Connectionist Models and Their Implications (Book)

Readings from Cognitive Science

Edition

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

Related Titles