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ORCIDNeural Computation, Volume 3
Volume 3, Number 1, Spring 1991
- Masakazu Konishi:
Deciphering the Brain's Codes. 1-18
- Paul C. Bush, Rodney J. Douglas:
Synchronization of Bursting Action Potential Discharge in a Model Network of Neocortical Neurons. 19-30 - D. Horn, M. Usher:
Parallel Activation of Memories in an Oscillatory Neural Network. 31-43 - Sidney R. Lehky, Randolph Blake:
Organization of Binocular Pathways: Modeling and Data Related to Rivalry. 44-53 - Jun Zhang:
Dynamics and Formation of Self-Organizing Maps. 54-66 - Terence D. Sanger:
A Tree-Structured Algorithm for Reducing Computation in Networks with Separable Basis Functions. 67-78 - Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. Hinton:
Adaptive Mixtures of Local Experts. 79-87 - Dean Pomerleau:
Efficient Training of Artificial Neural Networks for Autonomous Navigation. 88-97 - David S. Touretzky, Deirdre W. Wheeler:
Sequence Manipulation Using Parallel Mapping Networks. 98-109 - Ajay N. Jain:
Parsing Complex Sentences with Structured Connectionist Networks. 110-120 - Venkat Ajjanagadde, Lokendra Shastri:
Rules and Variables in Neural Nets. 121-134 - Hyuek-Jae Lee, Soo-Young Lee, Sang-Yung Shin, Bo-Yun Koh:
TAG: A Neural Network Model for Large-Scale Optical Implementation. 135-143
Volume 3, Number 2, Summer 1991
- Alain Destexhe, Agnessa Babloyantz:
Pacemaker-Induced Coherence in Cortical Networks. 145-154 - Peter König, Thomas B. Schillen:
Stimulus-Dependent Assembly Formation of Oscillatory Responses: I. Synchronization. 155-166 - Thomas B. Schillen, Peter König:
Stimulus-Dependent Assembly Formation of Oscillatory Responses: II. Desynchronization. 167-178 - David Zipser:
Recurrent Network Model of the Neural Mechanism of Short-Term Active Memory. 179-193 - Peter Földiák
:
Learning Invariance from Transformation Sequences. 194-200 - Peter J. B. Hancock, Leslie S. Smith, William A. Phillips:
A Biologically Supported Error-Correcting Learning Rule. 201-212 - John C. Platt:
A Resource-Allocating Network for Function Interpolation. 213-225 - Zhi-Quan Luo:
On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear Feedforward Networks. 226-245 - Jooyoung Park, Irwin W. Sandberg:
Universal Approximation Using Radial-Basis-Function Networks. 246-257 - Gale L. Martin, James A. Pittman:
Recognizing Hand-Printed Letters and Digits Using Backpropagation Learning. 258-267 - Petar D. Simic:
Constrained Nets for Graph Matching and Other Quadratic Assignment Problems. 268-281 - Gadi Pinkas:
Symmetric Neural Networks and Propositional Logic Satisfiability. 282-291
Volume 3, Number 3, Fall 1991
- Stephen I. Gallant:
A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks. 293-309
- Alistair C. Veitch, Geoffrey Holmes:
A Modified Quickprop Algorithm. 310-311
- Graeme Mitchison:
Removing Time Variation with the Anti-Hebbian Differential Synapse. 312-320 - Paul C. Bush, Terrence J. Sejnowski:
Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics. 321-332 - Haluk Ögmen:
On the Mechanisms Underlying Directional Selectivity. 333-349 - Michael Lemmon:
2-Degree-of-freedom Robot Path Planning using Cooperative Neural Fields. 350-362 - Martin W. Simmen:
Parameter Sensitivity of the Elastic Net Approach to the Traveling Salesman Problem. 363-374 - Andrew D. Back, Ah Chung Tsoi:
FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling. 375-385 - Eric B. Baum, Yuh-Dauh Lyuu:
The Transition to Perfect Generalization in Perceptrons. 386-401 - Bruno Apolloni, Diego de Falco:
Learning by Asymmetric Parallel Boltzmann Machines. 402-408 - Takeshi Kawabata:
Generalization Effects of k-Neighbor Interpolation Training. 409-417 - Khalid A. Al-Mashouq, Irving S. Reed:
Including Hints in Training Neural Nets. 418-427 - Jung-Hua Wang, Thomas F. Krile, John F. Walkup, Tai-Lang Jong:
On the Characteristics of the Autoassociative Memory with Nonzero-Diagonal Terms in the Memory Matrix. 428-439 - Yuchun Lee:
Handwritten Digit Recognition Using K Nearest-Neighbor, Radial-Basis Function, and Backpropagation Neural Networks. 440-449 - Simon A. Barton:
A Matrix Method for Optimizing a Neural Network. 450-459
Volume 3, Number 4, Winter 1991
- Michael D. Richard, Richard P. Lippmann:
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities. 461-483
- Ganesh Mani:
Lowering Variance of Decisions by Using Artificial Neural Network Portfolios. 484-486
- L. F. Abbott, Eve Marder, Scott L. Hooper:
Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons. 487-497 - Matthew A. Wilson, James M. Bower:
A Computer Simulation of Oscillatory Behavior in Primary Visual Cortex. 498-509 - D. Horn, D. Sagi, M. Usher:
Segmentation, Binding, and Illusory Conjunctions. 510-525 - Pierre Baldi, Fernando J. Pineda:
Contrastive Learning and Neural Oscillations. 526-545 - Marwan A. Jabri, Barry Flower:
Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks. 546-565 - Eric Hartman, James D. Keeler:
Predicting the Future: Advantages of Semilocal Units. 566-578 - Chris Bishop:
Improving the Generalization Properties of Radial Basis Function Neural Networks. 579-588 - Pierre Baldi, Yves Chauvin:
Temporal Evolution of Generalization during Learning in Linear Networks. 589-603 - Dan Nabutovsky, Eytan Domany:
Learning the Unlearnable. 604-616 - Vera Kurková:
Kolmogorov's Theorem Is Relevant. 617-622 - Shlomo Geva, Joaquin Sitte:
An Exponential Response Neural Net. 623-632
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