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ORCIDNeural Computation, Volume 2
Volume 2, Number 1, Spring 1990
- Alan L. Yuille
:
Generalized Deformable Models, Statistical Physics, and Matching Problems. 1-24
- Carsten Peterson, Stephen Redfield, James D. Keeler, Eric Hartman:
An Optoelectronic Architecture for Multilayer Learning in a Single Photorefractive Crystal. 25-34 - Arun Rao, Mark R. Walker, Lawrence T. Clark, Lex A. Akers, Robert O. Grondin:
VLSI Implementation of Neural Classifiers. 35-43 - Steven W. Zucker, Lee Iverson, Robert A. Hummel:
Coherent Compound Motion: Corners and Nonrigid Configurations. 44-57 - James L. Adams:
A Complementarity Mechanism for Enhanced Pattern Processing. 58-70 - Kamil A. Grajski, Michael Merzenich:
Hebb-Type Dynamics is Sufficient to Account for the Inverse Magnification Rule in Cortical Somatotopy. 71-84 - David J. Willshaw, Peter Dayan:
Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. 85-93 - DeLiang Wang, Joachim M. Buhmann, Christoph von der Malsburg:
Pattern Segmentation in Associative Memory. 94-106 - Gregory L. Heileman, George M. Papadourakis, Michael Georgiopoulos:
A Neural Net Associative Memory for Real-Time Applications. 107-115 - Sophocles J. Orfanidis:
Gram - Schmidt Neural Nets. 116-126
Volume 2, Number 2, Summer 1990
- David J. Heeger, Allan D. Jepson:
Visual Perception of Three-Dimensional Motion. 129-137 - Eric Saund:
Distributed Symbolic Representation of Visual Shape. 138-151 - Mark Devos, Guy A. Orban:
Modeling Orientation Discrimination at Multiple Reference Orientations with a Neural Network. 152-161 - D. S. Tang, Vinod Menon:
Temporal Differentiation and Violation of Time-Reversal Invariance in Neurocomputation of Visual Information. 162-172 - David J. C. MacKay, Kenneth D. Miller:
Analysis of Linsker's Simulations of Hebbian Rules. 173-187 - Chuanyi Ji, Robert R. Snapp, Demetri Psaltis:
Generalizing Smoothness Constraints from Discrete Samples. 188-197 - Marcus Frean:
The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural Networks. 198-209 - Eric J. Hartman, James D. Keeler, Jacek M. Kowalski:
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations. 210-215 - Reza Shadmehr, David Z. D'Argenio:
A Neural Network for Nonlinear Bayesian Estimation in Drug Therapy. 216-225 - Yoshio Izui, Alex Pentland:
Analysis of Neural Networks with Redundancy. 226-238 - Erol Gelenbe:
Stability of the Random Neural Network Model. 239-247 - Eric B. Baum:
The Perceptron Algorithm is Fast for Nonmalicious Distributions. 248-260
Volume 2, Number 3, Fall 1990
- Carsten Peterson:
Parallel Distributed Approaches to Combinatorial Optimization: Benchmark Studies on Traveling Salesman Problem. 261-269
- Yan Fang, Terrence J. Sejnowski:
Faster Learning for Dynamic Recurrent Backpropagation. 270-273
- Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech. 274-282 - Rodney J. Douglas, Kevan A. C. Martin:
Control of Neuronal Output by Inhibition at the Axon Initial Segment. 283-292 - Reinhard Eckhorn, Herbert J. Reitboeck, M. Arndt, P. Dicke:
Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex. 293-307 - Joseph J. Atick, A. Norman Redlich:
Towards a Theory of Early Visual Processing. 308-320 - Kenneth D. Miller:
Derivation of Linear Hebbian Equations from a Nonlinear Hebbian Model of Synaptic Plasticity. 321-333 - Alex Chernjavsky, John Moody:
Spontaneous Development of Modularity in Simple Cortical Models. 334-354 - Geoffrey E. Hinton, Steven J. Nowlan:
The Bootstrap Widrow-Hoff Rule as a Cluster-Formation Algorithm. 355-362 - Paul W. Hollis, John S. Harper, John J. Paulos:
The Effects of Precision Constraints in a Backpropagation Learning Network. 363-373 - Daniel B. Schwartz, Vijay K. Samalam, Sara A. Solla, John S. Denker:
Exhaustive Learning. 374-385 - Toshio Irino, Hideki Kawahara:
A Method for Designing Neural Networks Using Nonlinear Multivariate Analysis: Application to Speaker-Independent Vowel Recognition. 386-397
Volume 2, Number 4, Winter 1990
- Leonid Kruglyak:
How to Solve the N Bit Encoder Problem with Just Two Hidden Units. 399-401 - Zoran Obradovic, Peiyuan Yan:
Small Depth Polynomial Size Neural Networks. 402-404 - Mark J. Brady:
Guaranteed Learning Algorithm for Network with Units Having Periodic Threshold Output Function. 405-408
- Steven D. Whitehead, Dana H. Ballard:
Active Perception and Reinforcement Learning. 409-419 - Lucia Maria Vaina, Norberto M. Grzywacz, Marjorie LeMay:
Structure from Motion with Impaired Local-Speed and Global Motion-Field Computations. 420-435 - Reza Shadmehr:
Learning Virtual Equilibrium Trajectories for Control of a Robot Arm. 436-446 - Michael C. Mozer, Jonathan Bachrach:
Discovering the Structure of a Reactive Environment by Exploration. 447-457 - Pierre Baldi, Ronny Meir:
Computing with Arrays of Coupled Oscillators: An Application to Preattentive Texture Discrimination. 458-471 - Alan J. Katz, Michael T. Gately, Dean R. Collins:
Robust Classifiers without Robust Features. 472-479 - William G. Baxt:
Use of an Artificial Neural Network for Data Analysis in Clinical Decision-Making: The Diagnosis of Acute Coronary Occlusion. 480-489 - Ronald J. Williams, Jing Peng:
An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories. 490-501 - Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang:
Convergence Properties of Learning in ART1. 502-509 - Eric B. Baum:
A Polynomial Time Algorithm That Learns Two Hidden Unit Nets. 510-522 - James A. Reggia, Mark Edwards:
Phase Transitions in Connectionist Models Having Rapidly Varying Connection Strengths. 523-535 - R. Bijjani, P. Das:
An M-ary Neural Network Model. 536-551
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