright......Page 5
Contents......Page 6
List of contributors vii......Page 8
Series preface......Page 10
1. Introduction to connectionist models in cognitive psychology......Page 12
2. Connectionist models of basic human learning processes......Page 56
3. Connectionist neuropsychology......Page 94
4. Learning involves attention......Page 124
5. The division of labor between the neocortex and hippocampus......Page 154
6. Category-specific semantic memory impairments......Page 186
7. Connectionist models of short-term memory for serial order......Page 226
8. Serial order in behaviour: Evidence from performance slips......Page 252
9. Computational models of visual selective attention......Page 284
10. The control of routine action: Modelling normal and impaired functioning......Page 324
11. Integrating multiple cues in language acquisition......Page 358
12. Language production, lexical access, and aphasia......Page 384
13. Computational models of reading......Page 414
Author index......Page 456
Subject index......Page 468
