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ORCIDNeural Computation, Volume 1
Volume 1, Number 1, Spring 1989
- Richard P. Lippmann:
Review of Neural Networks for Speech Recognition. 1-38
- Alex Waibel:
Modular Construction of Time-Delay Neural Networks for Speech Recognition. 39-46 - John Lazzaro, Carver A. Mead:
A Silicon Model Of Auditory Localization. 47-57 - John L. Wyatt Jr., David L. Standley:
Criteria for Robust Stability In A Class Of Lateral Inhibition Networks Coupled Through Resistive Grids. 58-67 - Steven W. Zucker, Allan Dobbins
, Lee Iverson:
Two Stages of Curve Detection Suggest Two Styles of Visual Computation. 68-81 - Alex Pentland:
Part Segmentation for Object Recognition. 82-91 - H. Taichi Wang, Bimal Mathur, Christof Koch:
Computing Optical Flow in the Primate Visual System. 92-103 - Alan Rojer, Eric L. Schwartz:
A Multiple-Map Model for Pattern Classification. 104-115 - Richard J. Krauzlis, Stephen G. Lisberger:
A Control Systems Model of Smooth Pursuit Eye Movements with Realistic Emergent Properties. 116-122 - Antonio R. Damasio:
The Brain Binds Entities and Events by Multiregional Activation from Convergence Zones. 123-132 - Richard Durbin, David E. Rumelhart:
Product Units: A Computationally Powerful and Biologically Plausible Extension to Backpropagation Networks. 133-142 - Geoffrey E. Hinton:
Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space. 143-150 - Eric B. Baum, David Haussler:
What Size Net Gives Valid Generalization? 151-160
Volume 1, Number 2, Summer 1989
- Fernando J. Pineda:
Recurrent Backpropagation and the Dynamical Approach to Adaptive Neural Computation. 161-172 - Jennifer S. Altman, Jenny Kien:
New Models for Motor Control. 173-183 - Christof Koch:
Seeing Chips: Analog VLSI Circuits for Computer Vision. 184-200 - Eric B. Baum:
A Proposal for More Powerful Learning Algorithms. 201-207
- Alex Pentland:
A Possible Neural Mechanism for Computing Shape From Shading. 208-217 - Eric Mjolsness, Gene Gindi, P. Anandan:
Optimization in Model Matching and Perceptual Organization. 218-229 - Thomas J. Anastasio, David A. Robinson:
Distributed Parallel Processing in the Vestibulo-Oculomotor System. 230-241 - Reza Shadmehr:
A Neural Model for Generation of Some Behaviors in the Fictive Scratch Reflex. 242-252 - Rodney A. Brooks:
A Robot that Walks; Emergent Behaviors from a Carefully Evolved Network. 253-262 - Barak A. Pearlmutter:
Learning State Space Trajectories in Recurrent Neural Networks. 263-269 - Ronald J. Williams, David Zipser:
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks. 270-280 - John E. Moody, Christian J. Darken:
Fast Learning in Networks of Locally-Tuned Processing Units. 281-294
Volume 1, Number 3, Fall 1989
- H. B. Barlow:
Unsupervised Learning. 295-311 - Yaser S. Abu-Mostafa:
The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning. 312-317
- Humbert Suarez, Christof Koch:
Linking Linear Threshold Units with Quadratic Models of Motion Perception. 318-320 - Gerald Tesauro:
Neurogammon Wins Computer Olympiad. 321-323
- Masud Husain, Stefan Treue, Richard A. Andersen:
Surface Interpolation in Three-Dimensional Structure-from-Motion Perception. 324-333 - Alan L. Yuille, Norberto M. Grzywacz:
A Winner-Take-All Mechanism Based on Presynaptic Inhibition Feedback. 334-347 - Richard Durbin, Richard Szeliski, Alan L. Yuille:
An Analysis of the Elastic Net Approach to the Traveling Salesman Problem. 348-358 - Christopher Miall:
The Storage of Time Intervals Using Oscillating Neurons. 359-371 - Axel Cleeremans, David Servan-Schreiber, James L. McClelland:
Finite State Automata and Simple Recurrent Networks. 372-381 - Gerald Tesauro, Yu He, Subutai Ahmad:
Asymptotic Convergence of Backpropagation. 382-391 - Laurence T. Maloney, Albert J. Ahumada:
Learning by Assertion: Two Methods for Calibrating a Linear Visual System. 392-401 - Ralph Linsker:
How to Generate Ordered Maps by Maximizing the Mutual Information between Input and Output Signals. 402-411 - H. B. Barlow, T. P. Kaushal, G. J. Mitchison:
Finding Minimum Entropy Codes. 412-423
Volume 1, Number 4, Winter 1989
- Halbert White:
Learning in Artificial Neural Networks: A Statistical Perspective. 425-464
- Federico Girosi, Tomaso A. Poggio:
Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant. 465-469 - Eduardo D. Sontag:
Sigmoids Distinguish More Efficiently Than Heavisides. 470-472
- Charles F. Stevens:
How Cortical Interconnectedness Varies with Network Size. 473-479 - Rodney J. Douglas, Kevan A. C. Martin, David Whitteridge:
A Canonical Microcircuit for Neocortex. 480-488 - Andreas G. Andreou, Kwabena A. Boahen:
Synthetic Neural Circuits Using Current-Domain Signal Representations. 489-501 - Erol Gelenbe:
Random Neural Networks with Negative and Positive Signals and Product Form Solution. 502-510 - Athanasios G. Tsirukis, Gintaras V. Reklaitis, Manoel Fernando Tenorio:
Nonlinear Optimization Using Generalized Hopfield Networks. 511-521 - Hyuk Lee:
Discrete Synchronous Neural Algorithm for Minimization. 522-531 - Edward K. Blum:
Approximation of Boolean Functions by Sigmoidal Networks: Part I: XOR and Other Two-Variable Functions. 532-540 - Yann LeCun, Bernhard E. Boser, John S. Denker, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Lawrence D. Jackel:
Backpropagation Applied to Handwritten Zip Code Recognition. 541-551 - David Zipser:
A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks. 552-558 - Andreas Stolcke:
Unification as Constraint Satisfaction in Structured Connectionist Networks. 559-567
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