- Richard Rohwer, Michal Morciniec:
**The Theoretical and Experimental Status of the n-tuple Classifier.**1-14

- Franco Scarselli, Ah Chung Tsoi:
**Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results.**15-37

- Toshiki Kindo, Hideki Kakeya:
**A Geometrical Analysis of Associative Memory.**39-51

- Sreerupa Das, Michael Mozer:
**Dynamic On-line Clustering and State Extraction: An Approach to Symbolic Learning.**53-64

- Jie Zhang, A. J. Morris:
**A Sequential Learning Approach for Single Hidden Layer Neural Networks.**65-80

- James W. Howse, Chaouki T. Abdallah, Gregory L. Heileman:
**A learning algorithm for applying synthesized stable dynamics to system identification.**81-87

- Dirk Husmeier, John G. Taylor:
**Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL.**89-116

- Jim Kay, Dario Floreano, William A. Phillips:
**Contextually guided unsupervised learning using local multivariate binary processors.**117-140

- Rafik Braham:
**Incorporation of Long-Range Feedback in Neural Networks Under Stability Conditions.**141-144

- H. Alejandro Ceccatto, Hugo D. Navone, Henri Waelbroeck:
**Learning persistent dynamics with neural networks.**145-151

- Narayan Srinivasa, Rajeev Sharma:
**Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision Applications.**153-171

- Andrei Cimponeriu, Julien Gresser:
**Precision Requirements for Closed-Loop Kinematic Robotic Control Using Linear Local Mappings.**173-182

- Steven J. Olson, Stephen Grossberg:
**A neural network model for the development of simple and complex cell receptive fields within cortical maps of orientation and ocular dominance.**189-208

- Ken-ichi Funahashi:
**Multilayer neural networks and Bayes decision theory.**209-213

- Peter T. Szymanski, Michael D. Lemmon, Christopher J. Bett:
**Hybrid interior point training of modular neural networks.**215-234

- Doron Stein, Arie Feuer:
**Cubic approximation neural network for multivariate functions.**235-248

- Jun Nishii:
**A learning model for oscillatory networks.**249-257

- Lorenzo Vecci, Francesco Piazza, Aurelio Uncini:
**Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks.**259-270

- Naonori Ueda, Ryohei Nakano:
**Deterministic annealing EM algorithm.**271-282

- Sarunas Raudys:
**Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers.**283-296

- Sarunas Raudys:
**Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations.**297-313

- C. N. S. Ganesh Murthy, Yedatore Venkatakrishnaiya Venkatesh:
**Encoded pattern classification using constructive learning algorithms based on learning vector quantization.**315-322

- Gail A. Carpenter, Natalya Markuzon:
**ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases.**323-336

- Jung-Hsien Chiang:
**A hybrid neural network model in handwritten word recognition.**337-346

- Hiroaki Kurokawa, Chun-ying Ho, Shinsaku Mori:
**The Neural Network Approach To A Parallel Decentralized Network Routing.**348-357

- Pedro Martín, José del R. Millán:
**Learning reaching strategies through reinforcement for a sensor-based manipulator.**359-376

- Tianping Chen, Shun-ichi Amari, Qin Lin:
**A unified algorithm for principal and minor components extraction.**385-390

- Francisco J. González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
**Fourier analysis of the generalized CMAC neural network.**391-396

- Markus Lappe:
**A model of the combination of optic flow and extraretinal eye movement signals in primate extrastriate visual cortex: Neural model of self-motion from optic flow and extraretinal cues.**397-414

- Joël Pham, Khashayar Pakdaman, Jean Champagnat, Jean-François Vibert:
**Activity in sparsely connected excitatory neural networks: effect of connectivity.**415-434

- Kenji Okajima:
**The Gabor function extracts the maximum information from input local signals.**435-439

- Kenji Okajima:
**Two-dimensional Gabor-type receptive field as derived by mutual information maximization.**441-447

- Hung-Jen Chang, Walter J. Freeman, Brian C. Burke:
**Optimization of olfactory model in software to give 1/**449-466*f*power spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors.

- Ethem Alpaydin:
**Soft vector quantization and the EM algorithm.**467-477

- Stephen A. Billings, Xia Hong:
**Dual-orthogonal radial basis function networks for nonlinear time series prediction.**479-493

- Eugene M. Izhikevich:
**Multiple cusp bifurcations.**495-508

- Khashayar Pakdaman, C. Grotta-Ragazzo, C. P. Malta, Ovide Arino, Jean-François Vibert:
**Effect of delay on the boundary of the basin of attraction in a system of two neurons.**509-519

- Emmanuel Daucé, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides:
**Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning.**521-533

- Loo-Nin Teow, Kia-Fock Loe:
**Effective learning in recurrent max-min neural networks.**535-547

- Cathy M. Helgason, Thomas H. Jobe:
**The fuzzy cube and causal efficacy: representation of concomitant mechanisms in stroke.**549-555

- Po Ki Yuen, Haim H. Bau:
**Controlling chaotic convection using neural nets--theory and experiments.**557-569

- Philip T. Quinlan:
**Structural change and development in real and artificial neural networks.**577-599

- Francesco Palmieri, Michele Corvino:
**Self-association in multilayer linear networks with limited connectivity.**601-609

- Stefan Reimann:
**On the design of artificial auto-associative neuronal networks.**611-621

- Michael Egmont-Petersen, Jan L. Talmon, Arie Hasman, Anton W. Ambergen:
**Assessing the importance of features for multi-layer perceptrons.**623-635

- Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller:
**The connection between regularization operators and support vector kernels.**637-649

- Vera Kurková, Petr Savický, Katerina Hlavácková-Schindler:
**Representations and rates of approximation of real-valued Boolean functions by neural networks.**651-659

- Robert M. Burton, Herold G. Dehling:
**Universal approximation in p-mean by neural networks.**661-667

- Leonard G. C. Hamey:
**XOR has no local minima: A case study in neural network error surface analysis.**669-681

- Ida G. Sprinkhuizen-Kuyper, Egbert J. W. Boers:
**The error surface of the 2-2-1 XOR network: The finite stationary points.**683-690

- Richard H. R. Hahnloser:
**On the piecewise analysis of networks of linear threshold neurons.**691-697

- Mario Ferraro, Terry Caelli:
**Neural computations of algebraic and geometrical structures.**699-707

- Sybert Stroeve:
**An analysis of learning control by backpropagation through time.**709-721

- Alan M. Parkinson, Dawood Y. Parpia:
**Intensity encoding in unsupervised neural nets.**723-730

- Jose Aguilar:
**Definition of an energy function for the random neural to solve optimization problems.**731-737

- Zheng Rong Yang, Sheng Chen:
**Robust maximum likelihood training of heteroscedastic probabilistic neural networks.**739-747

- Hubert Y. Chan, Stanislaw H. Zak:
**Real-time synthesis of sparsely interconnected neural associative memories.**749-759

- Lutz Prechelt:
**Automatic early stopping using cross validation: quantifying the criteria.**761-767

- Mohamad T. Musavi, Ronald J. Bryant, M. Qiao, Muriel T. Davisson, E. C. Akeson, B. D. French:
**Mouse chromosome classification by radial basis function network with fast orthogonal search.**769-777

- Andrew C. C. Cheng, Ling Guan:
**A combined evolution method for associative memory networks.**785-792

- Gail A. Carpenter, Boriana L. Milenova, Benjamin W. Noeske:
**Distributed ARTMAP: a neural network for fast distributed supervised learning.**793-813

- Antony Browne:
**Detecting systematic structure in distributed representations.**815-824

- Homayoun Navabi, Arun Agarwal:
**Adaptive response organizer network for space-time patterns in low level vision.**825-836

- David M. Weber, David Casasent:
**The extended piecewise quadratic neural network.**837-850

- Osamu Fujita:
**Statistical estimation of the number of hidden units for feedforward neural networks.**851-859

- Tsungnan Lin, Bill G. Horne, C. Lee Giles:
**How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies.**861-868

- Holger Bosch, Franz J. Kurfess:
**Information storage capacity of incompletely connected associative memories.**869-876

- Yee Leung, Tian-Xin Dong, Zong-Ben Xu:
**The optimal encodings for biased association in linear associative memories.**877-884

- Bruno Apolloni, Giacomo Zamponi, Anna Maria Zanaboni:
**Learning fuzzy decision trees.**885-895

- David D. Vogel:
**Auto-associative memory produced by disinhibition in a sparsely connected network.**897-908

- Ralf Der, Darragh Smyth:
**Local online learning of coherent information.**909-925

- Ichiro Tsuda, Akihiro Yamaguchi:
**Singular-continuous nowhere-differentiable attractors in neural systems.**927-937

- Jun Wang, Guang Wu:
**A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations.**939-950

- Alexander V. Goltsev, Donald C. Wunsch:
**Inhibitory connections in the assembly neural network for texture segmentation.**951-962

- Ales Leonardis, Horst Bischof:
**An efficient MDL-based construction of RBF networks.**963-973

- Tianping Chen:
**A unified approach for neural network-like approximation of non-linear functionals.**981-983

- Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka:
**Complexity of spatiotemporal activity of a neural network model which depends on the degree of synchronization.**985-1003

- Thierry Wannier, Walter Senn:
**Recruitment of reticulospinal neurones and steady locomotion in lamprey.**1005-1015

- Hugues Bersini:
**The frustrated and compositional nature of chaos in small Hopfield networks.**1017-1025

- Mitra Basu, Quan Liang:
**The fractional correction rule: a new perspective.**1027-1039

- Burkhard Lenze:
**Complexity preserving increase of the capacity of bidirectional associative memories by dilation and translation.**1041-1048

- Shin Suzuki:
**Constructive function-approximation by three-layer artificial neural networks.**1049-1058

- Yutaka Fukuoka, Hideo Matsuki, Haruyuki Minamitani, Akimasa Ishida:
**A modified back-propagation method to avoid false local minima.**1059-1072

- Shin Ishii, Masa-aki Sato:
**Constrained neural approaches to quadratic assignment problems.**1073-1082

- Youngsik Kim, Mi-Jung Noh, Tack-Don Han, Shin-Dug Kim:
**Mapping of neural networks onto the memory-processor integrated architecture.**1083-1098

- Jesús M. Zamarreño Cosme, Pastora Vega:
**State space neural network. Properties and application.**1099-1112

- Hahn-Ming Lee, Kuo-Hsiu Chen, I-Feng Jiang:
**A neural network classifier with disjunctive fuzzy information.**1113-1125

- Amit Gupta, Siuwa M. Lam:
**Weight decay backpropagation for noisy data.**1127-1138

- Elias B. Kosmatopoulos, Manolis A. Christodoulou, Petros A. Ioannou:
**Correction on 'Dynamical neural networks that ensure exponential identification error convergence'.**1139-1140

- Vladimir Brajovic, Ryohei Miyagawa, Takeo Kanade:
**Temporal photoreception for adaptive dynamic range image sensing and encoding.**1149-1158

- Gregory Gancarz, Stephen Grossberg:
**A neural model of the saccade generator in the reticular formation.**1159-1174

- Philippe Lefèvre, Christian Quaia, Lance M. Optican:
**Distributed model of control of saccades by superior colliculus and cerebellum.**1175-1190

- Francesco Panerai, Giulio Sandini:
**Oculo-motor stabilization reflexes: integration of inertial and visual information.**1191-1204

- Paul Dean, John Porrill:
**Pseudo-inverse control in biological systems: a learning mechanism for fixation stability.**1205-1218

- Michael G. Paulin:
**A method for analysing neural computation using receptive fields in state space.**1219-1228

- Christian Quaia, Lance M. Optican, Michael E. Goldberg:
**The maintenance of spatial accuracy by the perisaccadic remapping of visual receptive fields.**1229-1240

- Jeffrey D. Schall, Doug P. Hanes:
**Neural mechanisms of selection and control of visually guided eye movements.**1241-1251

- H. Sebastian Seung:
**Continuous attractors and oculomotor control.**1253-1258

- Yasuo Kuniyoshi, Luc Berthouze:
**Neural learning of embodied interaction dynamics.**1259-1276

- Andrew H. Fagg, Michael A. Arbib:
**Modeling parietal-premotor interactions in primate control of grasping.**1277-1303

- Jacob J. van Heijst, Johan E. Vos, Daniel Bullock:
**Development in a biologically inspired spinal neural network for movement control.**1305-1316

- Daniel M. Wolpert, Mitsuo Kawato:
**Multiple paired forward and inverse models for motor control.**1317-1329

- Hiroyuki Miyamoto, Mitsuo Kawato:
**A tennis serve and upswing learning robot based on bi-directional theory.**1331-1344

- Joseph A. Doeringer, Neville Hogan:
**Serial processing in human movement production.**1345-1356

- Heidar A. Talebi, Khashayar Khorasani, Rajnikant V. Patel:
**Neural network based control schemes for flexible-link manipulators: simulations and experiments.**1357-1377

- Matthew M. Williamson:
**Neural control of rhythmic arm movements.**1379-1394

- Jean-Luc Buessler, Jean-Philippe Urban:
**Visually guided movements: learning with modular neural maps in robotics.**1395-1415

- Pietro G. Morasso, Vittorio Sanguineti, Francesco Frisone, Luca Perico:
**Coordinate-free sensorimotor processing: computing with population codes.**1417-1428

- Björn O. Peters, Gert Pfurtscheller, Henrik Flyvbjerg:
**Mining multi-channel EEG for its information content: an ANN-based method for a brain-computer interface.**1429-1433

- Holk Cruse, Thomas Kindermann, Michael Schumm, Jeffrey Dean, Josef Schmitz:
**Walknet--a biologically inspired network to control six-legged walking.**1435-1447

- Gennady S. Cymbalyuk, Roman Borisyuk, Uwe Müller-Wilm, Holk Cruse:
**Oscillatory network controlling six-legged locomotion: Optimization of model parameters.**1449-1460

- Dario Floreano, Francesco Mondada:
**Evolutionary neurocontrollers for autonomous mobile robots.**1461-1478

- Barbara Webb:
**Robots, crickets and ants: models of neural control of chemotaxis and phonotaxis.**1479-1496

- Terrance L. Huntsberger, John Rose:
**BISMARC: a biologically inspired system for map-based autonomous rover control.**1497-1510

- Juyang Weng, Shaoyun Chen:
**Vision-guided navigation using SHOSLIF.**1511-1529

- Paul F. M. J. Verschure, Thomas Voegtlin:
**A bottom up approach towards the acquisition and expression of sequential representations applied to a behaving real-world device: Distributed Adaptive Control III.**1531-1549

- Christian Scheier, Rolf Pfeifer, Yasuo Kuniyoshi:
**Embedded neural networks: exploiting constraints.**1551-1569

- Mohamed Tajine, David A. Elizondo:
**The recursive deterministic perceptron neural network.**1571-1588

- Masahiro Kimura, Ryohei Nakano:
**Learning dynamical systems by recurrent neural networks from orbits.**1589-1599

- Jinde Cao, Dongming Zhou:
**Stability analysis of delayed cellular neural networks.**1601-1605

- Yi-Jen Wang, Chin-Teng Lin:
**A second-order learning algorithm for multilayer networks based on block Hessian matrix.**1607-1622

- Donq-Liang Lee, Wen-June Wang:
**A multivalued bidirectional associative memory operating on a complex domain.**1623-1635

- Ali A. Sadeghi:
**Self-organization property of Kohonen's map with general type of stimuli distribution.**1637-1643

- Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings:
**On-line identification of nonlinear systems using Volterra polynomial basis function neural networks.**1645-1657

- Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen:
**Neural classifier construction using regularization, pruning and test error estimation.**1659-1670

- Cevdet Aykanat, Tevfik Bultan, Ismail Haritaoglu:
**A fast neural-network algorithm for VLSI cell placement.**1671-1684

- David McLean, Zuhair Bandar, James O'Shea:
**An empirical comparison of back propagation and the RDSE algorithm on continuously valued real world data.**1685-1694

- M. S. Ahmed, M. A. Al-Dajani:
**Neural regulator design.**1695-1709