morgan@unix.SRI.COM (Morgan Kaufmann) (10/26/90)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS - 2 -
edited by David S. Touretzky (Carnegie Mellon University)
1990; approx. 854 pages; Cloth; ISBN 1-55860-100-7; $35.95;
This volume, the second in the series, contains the collected
papers from a premier forum for neural networks research - the
IEEE Conference on Neural Information Processing Systems, held in
Denver, Colorado.
This highly selective volume includes work on neuroscience, speech
and signal processing, vision, optimization and control, other
applications, empirical analyses, theoretical analyses, hardware
implementation, and the history of neural networks. The 96 papers
in this volume were prepared after the conference from the original
abstracts and presentations.
For bibliographical purposes, the complete contents are listed
below. Contact numbers for further information on the NIPS series
and details on procuring copies of the volume are at the end of the
contents.
Volume 3, from the 1990 conference, will be available in April
Table of Contents
PART 1: NEUROSCIENCE
Acoustic-Imaging Computations by Echolocating Bats: Unification of
Diversely-Represented Stimulus Features into Whole Images
- James A. Simmons (Invited Talk)
The Computation of Sound Source Elevation in the Barn Owl
- C. D. Spence and J. C. Pearson
Mechanisms for Neuromodulation of Biological Neural Networks
- R. M. Harris-Warrick
Neural Network Analysis of Distributed Representations of Dynamical
Sensory-Motor Transformations in the Leech
- S. R. Lockery, Y. Fang and T. Sejnowski
Reading a Neural Code
- W. Bialek, F. Rieke, R. R. de Ruyter van
Steveninck and D. Warland
Neural Implementation of Motivated Behavior: Feeding in an
Artificial Insect
- R. D. Beer and H. J. Chiel
Neural Network Simulation of Somatosensory Representational
Plasticity
- K. A. Grajski and M. M. Merzenich
Computational Efficiency: A Common Organizing Principle for
Parallel Computer Maps and Brain Maps?
- M. E. Nelson and J. M. Bower
Associative Memory in a Simple Model of Oscillating Cortex
- B. Baird
Collective Oscillations in the Visual Cortex
- D. Kammen, C. Koch and P. J. Holmes
Computer Simulation of Oscillatory Behavior in Cerebral Cortical
Networks - M. A. Wilson and J. M. Bower
Development and Regeneration of Eye-Brain Maps: A Computational
Model - J.D. Cowan and A.E. Friedman
The Effect of Catecholamines on Performance: From Unit to System
Behavior - D. Servan-Schreiber, H. Printz and J.
D. Cohen
Non-Boltzmann Dynamics in Networks of Spiking Neurons
- M. C. Crair and W. Bialek
A Computer Modeling Approach to Understanding the Inferior Olive
and Its Relationships to the Cerebellar Cortex in Rats
- M. Lee and J. M. Bower
Can Simple Cells Learn Curves? A Hebbian Model in a Structured
Environment - W. R. Softky and D. M. Kammen
Note on Development of Modularity in Simple Cortical Models
- A. Chernjavsky and J. Moody
Effects of Firing Synchrony on Signal Propagation in Layered
Networks - G.T. Kenyon, E.E. Fetz and R.D. Puff
A Systematic Study of the Input/Output Properties of a 2
Compartment Model Neuron With Active Membranes
- P. Rhodes
Analytic Solutions to the Formation of Feature-Analysing Cells of
a Three-Layer Feedforward Visual Information Processing Neural Net
- D.S. Tang
PART II: SPEECH AND SIGNAL PROCESSING
Practical Characteristics of Neural Network and Conventional
Pattern Classifiers on Artificial and Speech Problems
- Y. Lee and R. P. Lippmann
Dimensionality Reduction and Prior Knowledge in E-Set Recognition
- K. J. Lang and G. E. Hinton
A Continuous Speech Recognition System Embedding MLP into HMM
- H. Bourlard and N. Morgan
HMM Speech Recognition with Neural Net Discrimination
- W. Y. Huang and R. P. Lippmann
Connectionist Architectures for Multi-Speaker Phoneme Recognition
- J. B. Hampshire II and A. Waibel
Training Stochastic Model Recognition Algorithms as Networks can
Lead to Maximum Mutual Information Estimation of Parameters
- J. S. Bridle
Speaker Independent Speech Recognition with Neural Networks and
Speech Knowledge
- Y. Bengio, R. De Mori and R. Cardin
The Effects of Circuit Integration on a Feature Map Vector
Quantizer - J. Mann
Combining Visual and Acoustic Speech Signals with a Neural Network
Improves Intelligibility
- T.J. Sejnowski, B.P. Yuhas, M.H. Goldstein, Jr.
and R.E. Jenkins
Using A Translation-Invariant Neural Network to Diagnose Heart
Arrhythmia - S. Ciarrocca Lee
A Neural Network for Real-Time Signal Processing
- D. B. Malkoff
PART III: VISION
Learning Aspect Graph Representations from View Sequences
- M. Seibert and A. M. Waxman
TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame
Transformations - R. S. Zemel, M. C. Mozer and G. E. Hinton
A Self-Organizing Multiple-View Representation of 3D Objects
- D. Weinshall, S. Edelman and H. H. Bulthoff
Contour-Map Encoding of Shape for Early Vision
- P. Kanerva
Neurally Inspired Plasticity in Oculomotor Processes
- P. A. Viola
Model Based Image Compression and Adaptive Data Representation by
Interacting Filter Banks
- T. Okamoto, M. Kawato, T. Inui and S. Miyake
PART IV: OPTIMIZATION AND CONTROL"
Neuronal Group Selection Theory: A Grounding in Robotics
- J. Donnett and T. Smithers
Using Local Models to Control Movement
- C. G. Atkeson
Learning to Control an Unstable System with Forward Modeling
- M. I. Jordan and R. A. Jacobs
A Self-organizing Associative Memory System for Control
Applications - M. Hormel
Operational Fault Tolerance of CMAC Networks
- M. J. Carter, F. J. Rudolph and A. J. Nucci
Neural Network Weight Matrix Synthesis Using Optimal Control
Techniques - O. Farotimi, A. Dembo and T. Kailath
Generalized Hopfield Networks and Nonlinear Optimization
- G. V. Reklaitis, A. G. Tsirukis and M. F. Tenorio
PART V: OTHER APPLICATIONS
Incremental Parsing by Modular Recurrent Connectionist Networks
- A. N. Jain and A. Waibel
A Computational Basis for Phonology
- D. S. Touretzky and D. W. Wheeler
Higher Order Recurrent Networks and Grammatical Inference
- C.L. Giles, G.Z. Sun, H.H. Chen, Y.C. Lee and
D. Chen
Bayesian Inference of Regular Grammar and Markov Source Models
- K. R. Smith and M. I. Miller
Handwritten Digit Recognition with a Back-Propagation Network
- Y. Le Cun, B. Boser, J.S. Denker, D. Henderson,
R.E. Howard, W. Hubbard and L.D. Jackel
Recognizing Hand-Printed Letters and Digits
- G. L. Martin and J. A. Pittman
A Large-Scale Neural Network Which Recognizes Handwritten Kanji
Characters - Y. Mori and K. Joe
A Neural Network to Detect Homologies in Proteins
- Y. Bengio, S.Bengio, Y. Pouliot and P. Agin
Rule Representations in a Connectionist Chunker
- D. S. Touretzky and G. Elvgren III
Discovering the Structure of a Reactive Environment by Exploration
- M. C. Mozer and J. Bachrach
Designing Application-Specific Neural Networks Using the Genetic
Algorithm - S. A. Harp, T. Samad and A. Guha
Predicting Weather Using a Genetic Memory: A Combination of
Kanerva's Sparse Distributed Memory with Holland's Genetic
Algorithms - D. Rogers
Neural Network Visualization
- J. Wejchert and G. Tesauro
PART VI: NEW LEARNING ALGORITHMS
Sigma-Pi Learning: On Radial Basis Functions and Cortical
Associative Learning
- B. W. Mel and C. Koch
Algorithms for Better Representation and Faster Learning in Radial
Basis Function Networks
- A. Saha and J. D. Keeler
Learning in Higher-Order `Artificial Dendritic Trees'"
- T. Bell
Adjoint Operator Algorithms for Faster Learning in Dynamical Neural
Networks - J. Barhen, N. Toomarian and S. Gulati
Discovering High Order Features with Mean Field Modules
- C. C. Galland and G. E. Hinton
The CHIR Algorithm for Feed Forward Networks with Binary Weights
- T. Grossman
The Cascade-Correlation Learning Architecture
- S. E. Fahlman and C. Lebiere
Meiosis Networks - Stephen Jose Hanson
The Cocktail Party Problem: Speech/Data Signal Separation
Comparison between Backpropagation and SONN
- J. Kassebaum, M. F. Tenorio and C. Schaefers
Generalization and Scaling in Reinforcement Learning
- D. H. Ackley and M. L. Littman
The `Moving Targets' Training Algorithm
- R. Rohwer
Training Connectionist Networks with Queries and SelectiveSampling- L. Atlas, D. Cohn and R. Ladner
Maximum Likelihood Competitive Learning
- S. J. Nowlan
Unsupervised Learning in Neurodynamics Using the Phase Velocity
Field Approach
- M. Zak and N. Toomarian
A Method for the Associative Storage of Analog Vectors
- A. Atiya and Y. Abu-Mostafa
PART VII: EMPIRICAL ANALYSES
Optimal Brain Damage
- Y. Le Cun, J.S. Denker and S. A. Solla
Asymptotic Convergence of Backpropagation: Numerical Experiments
- S. Ahmad, G. Tesauro and Y. He
Comparing the Performance of Connectionist and Statistical
Classifiers on an Image Segmentation Problem
- S. L. Gish and W.E. Blanz
Performance Comparisons Between Backpropagation Networks and
Classification Trees on Three Real-World Applications
- L. Atlas, R. Cole, J. Connor, M. El-Sharkawi,R. J. Marks II, Y. Muthusamy and E. Barnard
Generalization and Parameter Estimation in Feedforward Nets: Some
Experiments - N. Morgan and H. Bourlard
Subgrouping Reduces Complexity and Speeds Up Learning in Recurrent
Networks - D. Zipser
Dynamic Behavior of Constrained Back-Propagation Networks
- Y. Chauvin
Synergy of Clustering Multiple Back Propagation Networks
- W. P. Lincoln and J. Skrzypek
PART VIII: THEORETICAL ANALYSES
Coupled Markov Random Fields and Mean Field Theory
- D. Geiger and F. Girosi
Complexity of Finite Precision Neural Network Classifier
- A. Dembo, K-Y. Siu and T. Kailath
The Perceptron Algorithm Is Fast for Non-Malicious Distributions
- E. B. Baum
Sequential Decision Problems and Neural Networks
- A.G. Barto, R.S. Sutton and C.J.C.H. Watkins
Analysis of Linsker's Simulations of Hebbian Rules
- D.J.C. MacKay and K. D. Miller
Analog Neural Networks of Limited Precision I: Computing with
Multilinear Threshold Functions
- Z. Obradovic and I. Parberry
Time Dependent Adaptive Neural Networks
- F. J. Pineda
A Neural Network for Feature Extraction
-N. Intrator
On the Distribution of the Number of Local Minima of a Random
Function on a Graph
-P. Baldi, Y. Rinott and C.Stein
A Cost Function for Internal Representations
- A. Krogh, C.I. Thorbergsson and J. A. Hertz
PART IX: HARDWARE IMPLEMENTATION
An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex
- S. P. DeWeerth and C.A. Mead
Real-Time Computer Vision and Robotics Using Analog VLSI Circuits
- C. Koch, W. Bair, J. G. Harris, T. Horiuchi,A. Hsu and J. Luo
A Reconfigurable Analog VLSI Neural Network Chip
- S. Satyanarayana, Y. Tsividis and H. P. Graf
Digital-Analog Hybrid Synapse Chips for Electronic Neural Networks
- A. Moopenn, T. Duong and A.P. Thakoor
Analog Circuits for Constrained Optimization
- J. C. Platt
Pulse-Firing Neural Chips for Hundreds of Neurons
- M. Brownlow, L. Tarassenko, A. F. Murray, A.
Hamilton, I. S. Han and H. Martin Reekie
VLSI Implementation of a High-Capacity Neural Network Associative
Memory - T-D Chiueh and R. M. Goodman
An Efficient Implementation of the Back-propagation Algorithm on
the Connection Machine CM-2
- X. Zhang, M. Mckenna, J. Mesirov and D. Waltz
Performance of Connectionist Learning Algorithms on 2-D SIMD
Processor Arrays
- F. J. Nunez and J.A.B. Fortes
Dataflow Architectures: Flexible Platforms for Neural Network
Simulation - I. G. Smotroff
PART X: HISTORY OF NEURAL NETWORKS
Neural Networks: The Early Days
- J.D. Cowan
_________________________________________________________________
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS - 2 -
edited by David S. Touretzky (Carnegie Mellon University)
1990; 853 pages; Cloth; ISBN 1-55860-100-7; $35.95;
Advances in Neural Inforamtion Processing Systems - 1 -
1989; 819 pages; Cloth; ISBN 1-55860-015-9; $35.95
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