morgan@unix.SRI.COM (Morgan Kaufmann) (03/19/91)
Announcing a new publication from Morgan Kaufmann Publishers, Inc.
CONNECTIONIST MODELS: Proceedings of the 1990 Summer School
Edited by
David S. Touretzky (Carnegie Mellon University),
Jeffrey L. Elman (University of California, San Diego),
Terrence J. Sejnowski (The Salk Institute, UC San Diego), and
Geoffrey E. Hinton (University of Toronto)
ISBN 1-55860-156-2
(For bibliographic purposes, the complete table of contents
and contact numbers for additional information or for use in
obtaining copies of this book follow the announcement.)
This volume comprises a collection of original research papers that
summarize research at international labs and universities at the
forefront of neural network research. The Connectionist Models
Summer Schools bring together distinguished researchers and
outstanding graduate students to provide a forum for presenting and
evaluating current research results on connectionist models in
neural networks.
The papers, rigorously selected from faculty and student entries,
have been updated and revised to incorporate the evaluations
discussed at the workshop, as well as extensive interaction between
the authors and the editors of this volume. The selections
represent a wide variety of current research in VLSI design,
optimization methods, learning theory, vision, speech,
neuroscience, linguistics, and cognitive psychology. This
collection, like its successful predecessor, will be a valuable
reference for researchers and students in AI, neurobiology,
cognitive science and other areas with an interest in neural
networks.
TABLE OF CONTENTS
PART I MEAN FIELD, BOLTZMANN, AND HOPFIELD NETWORKS
Deterministic Boltzmann Learning in Networks with
Asymmetric Connectivity 3
C.C. Galland and G.E. Hinton
Contrastive Hebbian Learning in the Continuous Hopfield Model 10
J.R. Movellan
Mean Field Networks that Learn to Discriminate
Temporally Distorted Strings 18
C.K.I. Williams and G.E. Hinton
Energy Minimization and the Satisfiability
of Propositional Logic 23
G. Pinkas
PART II REINFORCEMENT LEARNING
On the Computational Economics of Reinforcement Learning 35
A.G. Barto and S.P. Singh
Reinforcement Comparison 45
P. Dayan
Learning Algorithms for Networks with
Internal and External Feedback 52
J. Schmidhuber
PART III GENETIC LEARNING
Exploring Adaptive Agency I: Theory and Methods for
Simulating the Evolution of Learning 65
G.F. Miller and P.M. Todd
The Evolution of Learning: An Experiment in Genetic
Connectionism 81
D.J. Chalmers
Evolving Controls for Unstable Systems 91
A.P. Wieland
PART IV TEMPORAL PROCESSING
Back-Propagation, Weight Elimination and Time
Series Prediction 105
A.S. Weigend, D.E. Rumelhart, and B.A. Huberman
Predicting the Mackey-Glass Timeseries
with Cascade-Correlation Learning 117
R.S. Crowder, III
Learning in Recurrent Finite Difference Networks 124
F.S. Tsung
Temporal Backpropagation: An Efficient Algorithm
for Finite Impulse Response Neural Networks 131
E.A. Wan
PART V THEORY AND ANALYSIS
Optimal Dimensionality Reduction Using Hebbian Learning 141
A. Levin
Basis-Function Trees for Approximation
in High-Dimensional Spaces 145
T.D. Sanger
Effects of Circuit Parameters on Convergence of
Trinary Update Back-Propagation 152
R.L. Shimabukuro, P.A. Shoemaker, C.C. Guest, and M.J. Carlin
Equivalence Proofs for Multi-Layer Perceptron Classifiers and the
Bayesian Discriminant Function 159
J.B. Hampshire, II and B. Pearlmutter
A Local Approach to Optimal Queries 173
D. Cohn
PART VI MODULARITY
A Modularization Scheme for Feedforward Networks 183
A. Ossen
A Compositional Connectionist Architecture 188
J.R. Chen
PART VII COGNITIVE MODELING AND SYMBOL PROCESSING
From Role Learning to System Building:
Acquiring Verb Morphology in Children
and Connectionist Nets 201
K. Plunkett, V. Marchman, and S.L. Knudsen
Parallel Mapping Circuitry in a Phonological Model 220
D.S. Touretzky
A Modular Neural Network Model of the Acquisition
of Category Names in Children 228
P.G. Schyns
A Computational Model of Attentional Requirements
in Sequence Learning 236
P.J. Jennings and S.W. Keele
Recall of Sequences of Items by a Neural Network 243
S. Nolfi, D. Parisi, G. Vallar, and C. Burani
Binding, Episodic Short-Term Memory, and Selective
Attention, Or Why are PDP Models Poor
at Symbol Manipulation? 253
R. Goebel
Analogical Retrieval Within a Hybrid
Spreading-Activation Network 265
T.E. Lange, E.R. Melz, C.M. Wharton, and K.J. Holyoak
Appropriate Uses of Hybrid Systems 277
D.E. Rose
Cognitive Map Construction and Use: A Parallel Distributed
Processing Approach 287
R.L. Chrisley
PART VII SPEECH AND VISION
Unsupervised Discovery of Speech Segments Using Recurrent
Networks 303
A. Doutiraux and D. Zipser
Feature Extraction Using an Unsupervised Neural Network 310
N. Intrator
Motor Control for Speech Skills: A Connectionist Approach 319
R. Laboissiere, J-L. Schwartz, and G. Bailly
Extracting Features From Faces Using Compression Networks:
Face, Identity, Emotion, and Gender Recognition Using Holons328
G.W. Cottrell
The Development of Topography and Ocular Dominance 338
G.J. Goodhill
On Modeling Some Aspects of Higher Level Vision 350
D. Bennett
PART IX BIOLOGY
Modeling Cortical Area 7a Using Stochastic
Real-Valued (SRV) Units 363
V. Gullapalli
Neuronal Signal Strength is Enhanced by Rhythmic Firing 369
A. Heirich and C. Koch
PART X VLSI IMPLEMENTATION
An Analog VLSI Neural Network Cocktail Party Processor 379
A. Heirich, S. Watkins, M. Alston, P. Chau
A VLSI Neural Network with On-Chip Learning 387
S.P. Day and D.S. Camporese
Index 401
CONNECTIONIST MODELS: Proceedings of the 1990 Summer School
Edited by
David S. Touretzky (Carnegie Mellon University),
Jeffrey L. Elman (University of California, San Diego),
Terrence J. Sejnowski (The Salk Institute, UC San Diego), and
Geoffrey E. Hinton (University of Toronto)
ISBN 1-55860-156-2 $29.95 404 pages, paper
ALSO AVAILABLE NOW:
CONNECTIONIST MODELS: Proceedings of the 1988 Summer School
Edited by David S. Touretzky, Geoffrey E. Hinton, and
Terrence J. Sejnowski
ISBN 1-55860-035-3 NOW $19.95 527 pages, paper
(There was no Summer School workshop held in 1989)
Morgan Kaufmann Publishers, Inc
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