Connectionist Models

Proceedings of the 1990 Summer School

David S. Touretzky, Jeffrey L. Elman, Terrence J. Sejnowski

• Publisher: Morgan Kaufmann
• Year: 2014
• ISBN:
  9781483214481
• Topic: Psychology
• Subtopic: Experimental Psychology
• Index: Psychology

Connectionist Models contains the proceedings of the 1990 Connectionist Models Summer School held at the University of California at San Diego. The summer school provided a forum for students and faculty to assess the state of the art with regards to connectionist modeling. Topics covered range from theoretical analysis of networks to empirical investigations of learning algorithms; speech and image processing; cognitive psychology; computational neuroscience; and VLSI design. Comprised of 40 chapters, this book begins with an introduction to mean field, Boltzmann, and Hopfield networks, focusing on deterministic Boltzmann learning in networks with asymmetric connectivity; contrastive Hebbian learning in the continuous Hopfield model; and energy minimization and the satisfiability of propositional logic. Mean field networks that learn to discriminate temporally distorted strings are described. The next sections are devoted to reinforcement learning and genetic learning, along with temporal processing and modularity. Cognitive modeling and symbol processing as well as VLSI implementation are also discussed. This monograph will be of interest to both students and academicians concerned with connectionist modeling.

Table of contents

• Front Cover
• Connectionist Models
• Copyright Page
• Table of Contents
• Foreword
• Participants in the 1990 Connectionist Models Summer School
• List Of Accepted Students
• Part I: Mean Field, Boltzmann, and Hopfield Networks
• Part II: Reinforcement Learning
• Part III: Genetic Learning
• Part IV: Temporal Processing
• Part V: Theory and Analysis
• Part VI: Modularity
• Part VII: Cognitive Modeling and Symbol Processing
• Part VIII: Speech and Vision
• Part IX: Biology
• Part X: VLSI Implementation
• Index