Volume 3, Supplement, 1992
General Talks
- 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

Biological Applications
- 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

Applications to Protein Folding
High Energy Physics Applications
- 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
Volume 3, Number 4, 1992
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