Introduction to Connectionist Modelling of Cognitive Processes
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Product details:
- Publisher OUP Oxford
- Date of Publication 15 January 1998
- ISBN 9780198524267
- Binding Paperback
- No. of pages404 pages
- Size 248x191x22 mm
- Weight 751 g
- Language English
- Illustrations numerous line figures, tables, + disk 0
Categories
Short description:
Connectionism is a way of modelling what the brain does, based on the way that the brain does it. This book describes the principles of connectionist modelling, and the application of these models to understanding how the brain produces speech, forms memories, recognizes faces, and how intellect develops and deteriorates after brain damage. The book contains software for the tlearn connectionist simulator that is user-friendly and will run on either Macs or PCs.
MoreLong description:
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.
"...a very useful text, and, for those of us who have struggled to teach connectionism to psychology undergraduates, it is something of a godsend" Quarterly Journal of Experimental Psychology, 53B,Feb 2000
Table of Contents:
Introduction
The basics of connectionist information processing
The appeal of parallel distributed processing for modelling cognition
Pattern association
Auto association
Training a multi-layer network with an error signal: hidden units and backpropagation
Competitive networks
Recurrent networks
Reading aloud
Language acquisition
Connectionism and cognitive development
Connectionist neuropsychology - lesioning neural networks
Mental representation: Rules, symbols, and connectionist networks
Network models of brain function
Evolutionary connectionism
A selective history of connectionism before 1986
Appendices 1-4
References
