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    Journal: Neural Networks

    Volume 11, Issue 9

    1571 -- 1588Mohamed Tajine, David A. Elizondo. The recursive deterministic perceptron neural network
    1589 -- 1599Masahiro Kimura, Ryohei Nakano. Learning dynamical systems by recurrent neural networks from orbits
    1601 -- 1605Jinde Cao, Dongming Zhou. Stability analysis of delayed cellular neural networks
    1607 -- 1622Yi-Jen Wang, Chin-Teng Lin. A second-order learning algorithm for multilayer networks based on block Hessian matrix
    1623 -- 1635Donq-Liang Lee, Wen-June Wang. A multivalued bidirectional associative memory operating on a complex domain
    1637 -- 1643Ali A. Sadeghi. Self-organization property of Kohonen s map with general type of stimuli distribution
    1645 -- 1657Guoping Liu 0003, Visakan Kadirkamanathan, Stephen A. Billings. On-line identification of nonlinear systems using Volterra polynomial basis function neural networks
    1659 -- 1670Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen. Neural classifier construction using regularization, pruning and test error estimation
    1671 -- 1684Cevdet Aykanat, Tevfik Bultan, Ismail Haritaoglu. A fast neural-network algorithm for VLSI cell placement
    1685 -- 1694David McLean, Zuhair Bandar, James O Shea. An empirical comparison of back propagation and the RDSE algorithm on continuously valued real world data
    1695 -- 1709M. S. Ahmed, M. A. Al-Dajani. Neural regulator design

    Volume 11, Issue 7-8

    1149 -- 1158Vladimir Brajovic, Ryohei Miyagawa, Takeo Kanade. Temporal photoreception for adaptive dynamic range image sensing and encoding
    1159 -- 1174Gregory Gancarz, Stephen Grossberg. A neural model of the saccade generator in the reticular formation
    1175 -- 1190Philippe Lefèvre, Christian Quaia, Lance M. Optican. Distributed model of control of saccades by superior colliculus and cerebellum
    1191 -- 1204Francesco Panerai, Giulio Sandini. Oculo-motor stabilization reflexes: integration of inertial and visual information
    1205 -- 1218Paul Dean, John Porrill. Pseudo-inverse control in biological systems: a learning mechanism for fixation stability
    1219 -- 1228Michael G. Paulin. A method for analysing neural computation using receptive fields in state space
    1229 -- 1240Christian Quaia, Lance M. Optican, Michael E. Goldberg. The maintenance of spatial accuracy by the perisaccadic remapping of visual receptive fields
    1241 -- 1251Jeffrey D. Schall, Doug P. Hanes. Neural mechanisms of selection and control of visually guided eye movements
    1253 -- 1258H. Sebastian Seung. Continuous attractors and oculomotor control
    1259 -- 1276Yasuo Kuniyoshi, Luc Berthouze. Neural learning of embodied interaction dynamics
    1277 -- 1303Andrew H. Fagg, Michael A. Arbib. Modeling parietal-premotor interactions in primate control of grasping
    1305 -- 1316Jacob J. van Heijst, Johan E. Vos, Daniel Bullock. Development in a biologically inspired spinal neural network for movement control
    1317 -- 1329Daniel M. Wolpert, Mitsuo Kawato. Multiple paired forward and inverse models for motor control
    1331 -- 1344Hiroyuki Miyamoto, Mitsuo Kawato. A tennis serve and upswing learning robot based on bi-directional theory
    1345 -- 1356Joseph A. Doeringer, Neville Hogan. Serial processing in human movement production
    1357 -- 1377Heidar A. Talebi, Khashayar Khorasani, Rajnikant V. Patel. Neural network based control schemes for flexible-link manipulators: simulations and experiments
    1379 -- 1394Matthew M. Williamson. Neural control of rhythmic arm movements
    1395 -- 1415Jean-Luc Buessler, Jean-Philippe Urban. Visually guided movements: learning with modular neural maps in robotics
    1417 -- 1428Pietro G. Morasso, Vittorio Sanguineti, Francesco Frisone, Luca Perico. Coordinate-free sensorimotor processing: computing with population codes
    1429 -- 1433Björn O. Peters, Gert Pfurtscheller, Henrik Flyvbjerg. Mining multi-channel EEG for its information content: an ANN-based method for a brain-computer interface
    1435 -- 1447Holk Cruse, Thomas Kindermann, Michael Schumm, Jeffrey Dean, Josef Schmitz. Walknet--a biologically inspired network to control six-legged walking
    1449 -- 1460Gennady S. Cymbalyuk, Roman Borisyuk, Uwe Müller-Wilm, Holk Cruse. Oscillatory network controlling six-legged locomotion: Optimization of model parameters
    1461 -- 1478Dario Floreano, Francesco Mondada. Evolutionary neurocontrollers for autonomous mobile robots
    1479 -- 1496Barbara Webb. Robots, crickets and ants: models of neural control of chemotaxis and phonotaxis
    1497 -- 1510Terrance L. Huntsberger, John Rose. BISMARC: a biologically inspired system for map-based autonomous rover control
    1511 -- 1529Juyang Weng, Shaoyun Chen. Vision-guided navigation using SHOSLIF
    1531 -- 1549Paul 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
    1551 -- 1569Christian Scheier, Rolf Pfeifer, Yasuo Kuniyoshi. Embedded neural networks: exploiting constraints

    Volume 11, Issue 6

    981 -- 983Tianping Chen. A unified approach for neural network-like approximation of non-linear functionals
    985 -- 1003Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka. Complexity of spatiotemporal activity of a neural network model which depends on the degree of synchronization
    1005 -- 1015Thierry Wannier, Walter Senn. Recruitment of reticulospinal neurones and steady locomotion in lamprey
    1017 -- 1025Hugues Bersini. The frustrated and compositional nature of chaos in small Hopfield networks
    1027 -- 1039Mitra Basu, Quan Liang. The fractional correction rule: a new perspective
    1041 -- 1048Burkhard Lenze. Complexity preserving increase of the capacity of bidirectional associative memories by dilation and translation
    1049 -- 1058Shin Suzuki. Constructive function-approximation by three-layer artificial neural networks
    1059 -- 1072Yutaka Fukuoka, Hideo Matsuki, Haruyuki Minamitani, Akimasa Ishida. A modified back-propagation method to avoid false local minima
    1073 -- 1082Shin Ishii, Masa-aki Sato. Constrained neural approaches to quadratic assignment problems
    1083 -- 1098Youngsik Kim, Mi-Jung Noh, Tack-Don Han, Shin-Dug Kim. Mapping of neural networks onto the memory-processor integrated architecture
    1099 -- 1112Jesús M. Zamarreño Cosme, Pastora Vega. State space neural network. Properties and application
    1113 -- 1125Hahn-Ming Lee, Kuo-Hsiu Chen, I-Feng Jiang. A neural network classifier with disjunctive fuzzy information
    1127 -- 1138Amit Gupta, Siuwa M. Lam. Weight decay backpropagation for noisy data
    1139 -- 1140Elias B. Kosmatopoulos, Manolis A. Christodoulou, Petros A. Ioannou. Correction on Dynamical neural networks that ensure exponential identification error convergence

    Volume 11, Issue 5

    785 -- 792Andrew C. C. Cheng, Ling Guan. A combined evolution method for associative memory networks
    793 -- 813Gail A. Carpenter, Boriana L. Milenova, Benjamin W. Noeske. Distributed ARTMAP: a neural network for fast distributed supervised learning
    815 -- 824Antony Browne. Detecting systematic structure in distributed representations
    825 -- 836Homayoun Navabi, Arun Agarwal. Adaptive response organizer network for space-time patterns in low level vision
    837 -- 850David M. Weber, David Casasent. The extended piecewise quadratic neural network
    851 -- 859Osamu Fujita. Statistical estimation of the number of hidden units for feedforward neural networks
    861 -- 868Tsungnan Lin, Bill G. Horne, C. Lee Giles. How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
    869 -- 876Holger Bosch, Franz J. Kurfess. Information storage capacity of incompletely connected associative memories
    877 -- 884Yee Leung, Tian-Xin Dong, Zong-Ben Xu. The optimal encodings for biased association in linear associative memories
    885 -- 895Bruno Apolloni, Giacomo Zamponi, Anna Maria Zanaboni. Learning fuzzy decision trees
    897 -- 908David D. Vogel. Auto-associative memory produced by disinhibition in a sparsely connected network
    909 -- 925Ralf Der, Darragh Smyth. Local online learning of coherent information
    927 -- 937Ichiro Tsuda, Akihiro Yamaguchi. Singular-continuous nowhere-differentiable attractors in neural systems
    939 -- 950Jun Wang, Guang Wu. A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations
    951 -- 962Alexander V. Goltsev, Donald C. Wunsch. Inhibitory connections in the assembly neural network for texture segmentation
    963 -- 973Ales Leonardis, Horst Bischof. An efficient MDL-based construction of RBF networks

    Volume 11, Issue 4

    577 -- 599Philip T. Quinlan. Structural change and development in real and artificial neural networks
    601 -- 609Francesco Palmieri, Michele Corvino. Self-association in multilayer linear networks with limited connectivity
    611 -- 621Stefan Reimann. On the design of artificial auto-associative neuronal networks
    623 -- 635Michael Egmont-Petersen, Jan L. Talmon, Arie Hasman, Anton W. Ambergen. Assessing the importance of features for multi-layer perceptrons
    637 -- 649Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller. The connection between regularization operators and support vector kernels
    651 -- 659Vera Kurková, Petr Savický, Katerina Hlavácková-Schindler. Representations and rates of approximation of real-valued Boolean functions by neural networks
    661 -- 667Robert M. Burton, Herold G. Dehling. Universal approximation in p-mean by neural networks
    669 -- 681Leonard G. C. Hamey. XOR has no local minima: A case study in neural network error surface analysis
    683 -- 690Ida G. Sprinkhuizen-Kuyper, Egbert J. W. Boers. The error surface of the 2-2-1 XOR network: The finite stationary points
    691 -- 697Richard H. R. Hahnloser. On the piecewise analysis of networks of linear threshold neurons
    699 -- 707Mario Ferraro, Terry Caelli. Neural computations of algebraic and geometrical structures
    709 -- 721Sybert Stroeve. An analysis of learning control by backpropagation through time
    723 -- 730Alan M. Parkinson, Dawood Y. Parpia. Intensity encoding in unsupervised neural nets
    731 -- 737Jose Aguilar. Definition of an energy function for the random neural to solve optimization problems
    739 -- 747Zheng Rong Yang, Sheng Chen. Robust maximum likelihood training of heteroscedastic probabilistic neural networks
    749 -- 759Hubert Y. Chan, Stanislaw H. Zak. Real-time synthesis of sparsely interconnected neural associative memories
    761 -- 767Lutz Prechelt. Automatic early stopping using cross validation: quantifying the criteria
    769 -- 777Mohamad 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

    Volume 11, Issue 3

    385 -- 390Tianping Chen, Shun-ichi Amari, Qin Lin. A unified algorithm for principal and minor components extraction
    391 -- 396Francisco J. González Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez. Fourier analysis of the generalized CMAC neural network
    397 -- 414Markus 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
    415 -- 434Joël Pham, Khashayar Pakdaman, Jean Champagnat, Jean-François Vibert. Activity in sparsely connected excitatory neural networks: effect of connectivity
    435 -- 439Kenji Okajima. The Gabor function extracts the maximum information from input local signals
    441 -- 447Kenji Okajima. Two-dimensional Gabor-type receptive field as derived by mutual information maximization
    449 -- 466Hung-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
    467 -- 477Ethem Alpaydin. Soft vector quantization and the EM algorithm
    479 -- 493Stephen A. Billings, Xia Hong. Dual-orthogonal radial basis function networks for nonlinear time series prediction
    495 -- 508Eugene M. Izhikevich. Multiple cusp bifurcations
    509 -- 519Khashayar 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
    521 -- 533Emmanuel Daucé, Mathias Quoy, Bruno Cessac, Bernard Doyon, Manuel Samuelides. Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning
    535 -- 547Loo-Nin Teow, Kia-Fock Loe. Effective learning in recurrent max-min neural networks
    549 -- 555Cathy M. Helgason, Thomas H. Jobe. The fuzzy cube and causal efficacy: representation of concomitant mechanisms in stroke
    557 -- 569Po Ki Yuen, Haim H. Bau. Controlling chaotic convection using neural nets--theory and experiments

    Volume 11, Issue 2

    189 -- 208Steven 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
    209 -- 213Ken-ichi Funahashi. Multilayer neural networks and Bayes decision theory
    215 -- 234Peter T. Szymanski, Michael D. Lemmon, Christopher J. Bett. Hybrid interior point training of modular neural networks
    235 -- 248Doron Stein, Arie Feuer. Cubic approximation neural network for multivariate functions
    249 -- 257Jun Nishii. A learning model for oscillatory networks
    259 -- 270Lorenzo Vecci, Francesco Piazza, Aurelio Uncini. Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks
    271 -- 282Naonori Ueda, Ryohei Nakano. Deterministic annealing EM algorithm
    283 -- 296Sarunas Raudys. Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers
    297 -- 313Sarunas Raudys. Evolution and generalization of a single neurone: : II. Complexity of statistical classifiers and sample size considerations
    315 -- 322C. N. S. Ganesh Murthy, Yedatore Venkatakrishnaiya Venkatesh. Encoded pattern classification using constructive learning algorithms based on learning vector quantization
    323 -- 336Gail A. Carpenter, Natalya Markuzon. ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
    337 -- 346Jung-Hsien Chiang. A hybrid neural network model in handwritten word recognition
    348 -- 357Hiroaki Kurokawa, Chun-ying Ho, Shinsaku Mori. The Neural Network Approach To A Parallel Decentralized Network Routing
    359 -- 376Pedro Martín, José del R. Millán. Learning reaching strategies through reinforcement for a sensor-based manipulator

    Volume 11, Issue 1

    1 -- 14Richard Rohwer, Michal Morciniec. The Theoretical and Experimental Status of the n-tuple Classifier
    15 -- 37Franco Scarselli, Ah Chung Tsoi. Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results
    39 -- 51Toshiki Kindo, Hideki Kakeya. A Geometrical Analysis of Associative Memory
    53 -- 64Sreerupa Das, Michael Mozer. Dynamic On-line Clustering and State Extraction: An Approach to Symbolic Learning
    65 -- 80Jie Zhang, A. J. Morris. A Sequential Learning Approach for Single Hidden Layer Neural Networks
    81 -- 87James W. Howse, Chaouki T. Abdallah, Gregory L. Heileman. A learning algorithm for applying synthesized stable dynamics to system identification
    89 -- 116Dirk Husmeier, John G. Taylor. Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL
    117 -- 140Jim Kay, Dario Floreano, William A. Phillips. Contextually guided unsupervised learning using local multivariate binary processors
    141 -- 144Rafik Braham. Incorporation of Long-Range Feedback in Neural Networks Under Stability Conditions
    145 -- 151H. Alejandro Ceccatto, Hugo D. Navone, Henri Waelbroeck. Learning persistent dynamics with neural networks
    153 -- 171Narayan Srinivasa, Rajeev Sharma. Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision Applications
    173 -- 182Andrei Cimponeriu, Julien Gresser. Precision Requirements for Closed-Loop Kinematic Robotic Control Using Linear Local Mappings
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