Volume 11, Number 1, January 1998

• 
  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

Volume 11, Number 2, March 1998

• 
  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

Volume 11, Number 3, April 1998

• 
  Tianping Chen, Shun-ichi Amari, Qin Lin: A unified algorithm for principal and minor components extraction. 385-390
• 
  Francisco Javier 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/f power spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors. 449-466
• 
  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

Volume 11, Number 4, June 1998

• 
  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 H. 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

Volume 11, Number 5, July 1998

• 
  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, Zongben 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

Volume 11, Number 6, August 1998

• 
  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

Volume 11, Number 7-8, October 1998

• 
  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

Volume 11, Number 9, December 1998

• 
  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

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