Preface: Connectionist Models and Their Prospects vii
Marvin Minsky
1. Connectionist Models and Their Implications 1
David Waltz and Jerome A. Feldman
2. Connectionist Models and Their Properties 13
J.A. Feldman and D.H. Ballard
3. Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly 63
James L. McClelland
4. Positive Feedback in Hierarchical Connectionist Models: Applications in Language Production 97
Gary S. Dell
5. A Developmental Neural Model of Visual Word Perception 119
Richard M. Golden
6. Computing with Connections in Visual Recognition of Origami Objects 155
Daniel Sabbah
7. Massively Parallel Parsing: A Strongly Interactive Model of Natural Language Interpretation 181
David L. Waltz and Jordon B. Pollack
8. Feature Discovery by Competitive Learning 205
David E. Rumelhart and David Zipser
9. Competitive Learning: From Interactive Activation to Adaptive Resonance 243
Stephen Grossberg
10. A Learning Algorithm for Boltzmann Machines 285
David H. Ackley, Geoffrey E. Hinton, and Terrence J. Sejnowski
11. Emergence of Grandmother Memory in Feed Forward Networks: Learning with Noise and Forgetfulness 309
R. Scalettar and A. Zee
12. An Implementation of Network Learning on the Connection Machine 329
Charles R. Rosenberg and Guy Blelloch
13. Connectionist Representation of Concepts 341
Jerome A. Feldman
Author Index 365 Subject Index 371
