Connectionist Models and Their Implications

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