ABSTRACT
The result of the 1993 Connectionist Models Summer School, the papers in this volume exemplify the tremendous breadth and depth of research underway in the field of neural networks. Although the slant of the summer school has always leaned toward cognitive science and artificial intelligence, the diverse scientific backgrounds and research interests of accepted students and invited faculty reflect the broad spectrum of areas contributing to neural networks, including artificial intelligence, cognitive science, computer science, engineering, mathematics, neuroscience, and physics. Providing an accurate picture of the state of the art in this fast-moving field, the proceedings of this intense two-week program of lectures, workshops, and informal discussions contains timely and high-quality work by the best and the brightest in the neural networks field.
TABLE OF CONTENTS
part 1|27 pages
Neuroscience
part 2|26 pages
Vision
part 3|40 pages
Cognitive Modeling
part 4|51 pages
Language
part 5|53 pages
Symbolic Computation and Rules
part 6|51 pages
Recurrent Networks and Temporal Pattern Processing
part 7|35 pages
Control
part 8|43 pages
Learning Algorithms and Architectures
part 9|54 pages
Learning Theory
part 10|18 pages
Simulation Tools