MORTEN H. CHRISTIANSEN is in the Departments of Psychology and Linguistics at Southern Illinois University, Carbondale.
NICK CHATER is in the Department of Psychology at the University of Warwick, U.K.

Preface
Connectionist Psycholinguistics: The Very Idea by Morten H. Christiansen and Nick Chater
The State of the Art
Connectionist Psycholinguistics in Perspective by Morten H. Christiansen and Nick Chater
Simulating Parallel Activation in Spoken Word Recognition by M. Gareth Gaskel and William D. Marslen-Wilson
A Connectionist Model of English Past Tense and Plural Morphology by Kim Plunkett and Patrick Juola
Finite Models of Infinite Language: A Connectionist Approach to Recursion by Morten H. Christiansen and Nick Chater
Dynamic Systems for Sentence Processing by Whitney Tabor and Michael K. Tanenhaus
Connectionist Models of Language Production: Lexical Access and Grammatical Encoding by Gary S. Dell, Franklin Chang, and Zenzi M. Griffin
A Connectionist Approach to Word Reading and Acquired Dyslexia: Extension to Sequential Processing by David C. Plaut
Future Prospects
Constraint Satisfaction in Language Acquisition and Processing by Mark S. Seidenberg and Maryellen C. MacDonald
Grammar-based Connectionist Approach to Language by Paul Smolensky
Connectionist Sentence Processing in Perspective by Mark Steedman
Index

Setting forth the state of the art, leading researchers present a survey on the fast-developing field of Connectionist Psycholinguistics: using connectionist or neural networks, which are inspired by brain architecture, to model empirical data on human language processing. Connectionist psycholinguistics has already had a substantial impact on the study of a wide range of aspects of language processing, ranging from inflectional morphology, to word recognition, to parsing and language production.
Christiansen and Chater begin with an extended tutorial overview of Connectionist Psycholinguistics which is followed by the latest research by leading figures in each area of research. The book also focuses on the implications and prospects for connectionist models of language, not just for psycholinguistics, but also for computational and linguistic perspectives on natural language. The interdisciplinary approach will be relevant for, and accessible to psychologists, cognitive scientists, linguists, philosophers, and researchers in artificial intelligence.