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ORCIDInternational Journal of Neural Systems, Volume 1
Volume 1, Number 1, 1989
- Editorial. 1
- Carsten Peterson, Bo Söderberg:
A New Method for Mapping Optimization Problems Onto Neural Networks. 3-22 - Michael G. Paulin, Mark E. Nelson, James M. Bower:
Dynamics of Compensatory Eye Movement Control: an Optimal Estimation Analysis of the Vestibulo-Ocular Reflex. 23-29 - Pierre Peretto:
Learning Learning Sets in Neural Networks. 31-40 - Bernardo A. Huberman:
The Collective Brain. 41-45 - Stefano Patarnello, Paolo Carnevali:
A Neural Network Model to Simulate a Conditioning Experiment. 47-53 - Jean-Pierre Nadal:
Study of a Growth Algorithm for a Feedforward Network. 55-59 - Erkki Oja:
Neural Networks, Principal Components, and Subspaces. 61-68 - Silvia Bacci, Germán Mato, Néstor Parga:
The Organization of Metastable States in A Neural Network with Hierarchichal Patterns. 69-76 - Anders Lansner, Örjan Ekeberg:
A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule. 77-87 - Jens Midtgaard, Jørn Hounsgaard:
Nerve Cells as Source of Time Scale and Processing Density in Brain Function. 89-94 - Su-shing Chen:
On Computational Vision: a Neural Processing Approach. 95-102
Volume 1, Number 2, 1989
- Amir F. Atiya, Pierre Baldi:
Oscillations and Synchronizations in Neural Networks: an Exploration of the Labeling Hypothesis. 103-124 - Anthony W. Smith, David Zipser:
Learning Sequential Structure with the Real-Time Recurrent Learning Algorithm. 125-131 - Michael R. Davenport, Geoffrey W. Hoffmann:
A Recurrent Neural Network Using Tri-State Hidden Neurons to Orthogonalize the Memory Space. 133-141 - Harun K. M. Yusuf, Sabiha Rahman, Hasina Akhtar:
Rats Kept in Social Isolation for Twelve Months from Weaning: Performance in Maze Learning and Visual Discrimination Tests, and Brain Composition. 143-147 - Howard C. Card, Will R. Moore:
Vlsi Devices and Circuits for Neural Networks. 149-165 - Lars Gislén
, Carsten Peterson, Bo Söderberg:
"Teachers and Classes" with Neural Networks. 167-176 - Atilla E. Gunhan, László Pál Csernai, Jørgen Randrup:
Unsupervised Competitive Learning in Neural Networks. 177-186 - Hans-Ulrich Bauer, Theo Geisel:
Motion Detection and Direction Detection in Local Neural Nets. 187-192
Volume 1, Number 3, 1990
- Andreas S. Weigend, Bernardo A. Huberman, David E. Rumelhart:
Predicting the Future: a Connectionist Approach. 193-209 - Chinchuan Chiu, Chia-Yiu Maa, Michael A. Shanblatt:
An Artificial Neural Network Algorithm for Dynamic Programming. 211-220 - Luyuan Fang, Tao Li:
Design of Competition-Based Neural Networks for Combinatorial Optimization. 221-235 - Edgardo A. Ferrán, Roberto P. J. Perazzo:
Dyslexic Behaviour of Feedforward Neural Networks. 237-245 - Edoardo Milotti:
Parity and the Shapes of Neuron Transfer Functions in Feedforward Neural Networks. 247-248 - David Horn, Marius Usher:
Excitatory-Inhibitory Networks with Dynamical Thresholds. 249-257 - John G. Sutherland:
A Holographic Model of Memory, Learning and Expression. 259-267 - Lei Xu:
Adding Learned Expectation Into the Learning Procedure of Self-Organizing Maps. 269-283 - David G. Stork:
Book Review: "Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations", Patrick K. Simpson. 285-259
Volume 1, Number 4, 1991
- Aron M. Gutman:
Bistability of Dendrites. 291-304 - Joseph J. Atick, A. Norman Redlich:
Predicting Ganglion and Simple Cell Receptive Field Organizations. 305-315 - Hans Henrik Thodberg:
Improving Generalization of Neural Networks Through Pruning. 317-326 - Ofer Hendin, David Horn, Marius Usher:
Chaotic Behavior of A Neural Network with Dynamical Thresholds. 327-335 - Catherine Myers:
Learning with Delayed Reinforcement Through Attention-Driven Buffering. 337-346 - Rubem Erichsen Jr., W. K. Theumann:
Mixture States and Storage with Correlated Patterns in Hopfield'S Model. 347-353 - Harel Z. Shouval, Isaac Shariv, Tal Grossman, Asher A. Friesem, Eytan Domany:
An All-Optical Hopfield Network: Theory and Experiment. 355-360
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