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ORCIDInternational 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, 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 - Joseph Proriol, Alain Falvard, Pierre Henrard, Jacques Jousset, B. Brandl:
Tagging B and C Quark Events in e+e- Collisions with Neural Networks. 267-270 - Joseph 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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