Introduction to Connectionist Modelling of Cognitive Processes by Peter McLeodIntroduction to Connectionist Modelling of Cognitive Processes by Peter McLeod

Introduction to Connectionist Modelling of Cognitive Processes

byPeter McLeod, Kim Plunkett, Edmund T. Rolls

Paperback | February 1, 1998

Pricing and Purchase Info

$113.40 online 
$130.50 list price save 13%
Earn 567 plum® points

Prices and offers may vary in store


Ships within 1-3 weeks

Ships free on orders over $25

Not available in stores


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, formsmemories 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 connectionistmodels 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 classicsto 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. Thesoftware 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 extensiveexperience 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 essentialintroductory text for all students in psychology or cognitive science taking a course on connectionism.
Peter McLeod, Kim Plunkett, and Edmund T. Rolls are all at Oxford University.
Title:Introduction to Connectionist Modelling of Cognitive ProcessesFormat:PaperbackDimensions:404 pages, 9.69 × 7.44 × 0.87 inPublished:February 1, 1998Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0198524269

ISBN - 13:9780198524267


Table of Contents

Introduction1. The basics of connectionist information processing2. The appeal of parallel distributed processing for modelling cognition3. Pattern association4. Auto association5. Training a multi-layer network with an error signal: hidden units and backpropagation6. Competitive networks7. Recurrent networks8. Reading aloud9. Language acquisition10. Connectionism and cognitive development11. Connectionist neuropsychology - lesioning neural networks12. Mental representation: Rules, symbols, and connectionist networks13. Network models of brain function14. Evolutionary connectionism15. A selective history of connectionism before 1986Appendices 1-4References

Editorial Reviews

"McLeod, Plunkett, and Rolls provide an excellent, up-to-date introduction to parallel-distributed processing models, and their application to a wide range of issues in cognitive neuroscience, psycholinguistics, and developmental psychology. . . . The presentation is clear and self-contained, making this text an excellent choice for introducing connectionist/parallel distributed processing models to students in psychology, cognitive science, and cognitive neuroscience." --James L. McClelland, Carnegie Mellon University "Connectionism has provided the study of cognition with its most important new theoretical methods of the last twenty years. However, to most students its models have just been a forbidding mass of abstractions. This book provides a simple introduction to the applications of connectionism to cognition. Written by leading experts in areas from neurobiology through cognitive psychology to developmental psychology and psycholinguistics, it provides a definitive view on the scientific utility of the approach as well as a lucid introduction to its technical aspects. For the first time, connectionism should become generally accessible to all students of cognition." --Tim Shallice, University College London "This book is designed as an introduction to neural networks for undergraduate and beginning graduate students. The first seven chapters deal with beginning-level concepts, and the last eight chapters are primarily devoted to applications. The applications include discussions of syntactic acquisition rules, production of speech, episodic memories, and cognitive development. The book is an excellent introduction for students who learn best with a 'hand-on'approach. The book contains numerous examples and exercises with a software system called TLEARN. The software (which is included with the book) is a connectionist modeling package that provides a graphical interface for the back-propagation class of network models."--Journal of Mathematical Psychology "Perhaps it is a sign of the maturity of neural networks research that it is only very recently that decent textbooks for psychologists have begun to appear: Introduction to connectionist modelling of cognitive processes (henceforth, Introduction) is such a textbook. In the main, the exposition is very clear, and the many figures and diagrams make the difficult material surprisingly easy to follow. . . . Overall, my feeling is that Introduction is a very useful text, and, for those of us who have struggled to teach connectionism to psychology undergraduates, it is something of a godsend."--The Quarterly Journal of Experimental Psychology