NIPS 1990: Denver, CO, USA
Richard Lippmann, John E. Moody, David S. Touretzky (Eds.): Advances in Neural Information Processing Systems 3, [NIPS Conference, Denver, Colorado, USA, November 26-29, 1990]. Morgan Kaufmann 1991 ISBN 1-55860-184-8
Part 1: Neurobiology
- Jack D. Cowan, A. E. Friedman: Studies of a Model for the Development and Regeneration of Eye-Brain Maps. 3-10
- Klaus Obermayer, Helge Ritter, Klaus Schulten: Development and Spatial Structure of Cortical Feature Maps: A Model Study. 11-17
- Shigeru Tanaka: Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathways. 18-25
- Jack D. Cowan, A. E. Friedman: Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches. 26-31
- Thomas J. Anastasio: A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex. 32-38
- Thomas H. Brown, Zachary F. Mainen, Anthony M. Zador, Brenda J. Claiborne: Self-organization of Hebbian Synapses in Hippocampal Neurons. 39-45
- Michael E. Hasselmo, Brooke P. Anderson, James M. Bower: Cholinergic Modulation May Enhance Cortical Associative Memory Function. 46-52
Part 2: Neuro-Dynamics
- Thomas B. Kepler, L. F. Abbott, Eve Marder: Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons. 55-61
- Jack D. Cowan: Stochastic Neurodynamics. 62-69
- Todd K. Leen: Dynamics of Learning in Recurrent Feature-Discovery Networks. 70-76
- Wulfram Gerstner: Associative Memory in a Network of `Biological' Neurons. 84-90
- Bill Baird, Frank H. Eeckman: CAM Storage of Analog Patterns and Continuous Sequences with 3N2 Weights. 91-97
- Charles M. Marcus, F. R. Waugh, R. M. Westervelt: Connection Topology and Dynamics in Lateral Inhibition Networks. 98-104
- Patrice Simard, Jean Pierre Raysz, Bernard Victorri: Shaping the State Space Landscape in Recurrent Networks. 105-112
- Nikzad Benny Toomarian, Jacob Barhen: Adjoint-Functions and Temporal Learning Algorithms in Neural Networks. 113-120
Part 3: Oscillations
- Ernst Niebur, Daniel M. Kammen, Christof Koch, Daniel L. Ruderman, Heinz G. Schuster: Phase-coupling in Two-Dimensional Networks of Interacting Oscillators. 123-129
- André Longtin: Oscillation Onset in Neural Delayed Feedback. 130-136
Part 4: Temporal Reasoning
- Esther Levin: Modeling Time Varying Systems Using Hidden Control Neural Architecture. 147-154
- Ulrich Bodenhausen, Alex Waibel: The Tempo 2 Algorithm: Adjusting Time-Delays By Supervised Learning. 155-161
- Einar Sørheim: ART2/BP Architecture for Adaptive Estimation of Dynamic Processes. 169-175
- Andreas V. M. Herz, Zhaoping Li, J. Leo van Hemmen: Statistical Mechanics of Temporal Association in Neural Networks. 176-182
- Scott E. Fahlman: The Recurrent Cascade-Correlation Architecture. 190-196
Part 5: Speech
- Joe Tebelskis, Alex Waibel, Bojan Petek, Otto Schmidbauer: Continuous Speech Recognition by Linked Predictive Neural Networks. 199-205
- Robert B. Allen, Candace A. Kamm: A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings. 206-212
- Hervé Bourlard, Nelson Morgan, Chuck Wooters: Connectionist Approaches to the Use of Markov Models for Speech Recognition. 213-219
- Ken-ichi Iso, Takao Watanabe: Speech Recognition Using Demi-Syllable Neural Prediction Model. 227-233
- John S. Bridle, Stephen Cox: RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition. 234-240
- Nathan Intrator: Exploratory Feature Extraction in Speech Signals. 241-247
- Hong C. Leung, James R. Glass, Michael S. Phillips, Victor Zue: Phonetic Classification and Recognition Using the Multi-Layer Perceptron. 248-254
- Victor Zue, James R. Glass, David Goodine, Lynette Hirschman, Hong C. Leung, Michael S. Phillips, Joseph Polifroni, Stephanie Seneff: From Speech Recognition to Spoken Language Understanding. 255-261
- Khalid Choukri: Speech Recognition Using Connectionist Approaches. 262-269
Part 6: Signal Processing
- Herbert L. Roitblat, Patrick W. B. Moore, Paul E. Nachtigall, Ralph H. Penner: Natural Dolphin Echo Recognition Using an Integrator Gateway Network. 273-279
- David C. Tam: Signal Processing by Multiplexing and Demultiplexing in Neurons. 282-288
- John C. Pearson, Clay Spence, Ronald Sverdlove: Applications of Neural Networks in Video Signal Processing. 289-295
Part 7: Visual Processing
- Richard S. Zemel, Geoffrey E. Hinton: Discovering Viewpoint-Invariant Relationships That Characterize Objects. 299-305
- Volker Tresp: A Neural Network Approach for Three-Dimensional Object Recognition. 306-312
- Shelly D. D. Goggin, Kristina M. Johnson, Karl E. Gustafson: A Second-Order Translation, Rotation and Scale Invariant Neural Network. 313-319
- Martin I. Sereno, Margaret E. Sereno: Learning to See Rotation and Dilation with a Hebb Rule. 320-327
- Alireza Khotanzad, Ying-Wung Lee: Stereopsis by a Neural Network Which Learns the Constraints. 327-334
- Ennio Mingolla: Neural Dynamics of Motion Segmentation and Grouping. 342-348
- H. Taichi Wang, Bimal Mathur, Christof Koch: A Multiscale Adaptive Network Model of Motion Computation in Primates. 349-355
- Daphna Weinshall: Qualitative Structure From Motion. 356-362
- Andrew W. Moore, John Allman, Geoffrey Fox, Rodney M. Goodman: A VLSI Neural Network for Color Constancy. 370-376
- Jeffrey L. Teeters, Frank H. Eeckman, Frank S. Werblin: A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander Retina. 384-390
- Josef Skrzypek: Feedback Synapse to Cone and Light Adaptation. 391-398
- Timothy K. Horiuchi, John Lazzaro, Andrew Moore, Christof Koch: A Delay-Line Based Motion Detection Chip. 406-412
Part 8: Control and Navigation
- Charles Schley, Yves Chauvin, Van Henkle, Richard M. Golden: Neural Networks Structured for Control Application to Aircraft Landing. 415-421
- Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan F. Murray: Real-Time Autonomous Robot Navigation Using VLSI Neural Networks. 422-428
- Dean Pomerleau: Rapidly Adapting Artificial Neural Networks for Autonomous Navigation. 429-435
- Masazumi Katayama, Mitsuo Kawato: Learning Trajectory and Force Control of an Artificial Muscle Arm. 436-442
- Robert C. Frye, Kevin D. Cummings, Edward A. Rietman: Proximity Effect Corrections in Electron Beam Lithography. 443-449
- Jonathan Bachrach: A Connectionist Learning Control Architecture for Navigation. 457-463
- Peter Dayan: Navigating Through Temporal Difference. 464-470
- Richard S. Sutton: Integrated Modeling and Control Based on Reinforcement Learning. 471-478
- Aloke Guha: A Reinforcement Learning Variant for Control Scheduling. 479-485
- Rodolfo A. Milito, Isabelle Guyon, Sara A. Solla: Neural Network Implementation of Admission Control. 493-499
- Jürgen Schmidhuber: Reinforcement Learning in Markovian and Non-Markovian Environments. 500-506
- Randall D. Beer, G. J. Kacmarcik, Roy E. Ritzmann, Hillel J. Chiel: A Model of Distributed Sensorimotor Control in the Cockroach Escape Turn. 507-513
- William E. Faller, Marvin W. Luttges: Flight Control in the Dragonfly: A Neurobiological Simulation. 514-520
Part 9: Applications
- Henrik Fredholm, Henrik Bohr, Jakob Bohr, Søren Brunak, Rodney M. J. Cotterill, Benny Lautrup, Steffen B. Petersen: A Novel Approach to Prediction of the 3-Dimensional Structures. 523-529
- Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik: Training Knowledge-Based Neural Networks to Recognize Genes. 530-536
- Kenneth A. Marko: Neural Network Application to Diagnostics. 537-543
- Joseph E. Collard: A B-P ANN Commodity Trader. 551-556
- James D. Keeler, David E. Rumelhart, Wee Kheng Leow: Integrated Segmentation and Recognition of Hand-Printed Numerals. 557-563
- Garrison W. Cottrell, Janet Metcalfe: EMPATH: Face, Emotion, and Gender Recognition Using Holons. 564-571
- Beatrice A. Golomb, David T. Lawrence, Terrence J. Sejnowski: SEXNET: A Neural Network Identifies Sex From Human Faces. 572-579
- Yoichi Hayashi: A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules. 578-584
Part 10: Language and Cognition
- Geraldine Legendre, Yoshiro Miyata, Paul Smolensky: Distributed Recursive Structure Processing. 591-597
- Michael Gasser, Chan-Do Lee: A Short-Term Memory Architecture for the Learning of Morphophonemic Rules. 605-611
- David S. Touretzky, Deirdre W. Wheeler: Exploiting Syllable Structure in a Connectionist Phonology Model. 612-618
- Jordan B. Pollack: Language Induction by Phase Transition in Dynamical Recognizers. 619-626
- Michael Mozer: Discovering Discrete Distributed Representations. 627-634
- Janet Wiles, Michael S. Humphreys, John D. Bain, Simon Dennis: Direct Memory Access Using Two Cues. 635-641
- Eytan Ruppin, Yehezkel Yeshurun: An Attractor Neural Network Model of Recall and Recognition. 642-648
- John K. Kruschke: ALCOVE: A Connectionist Model of Human Category Learning. 649-655
- Roger N. Shepard, Sheila Kannappan: Connectionist Implementation of a Theory of Generalization. 665-671
Part 11: Local Basis Funtions
- Jerome H. Friedman: Adaptive Spline Networks. 675-683
- Stephen H. Lane, Marshall Flax, David Handelman, Jack Gelfand: Multi-Layer Perceptrons with B-Spline Receptive Field Functions. 684-692
- Stephen M. Omohundro: Bumptrees for Efficient Function, Constraint and Classification Learning. 693-699
- Terence D. Sanger: Basis-Function Trees as a Generalization of Local Variable Selection Methods. 700-706
- Sherif M. Botros, Christopher G. Atkeson: Generalization Properties of Radial Basis Functions. 707-713
- John C. Platt: Leaning by Combining Memorization and Gradient Descent. 714-720
- Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside: Sequential Adaptation of Radial Basis Function Networks. 721-727
- Avijit Saha, Jim Christian, Dun-Sung Tang, Chuan-lin Wu: Oriented Non-Radial Basis Functions for Image Coding and Analysis. 728-734
- Pierre Baldi: Computing with Arrays of Bell-Shaped and Sigmoid Functions. 735-742
- Federico Girosi, Tomaso Poggio, Bruno Caprile: Extensions of a Theory of Networks for Approximation and Learning. 750-756
- Bartlett W. Mel, Stephen M. Omohundro: How Receptive Field Parameters Affect Neural Learning. 757-763
Part 12: Learning Systems
- Michael Mozer, Todd Soukup: Connectionist Music Composition Based on Melodic and Stylistic Constraints. 789-796
- Eric I. Chang, Richard Lippmann: Using Genetic Algorithms to Improve Pattern Classification Performance. 797-803
- Terrence Fine: Designing Linear Threshold Based Neural Network Pattern Classifiers. 811-817
- Padhraic Smyth: On Stochastic Complexity and Admissible Models for Neural Network Classifiers. 818-824
- Christian Darken, John E. Moody: Note on Learning Rate Schedules for Stochastic Optimization. 832-838
- Griff L. Bilbro, David E. van den Bout: Learning Theory and Experiments with Competitive Networks. 846-852
- John S. Denker, Yann LeCun: Transforming Neural-Net Output Levels to Probability Distributions. 853-859
- Michael L. Rossen: Closed-Form Inversion of Backpropagation Networks. 868-872
Part 13: Learning and Generalization
- Andreas S. Weigend, David E. Rumelhart, Bernardo A. Huberman: Generalization by Weight-Elimination with Application to Forecasting. 875-882
- Yves Chauvin: Generalization Dynamics in LMS Trained Linear Networks. 890-896
- David A. Cohn, Gerald Tesauro: Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds? 911-917
- Barak A. Pearlmutter, Ronald Rosenfeld: Chaitin-Kolmogorov Complexity and Generalization in Neural Networks. 925-931
- Robert R. Snapp, Demetri Psaltis, Santosh S. Venkatesh: Asymptotic Slowing Down of the Nearest-Neighbor Classifier. 932-938
- Eduardo D. Sontag: Remarks on Interpolation and Recognition Using Neural Nets. 939-945
- Robert C. Williamson: epsilon-Entropy and the Complexity of Feedforward Neural Networks. 946-952
- Vwani P. Roychowdhury, Alon Orlitsky, Kai-Yeung Siu, Thomas Kailath: On the Circuit Complexity of Neural Networks. 953-959
Part 14: Performance Comparisons
- Ah Chung Tsoi, R. A. Pearson: Comparison of Three Classification Techniques: CART, C4.5 and Multi-Layer Perceptrons. 963-969
- Kenney Ng, Richard Lippmann: Practical Characteristics of Neural Network and Conventional Patterns Classifiers. 970-976
- Richard Rohwer: Time Trials on Second-Order and Variable-Learning-Rate Algorithms. 977-983
- Wesley E. Snyder, Daniel Nissman, David E. van den Bout, Griff L. Bilbro: Kohonen Networks and Clustering. 984-990
Part 15: VLSI
- Mark A. Holler: VLSI Implementations of Learning and Memory Systems. 993-1000
- Joshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppenfeld, Ronny Meir: Relaxation Networks for Large Supervised Learning Problems. 1015-1021
- W. Thomas Miller III, Brian A. Box, Erich C. Whitney, James M. Glynn: Design and Implementation of a High Speed CMAC Neural Network. 1022-1027
- Hal McCartor: Back Propagation Implementation. 1028-1031
- Hans Peter Graf, R. Janow, Donnie Henderson, R. Lee: Reconfigurable Neural Net Chip with 32K Connections. 1032-1038
- Michael L. Chuang, Alice M. Chiang: Simulation of the Neocognitron on a CCD Parallel Processing Architecture. 1039-1045
- Matt Melton, Tan Phan, Douglas S. Reeves, David E. van den Bout: VLSI Implementation of TInMANN. 1046-1052
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