Introduction to connectionist modelling of cognitive processes
著者
書誌事項
Introduction to connectionist modelling of cognitive processes
Oxford University Press, 1998
- : hbk
- : pbk
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注記
System requirements for accompanying computer disk: Macintosh; Windows 95
Includes bibliographical references and indexes
Some paperback book (Reprinted 2007) does not have "computer disk"
内容説明・目次
- 巻冊次
-
: pbk ISBN 9780198524267
内容説明
Connectionism is a way of modelling how the brain uses streams of sensory inputs to understand the world and produce behaviour, based on cognitive processes which actually occur. This book describes the principles, and their application to explaining how the brain produces speech, forms memories and recognises faces, how intellect develops, and how it deteriorates after brain damage. Part I explores the basic concepts, the architecture and properties of the most
common connectionist models, and how connectionist learning rules work. Part II describes and evaluates connectionist models of a variety of cognitive processes, including the learning and production of speech, the formation of episodic memories and visual representations, the development of cognitive
processes in infancy, and their breakdown in brain-damaged patients. The models range from some well-known classics to others at the frontiers of current research. Each chapter ends with a list of recommended further reading. Also included is a disk with the software for running tlearn, a user-friendly simulator for connectionist modelling of cognitive processes, which will run on either PCs or Macs. The software includes exercises to introduce the simulator, and working
copies to explore some of the models described in the text. A reference handbook for tlearn is included to enable readers to build their own models. The authors, as well as being leading researchers in their field, have extensive experience of teaching connectionism to undergraduates. They have written the first
comprehensive, up-to-date textbook on connectionist modelling, designed specifically for advanced undergraduates, and accessible to those with only limited knowledge of mathematics. This will be an essential introductory text for all students in psychology or cognitive science taking a course on connectionism.
目次
- Introduction
- 1. The basics of connectionist information processing
- 2. The appeal of parallel distributed processing for modelling cognition
- 3. Pattern association
- 4. Auto association
- 5. Training a multi-layer network with an error signal: hidden units and backpropagation
- 6. Competitive networks
- 7. Recurrent networks
- 8. Reading aloud
- 9. Language acquisition
- 10. Connectionism and cognitive development
- 11. Connectionist neuropsychology - lesioning neural networks
- 12. Mental representation: Rules, symbols, and connectionist networks
- 13. Network models of brain function
- 14. Evolutionary connectionism
- 15. A selective history of connectionism before 1986
- Appendices 1-4
- References
- 巻冊次
-
: hbk ISBN 9780198524274
内容説明
Connectionism is a way of modelling how the brain uses streams of sensory inputs to understand the world and produce behaviour, based on cognitive processes which actually occur. This book describes the principles, and their application to explaining how the brain produces speech, forms memories and recognises faces, how intellect develops, and how it deteriorates after brain damage. Part I explores the basic concepts, the architecture and properties of the most common connectionist models, and how connectionist learning rules work. Part II describes and evaluates connectionist models of a variety of cognitive processes, including the learning and production of speech, the formation of episodic memories and visual representations, the development of cognitive processes in infancy, and their breakdown in brain-damaged patients. The models range from some well-known classics to others at the frontiers of current research. Each chapter ends with a list of recommended further reading. Also included is a disk with the software for running tlearn, a user-friendly simulator for connectionist modelling of cognitive processes, which will run on either PCs or Macs.The software includes exercises to introduce the simulator, and working copies to explore some of the models described in the text.
A reference handbook for tlearn is included to enable readers to build their own models. The authors, as well as being leading researchers in their field, have extensive experience of teaching connectionism to undergraduates. They have written the first comprehensive, up-to-date textbook on connectionist modelling, designed specifically for advanced undergraduates, and accessible to those with only limited knowledge of mathematics. This will be an essential introductory text for all students in psychology or cognitive science taking a course on connectionism.
目次
- Introduction
- 1. The basics of connectionist information processing
- 2. The appeal of parallel distributed processing for modelling cognition
- 3. Pattern association
- 4. Auto association
- 5. Training a multi-layer network with an error signal: hidden units and backpropagation
- 6. Competitive networks
- 7. Recurrent networks
- 8. Reading aloud
- 9. Language acquisition
- 10. Connectionism and cognitive development
- 11. Connectionist neuropsychology - lesioning neural networks
- 12. Mental representation: Rules, symbols, and connectionist networks
- 13. Network models of brain function
- 14. Evolutionary connectionism
- 15. A selective history of connectionism before 1986
- Appendices 1-4
- References
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