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, André 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

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