dblp: International Journal of Neural Systems, Volume 1

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

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 P. 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

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

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

International Journal of Neural Systems, Volume 1

Volume 1, Number 1, 1989

Volume 1, Number 2, 1989

Volume 1, Number 3, 1990

Volume 1, Number 4, 1991