International Journal of Neural Systems, Volume 2

Volume 2, Number 1-2, 1991

• Hans Liljenström:
  Modeling the Dynamics of Olfactory Cortex Using Simplified Network Units and Realistic Architecture. 1-15
  
• Suzanna Becker:
  Unsupervised Learning Procedures for Neural Networks. 17-33
  
• Yves Chauvin:
  Constrained Hebbian Learning: Gradient Descent to Global Minima in an N-Dimensional Landscape. 35-46
  
• John G. Taylor:
  Neural Network Capacity for Temporal Sequence Storage. 47-54
  
• Solomon Zvi Lerner, John R. Deller Jr.:
  Speech Recognition by a Self-Organizing Feature Finder. 55-78
  
• Jeffery Lee Johnson:
  Modeling Head end Escape Behavior in the Earthworm: the Efferent Arc and the End Organ. 79-90
  
• Mo-Yuen Chow, Griff L. Bilbro, Sui Oi Yee:
  Application of Learning Theory to an Artificial Neural Network that Detects Incipient Faults in Single-Phase Induction Motors. 91-100
  
• Jouni Tomberg, Kimmo Kaski:
  Some IC Implementations of Artificial Neural Networks Using Synchronous Pulse-Density Modulation Technique. 101-114
  
• I. Kocher, Rémi Monasson:
  Generalization Error and Dynamical Effects in a Two-Dimensional Patches Detector. 115-124
  
• Jürgen Schmidhuber, Rudolf Huber:
  Learning to Generate Artificial Fovea Trajectories for Target Detection. 125-134
  
• Allan Hartstein:
  A Backpropagation Algorithm for a Network of Neurons with Threshold Controlled Synapses. 135-141
  
• M. Miller, E. N. Miranda:
  Stability of Multilayered Neural Networks. 143-146
  
• J. Ariel Sirat:
  A Fast Neural Algorithm for Principal Component Analysis and Singular Value Decomposition. 147-155
  
• David G. Stork:
  Book Review: "Introduction to the Theory of Neural Computation", John Hertz, Anders Krogh, and Richard G. Palmer. 157-158
  

Volume 2, Number 3, 1991

• David G. Stork:
  Sources of Neural Structure in Speech and Language Processing. 159-167
  
• Lei Xu, Adam Krzyzak, Erkki Oja:
  Neural Nets for Dual Subspace Pattern Recognition Method. 169-184
  
• Patrick J. Zwietering, Emile H. L. Aarts, Jaap Wessels:
  The Design and Complexity of Exact Multilayered Perceptrons. 185-199
  
• Marc M. Van Hulle:
  A Goal Programming Network for Mixed Integer Linear Programming: a CaseStudy for the Job-Shop Scheduling Problem. 201-209
  
• Jian-Xiong Wu, Chorkin Chan:
  A Three-Layer Adaptive Network for Pattern Density Estimation and Classification. 211-220
  
• Lluís Garrido, Vicens Gaitan:
  Use of Neural Nets to Measure The? Polarization and its Bayesian Interpretation. 221-228
  
• Christopher M. Bishop:
  A Fast Procedure for Retraining the Multilayer Perceptron. 229-236
  
• Vinod Menon, D. S. Tang:
  Population Oscillations in Neuronal Groups. 237-262
  
• Valter Rodrigues, Josef Skrzypek:
  Combining Similarities and Dissimilarities in Supervised Learning. 263-273
  

Volume 2, Number 4, 1991

• Neil Burgess, Mario Notturno Granieri, Stefano Patarnello:
  3-D Object Classification: Application of a Constructive Algorithm. 275-282
  
• Ronny Meir:
  On Deriving Deterministic Learning Rules from Stochastic Systems. 283-289
  
• Erik M. Johansson, Farid U. Dowla, Dennis M. Goodman:
  Backpropagation Learning for Multilayer Feed-Forward Neural Networks Using the Conjugate Gradient Method. 291-301
  
• Wolfgang Banzhaf, Manfred Schmutz:
  Some Notes on Competition Among Cell Assemblies. 303-313
  
• Mats Bengtsson:
  Asymptotic Properties of a Third Order Neural Network. 315-322
  
• Conrado J. Pérez Vicente, Jordi Carrabina, Elena Valderrama:
  Discrete Learning in Feed-Forward Neural Networks. 323-329
  
• Jiahan Chen, Michael A. Shanblatt, Chia-Yiu Maa:
  Improved Neural Networks For Linear and Nonlinear Programming. 331-339
  
• Mohammad Bahrami:
  Recognition of Rules and Exceptions by Neural Networks. 341-344
  
• Anthony V. Robins:
  Multiple Representations in Connectionist Systems. 345-362
  
• David G. Stork:
  Book Review: "Evolution of the First Nervous Systems", Peter A. V. Anderson (ed.). 363-365