International Journal of Neural Systems, Volume 3

Volume 3, Supplement, 1992

• Stefano Fusi, Daniel J. Amit:
  Learning Constraints in Storage Capacity in Networks with Dynamic Synapses. 3-11
  
• Davide Badoni, Roberto Riccardi, Gaetano Salina:
  Learning Attractor Neural Network: The Electronic Implementation. 13-24
  
• Françoise Fogelman-Soulié:
  Practical Problems using Neural Networks. 25-30
  
• Luigi Stringa:
  A Visual Model for Pattern Recognition. 31-39
  
• Jean-Pierre Nadal, Néstor Parga:
  Information Processing by a Perceptron. 41-50
  
• Haim Sompolinsky, Michail Tsodyks:
  Processing of Sensory Information by a Network of Oscillators with Memory. 51-56
  
• Andreas V. M. Herz, Charles M. Marcus:
  Collective Behavior of Feedback Networks with Distributed Dynamics. 57-63
  
• Neil Burgess, Silvano Di Zenzo, Paolo Ferragina, Mario Notturno Granieri:
  The Generalization of a Constructive Algorithm in Pattern Classification Problems. 65-70
  
• Guido Boffetta, Rémi Monasson, Riccardo Zecchina:
  Memory Retrieval in Optimal Subspaces. 71-77
  

• Joseph J. Atick:
  Entropy Minimization: a Design Principle for Sensory Perception? 81-90
  
• John A. Hertz, Troels W. Kjær, Emad N. Eskandar, Barry J. Richmond:
  Measuring Natural Neural Processing with Artificial Neural Networks. 91-103
  
• Ad Aertsen, Eilon Vaadia, Moshe Abeles, Ehud Ahissar, Hagai Bergman, Benny Karmon, Yizhar Lavner, Eyal Margalit, Israel Nelken, Stefan Rotter:
  Dynamics of Coherence in Cortical Neural Activity: Experimental Observations and Functional Interpretations. 105-114
  
• Alessandro Treves:
  Local Neocortical Processing: a Time for Recognition. 115-119
  
• Antonio Malisia, Andrea Baghino, Marco Campani, Marco Straforini, Vincent Torre:
  The Use of Optical Flow for the Autonomous Navigation. 121-137
  
• Daniela Santucci, Gemma Calamandrei, Enrico Alleva:
  Social Behavior of CNS Neurons. 139-147
  
• Anthony C. C. Coolen, Andre J. Noest, G. B. de Vries:
  The Modelling of Chemical Modulation in Neural Networks. 149-161
  
• Emilio Merlo Pich, Paolo Del Giudice:
  Can Neural Networks be Used As Models for Neuropsychological Dysfunctions? 163-168
  
• William R. Softky, Christof Koch:
  Cortical Cells Do NOT Perform Temporal Integration of Small EPSPs. 169-173
  

• J. Irwin, Henrik G. Bohr, K. Mochizuki, Peter G. Wolynes:
  Classification and Prediction of Protein Side-Chains by Neural Network Techniques. 177-182
  
• David K. Tcheng, Shankar Subramaniam:
  Machine Approaches to Protein Feature Prediction. 183-193
  
• Silvio Franz, Marc Mézard, Giorgio Parisi:
  On The Mean Field Theory of Random Heteropolymers. 195-200
  
• Giulia Iori:
  Proteins and Random Heteropolymers: an Overview. 201-207
  
• Burkhard Rost, Chris Sander:
  Exercising Multi-Layered Networks on Protein Secondary Structure. 209-220
  
• Edgardo A. Ferrán, Pascual Ferrara:
  A Fast Method to Search for Protein Homologies Using Neural Networks. 221-226
  
• Joseph D. Bryngelson:
  When is a Potential Function Accurate Enough for Protein Structure Prediction? 227-233
  

• Bruce Denby:
  Quark Flavor Sensitivity of The Mammalian Cortex. 237-242
  
• Paolo Mazzanti, Roberto Odorico:
  Neural Network Discrimination of Heavy Flavor Jets: a Survey. 243-254
  
• Alessandro De Angelis, Marco Ciuchini, Paolo Del Giudice:
  Neural Networks for Physics Analysis in Delphi. 255-265
  
• J. Proriol, Alain Falvard, Pierre Henrard, Jacques Jousset, B. Brandl:
  Tagging B and C Quark Events in e⁺e^- Collisions with Neural Networks. 267-270
  
• J. Proriol:
  Pattern Recognition: Invariants in 3d. 271-276
  
• Jürgen Fent, A. Gruber, Christian Kiesling, Horst Oberlack, P. Ribarics:
  A Second Level Neural Network Trigger in the H1 Experiment at Hera. 277-284
  
• Clark S. Lindsey, Bruce Denby, Herman Haggerty, Ken Johns:
  Drift Chamber Tracking with a Vlsi Neural Network. 285-295
  
• Georg Stimpfl-Abele:
  Neural Nets for Kink Finding. 297
  
• Giuseppe Barbagli, Guido Castellini, Gregorio Landi, Stefano Vettori:
  A Study of Track Finding with a Neural Network Algorithm. 303-308
  
• Paula Eerola, Jussi Kalkkinen, Alessandro De Angelis, Gabriele Cosmo, N. De Groot, Martin Los, L. Lyons, Ezio Torassa, Erik Vallazza:
  Classification of The Decays of the Z⁰ into b and c Quark Pairs Using a Neural Network. 309-314
  
• S. Bianchin, A. Domini, M. Dall'Agata, M. De Nardi, F. Zara, Bruce Denby, Naor Wainer, Mark Dickson:
  Jet Classification at Cdf. 315
  
• Martin Los:
  Classifying Jet Cascades with a Muon Using a Neural Network. 321-330
  
• Helmut F. Teykal:
  Electron and Pion Identification by Neural Networks and Standard Methods. 331-336
  

Volume 3, Number 1, 1992

• Erik D. Lumer:
  Selective Attention to Perceptual Groups: the Phase Tracking Mechanism. 1-17
  
• Akira Namatame, Yoshiaki Tsukamoto:
  Structural Connectionist Learning with Complementary Coding. 19-30
  
• Kevin N. Gurney:
  Training Recurrent Nets of Hardware Realisable Sigma-PI Units. 31-42
  
• Yun Peng, James A. Reggia, Tao Li:
  A Connectionist Approach to Vertex Covering Problems. 43-56
  
• Eamon P. Fulcher:
  Wis-Art: Unsupervised Clustering with RAM Discriminators. 57-63
  
• Peter Fedor:
  Principles of the Design of D-Neuronal Networks I: Net Representation for Computer Simulation of a Melody Compositional Process. 65-73
  
• Peter Fedor:
  Principles of The Design of D-Neuronal Networks II: Composing Simple Melodies. 75-82
  
• David Saad:
  Training Recurrent Neural Networks - The Minimal Trajectory Algorithm. 83-101
  

Volume 3, Number 2, 1992

• Howard C. Card, Christian R. Schneider:
  Analog Cmos Neural Circuits - In Situ Learning. 103-124
  
• Mark W. Goudreau, C. Lee Giles:
  Routing in Random Multistage Interconnections Networks: Comparing Exhaustive Search, Greedy and Neural Network Approaches. 125-142
  
• Patrick J. Zwietering, Emile H. L. Aarts, Jaap Wessels:
  Exact Classification with Two-Layered Perceptrons. 143-156
  
• David Saad, R. Sasson:
  Examining the Chir Algorithm Performance for Multilayer Networks and Continuous Input Vectors. 157-165
  
• I. Ginzberg, David Horn:
  Learning the Rule of a Time Series. 167-177
  
• Hung-Jen Chang, Joydeep Ghosh, Kadir Liano:
  A Macroscopic Model of Neural Ensembles: Learning-Induced Oscillations in a Cell Assembly. 179-198
  
• Shahram Hejazi, Stephen M. Bauer, Robert A. Spangler:
  Neural Network Analysis of Thermal Image Data. 199-207
  
• K. T. Sun, Hsin-Chia Fu:
  A Neural Network Implementation for the Traffic Control Problem on Crossbar Switch Networks. 209-218
  

Volume 3, Number 3, 1992

• Jake Reynolds, Lionel Tarassenko:
  Spoken Letter Recognition with Neural Networks. 219-235
  
• Zhaoping Li:
  Different Retinal Ganglion Cells have Different Functional Goals. 237-248
  
• Oron Shagrir:
  A Neural Net With Self-Inhibiting Units For The N-Queens Problem. 249-252
  
• Lei Xu, Stan Klasa, Alan L. Yuille:
  Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. 253-290
  
• Mo-Yuen Chow, Sue Oi Yee:
  A Measure of Relative Robustness for Feedforward Neural Networks Subject to Small Input Perturbations. 291-299
  
• Fu-Lai Chung, Tan Lee:
  A Node Pruning Algorithm for Backpropagation Networks. 301-314
  
• Shaohua Tan, Jianbin Hao, Joos Vandewalle:
  Pattern Storage and Hopfield Neural Associative Memory with Hidden Structure. 315-322
  

Volume 3, Number 4, 1992

• Joydeep Ghosh, Yoan Shin:
  Efficient Higher-Order Neural Networks for Classification and Function Approximation. 323-350
  
• Hernán A. Makse, Roberto P. J. Perazzo:
  The Thermodynamics of Dyslexic Learning. 351-360
  
• Hong Yan:
  Building a Robust Nearest Neighbor Classifier Containing Only a Small Number of rototypes. 361-369
  
• François Chapeau-Blondeau, Gilbert A. Chauvet:
  Dynamic Properties of A Biologically Motivated Neural Network Model. 371-378
  
• Riccardo Zecchina:
  Neural Network with Local Short Memory and Complex Updating. 379-387
  
• Márcia M. Ochi, O. L. T. De Menezes:
  Retrieval in Interacting Neural Networks. 389-393
  
• Rei-Yao Wu, Wen-Hsiang Tsai:
  A Single-Layer Neural Network for Parallel Thinning. 395-404