External Links

    Journal: Neural Networks

    Volume 9, Issue 9

    1491 -- 1495A. A. Ezhov, V. L. Vvedensky. Object Generation with Neural Networks (When Spurious Memories are Useful)
    1497 -- 1511Karin P. Krommenhoek, A. John van Opstal, Jan A. M. van Gisbergen. An Analysis of Craniocentric and Oculocentric Coding Stages in a Neural Network Model of the Saccadic System
    1513 -- 1519Guy Wallis. Using Spatio-temporal Correlations to Learn Invariant Object Recognition
    1521 -- 1529Jason A. S. Freeman, David Saad. Radial Basis Function Networks: Generalization in Over-realizable and Unrealizable Scenarios
    1531 -- 1540Naoki Kurita, Ken-ichi Funahashi. On the Hopfield Neural Networks and Mean Field Theory
    1541 -- 1559Michael Georgiopoulos, Hans Fernlund, George Bebis, Gregory L. Heileman. Order of Search in Fuzzy ART and Fuzzy ARTMAP: Effect of the Choice Parameter
    1561 -- 1567F. Xabier Albizuri, Alicia D Anjou, Manuel Graña, José Antonio Lozano. Convergence Properties of High-order Boltzmann Machines
    1569 -- 1581Ruowei Zhou, Hiok Chai Quek. POPFNN: A Pseudo Outer-product Based Fuzzy Neural Network
    1583 -- 1596Stanislaw Osowski, Piotr Bojarczak, Maciej Stodolski. Fast Second Order Learning Algorithm for Feedforward Multilayer Neural Networks and its Applications
    1597 -- 1617Chi F. Fung, Stephen A. Billings, Wan Luo. On-line Supervised Adaptive Training Using Radial Basis Function Networks
    1619 -- 1637Guang L. Zheng, Stephen A. Billings. Radial Basis Function Network Configuration Using Mutual Information and the Orthogonal Least Squares Algorithm
    1639 -- 1645Santanu Das, A. B. Chattopadhyay, A. S. R. Murthy. Force Parameters for On-line Tool Wear Estimation: A Neural Network Approach

    Volume 9, Issue 8

    1265 -- 1279R. C. Miall, Daniel M. Wolpert. Forward Models for Physiological Motor Control
    1281 -- 1302Hiroyuki Miyamoto, Stefan Schaal, Francesca Gandolfo, Hiroaki Gomi, Yasuharu Koike, Rieko Osu, Eri Nakano, Yasuhiro Wada, Mitsuo Kawato. A Kendama Learning Robot Based on Bi-directional Theory
    1303 -- 1350Hiroshi Fujii, Hiroyuki Ito, Kazuyuki Aihara, Natsuhiro Ichinose, Minoru Tsukada. Dynamical Cell Assembly Hypothesis -- Theoretical Possibility of Spatio-temporal Coding in the Cortex
    1351 -- 1356Keisuke Toyama, Manabu Tanifuji. Imaging a Computational Process in the Visual Cortex
    1357 -- 1365Minoru Tsukada, Takeshi Aihara, Hide-aki Saito, Hiroshi Kato. Hippocampal LTP Depends on Spatial and Temporal Correlation of Inputs
    1367 -- 1383Chi-Sang Poon. Self-tuning Optimal Regulation of Respiratory Motor Output by Hebbian Covariance Learning
    1385 -- 1403Peter Dayan, Geoffrey E. Hinton. Varieties of Helmholtz Machine
    1405 -- 1415Keisuke Takebe, Shigeki Nakauchi, Shiro Usui. A Computational Model for Color Constancy by Separating Reflectance and Illuminant Edges within a Scene
    1417 -- 1427Masayuki Kikuchi, Kunihiko Fukushima. Neural Network Model of the Visual System: Binding Form and Motion
    1429 -- 1458Masato Okada. Notions of Associative Memory and Sparse Coding
    1459 -- 1475Keiji Tanaka. Representation of Visual Features of Objects in the Inferotemporal Cortex
    1477 -- 1489Masahiko Morita. Memory and Learning of Sequential Patterns by Nonmonotone Neural Networks

    Volume 9, Issue 7

    1095 -- 1098Hideka Kakeya, Toshiki Kindo. Hierarchical Concept Formation in Associative Memory Composed of Neuro-window Elements
    1099 -- 1118DeLiang Wang, Xiaomei Liu, Stanley C. Ahalt. On Temporal Generalization of Simple Recurrent Networks
    1119 -- 1129Jeff Shrager, Mark H. Johnson. Dynamic Plasticity Influences the Emergence of Function in a Simple Cortical Array
    1141 -- 1154Yuguang Fang, Michael A. Cohen, Thomas G. Kincaid. Dynamics of a Winner-Take-All Neural Network
    1155 -- 1171Valeriu Beiu, John G. Taylor. On the Circuit Complexity of Sigmoid Feedforward Neural Networks
    1173 -- 1184Ildikó Varga, Gábor Elek, Stanislaw H. Zak. On the Brain-State-in-a-Convex-Domain Neural Models
    1185 -- 1197John A. Flanagan. Self-organisation in Kohonen s SOM
    1199 -- 1211Ching-Tsan Chiang, Chun-Shin Lin. CMAC with General Basis Functions
    1213 -- 1222Dong-Gyu Jeong, Soo-Young Lee. Merging Back-propagation and Hebbian Learning Rules for Robust Classifications
    1223 -- 1240W. Weng, K. Khorasani. An Adaptive Structure Neural Networks with Application to EEG Automatic Seizure Detection
    1241 -- 1253Mengkang Peng, Narendra Kumar Gupta, Alistair F. Armitage. An Investigation into the Improvement of Local Minima of the Hopfield Network

    Volume 9, Issue 6

    921 -- 936Heiko Neumann. Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception
    937 -- 945David Saad. General Gaussian Priors for Improved Generalization
    947 -- 956Noboru Murata. An Integral Representation of Functions Using Three-layered Networks and Their Approximation Bounds
    957 -- 963Tao Wang, Zhaohan Sheng. Asymptotic Stationarity of Discrete-time Stochastic Neural Networks
    965 -- 978Mark Meltser, Moshe Shoham, Larry M. Manevitz. Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm
    979 -- 989Mahmut Hilmi Erdem, Yusuf Ozturk. A New Family of Multivalued Networks
    991 -- 998Jieyu Zhao, John Shawe-Taylor, Max van Daalen. Learning in Stochastic Bit Stream Neural Networks
    999 -- 1016. A Decomposition Principle for Complexity Reduction of Artificial Neural Networks
    1017 -- 1023Jirí Síma. Back-propagation is not Efficient
    1025 -- 1043Teresa Serrano-Gotarredona, Bernabé Linares-Barranco. A Modified ART 1 Algorithm more Suitable for VLSI Implementations
    1045 -- 1060Yougeshwar Bissessur, Raouf N. Gorgui-Naguib. Buried Plant Detection: A Volterra Series Modelling Approach Using Artificial Neural Networks
    1061 -- 1070Orly Yadid-Pecht, Moshe Gur. Efficient Biologically-based Pattern-recognizing Networks
    1071 -- 1083David A. Cohn. Neural Network Exploration Using Optimal Experiment Design

    Volume 9, Issue 5

    737 -- 746Hideyuki Koyama, Norio Fujie, Takamitsu Fujiwara. Analysis of the Recalling Processes of Associative Memory by an Integral Representation of the Sign Function
    747 -- 763Simon Clippingdale, Roland Wilson. Self-similar Neural Networks Based on a Kohonen Learning Rule
    765 -- 772David A. Sprecher. A Numerical Implementation of Kolmogorov s Superpositions
    773 -- 785Jean-Claude Fort, Gilles Pagès. About the Kohonen Algorithm: Strong or Weak Self-organization?
    787 -- 796Nikhil R. Pal, James C. Bezdek, Richard J. Hathaway. Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms
    797 -- 818Khashayar Pakdaman, Jean-François Vibert, Eric Boussard, Noureddine Azmy. Single Neuron with Recurrent Excitation: Effect of the Transmission Delay
    819 -- 835Anil Menon, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka. Characterization of a Class of Sigmoid Functions with Applications to Neural Networks
    837 -- 844Stephen Coombes, John G. Taylor. Using Features for the Storage of Patterns in a Fully Connected Net
    845 -- 854Stanislaw H. Zak, Walter E. Lillo, Stefen Hui. Learning and Forgetting in Generalized Brain-state-in-a-box (BSB) Neural Associative Memories
    855 -- 869Aleksander Kolcz, Nigel M. Allinson. N-tuple Regression Network
    871 -- 879Kenji Fukumizu. A Regularity Condition of the Information Matrix of a Multilayer Perceptron Network
    881 -- 897James R. Williamson. Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps
    899 -- 913Wen-Gou Lin, Shuenn-Shyang Wang. A New Neural Model for Invariant Pattern Recognition

    Volume 9, Issue 4

    555 -- 565S. P. Tonkin, Robert B. Pinter, Bahram Nabet. Stability of a class of directionally sensitive asymmetric nonlinear neural networks
    567 -- 573William L. Kilmer. Global inhibition for selecting modes of attention
    575 -- 588Walter Senn, Kuno Wyler, Jürg Streit, Matthew E. Larkum, Hans-Rudolf Lüscher, H. Mey, L. Müller, Daniel Stainhauser, K. Vogt, Thierry Wannier. Dynamics of a random neural network with synaptic depression
    589 -- 601Ralf Solomon, J. Leo van Hemmen. Accelerating backpropagation through dynamic self-adaptation
    603 -- 625Richard Stuart Neville, T. John Stonham. Adaptive critic for sigma-pi networks
    627 -- 641Chyi-Tsong Chen, Wei-Der Chang. A feedforward neural network with function shape autotuning
    643 -- 653Alexander V. Goltsev. An assembly neural network for texture segmentation
    655 -- 669Wen-Yuan Chen, Sin-Horng Chen, Cheng-Jung Lin. A speech recognition method based on the sequential multi-layer perceptrons
    671 -- 684Cheng-Yuan Liou, Jiann-Ming Wu. Self-organization using Potts models
    685 -- 693Alexander Shustorovich, Christopher W. Thrasher. Neural network positioning and classification of handwritten characters
    695 -- 708Harold Szu, Brian A. Telfer, Joseph Garcia. Wavelet transforms and neural networks for compression and recognition
    709 -- 720Qun Zhao, Zheng Bao. Radar target recognition using a radial basis function neural network
    721 -- 722Hrushikesh Narhar Mhaskar. Neural networks and approximation theory
    722 -- 0Jonathan Wray, Gary G. R. Green. Author s response
    723 -- 724Hilton Stowell. Naming the neuron in vain
    724 -- 725Kazuyuki Aihara, Kevin T. Judd. Author s response

    Volume 9, Issue 3

    373 -- 378H. Kong, Ling Guan. A neural network adaptive filter for the removal of impulse noise in digital images
    379 -- 395Sadayuki Hongo, Noboru Sonehara, Isamu Yoroizawa. Edge-based binocular stereopsis algorithm--a matching mechanism with probabilistic feedback
    397 -- 410Alexander V. Lukashin, George L. Wilcox, Apostolos P. Georgopoulos. Modeling of directional operations in the motor cortex: A noisy network of spiking neurons is trained to generate a neural-vector trajectory
    411 -- 426Ruye Wang. A network model for the optic flow computation of the MST neurons
    427 -- 434George A. Christos. Investigation of the Crick-Mitchison reverse-learning dream sleep hypothesis in a dynamical setting
    435 -- 444Erkki Oja, Liuyue Wang. Robust fitting by nonlinear neural units
    445 -- 455Friedhelm Schwenker, Friedrich T. Sommer, Günther Palm. Iterative retrieval of sparsely coded associative memory patterns
    457 -- 462Lutz Prechelt. A quantitative study of experimental evaluations of neural network learning algorithms: Current research practice
    463 -- 474Mary M. Moya, Don R. Hush. Network constraints and multi-objective optimization for one-class classification
    475 -- 481Theodore B. Trafalis, Nicolas P. Couellan. Neural network training via an affine scaling quadratic optimization algorithm
    483 -- 501Zong-Ben Xu, Guo-Qing Hu, Chung-Ping Kwong. Asymmetric Hopfield-type networks: Theory and applications
    503 -- 507Olivier François. New rigorous results for the Hopfield s neural network model
    509 -- 521Masumi Ishikawa. Structural learning with forgetting
    523 -- 541Takashi Matsumoto, Kenji Kondo. A massively parallel resistive network for weak rod : A double-layer architecture with nearest-neighbor connections

    Volume 9, Issue 2

    189 -- 209Yutaka Hirakura, Yoko Yamaguchi, Hiroshi Shimizu, Shinichi Nagai. Dynamic linking among neural oscillators leads to flexible pattern recognition with figure-ground separation
    211 -- 222Kenji Okajima. A model visual cortex incorporating intrinsic horizontal neuronal connections
    223 -- 242S. Azizi, Haluk Ögmen, B. H. Jansen. A unified analysis of alpha rhythm, fast synchronized oscillations, and flash visual evoked potentials
    243 -- 252Bill G. Horne, Don R. Hush. Bounds on the complexity of recurrent neural network implementations of finite state machines
    253 -- 261Iku Nemoto, Makoto Kubono. Complex associative memory
    263 -- 271Derek Partridge. Network generalization differences quantified
    273 -- 294Mark Plutowski, Garrison W. Cottrell, Halbert White. Experience with selecting exemplars from clean data
    295 -- 308Guszti Bartfai. On the match tracking anomaly of the ARTMAP neural network
    309 -- 319Alan L. Yuille, James A. Kolodny, C. W. Lee. Dimension reduction, generalized deformable models and the development of ocularity and orientation
    321 -- 328Todd W. Troyer. Feedforward Hebbian learning with nonlinear output units: a Lyapunov approach
    329 -- 336Hee-Heon Song, Seong-Whan Lee. LVQ combined with simulated annealing for optimal design of large-set reference models
    337 -- 344James E. L. Hollis, David J. Brown, Ian C. Luckraft, Christopher R. Gent. Feature vectors for road vehicle scene classification
    345 -- 356Akira Hasegawa, Kazuyoshi Itoh, Yoshiki Ichioka. Generalization of shift invariant neural networks: Image processing of corneal endothelium
    357 -- 366Yasunari Obuchi, Hironari Masui, Masaru Ohki. Weighted parallel problem solving by optimization networks

    Volume 9, Issue 1

    1 -- 14Hung-Jen Chang, Walter J. Freeman. Parameter optimization in models of the olfactory neural system
    15 -- 24William R. Softky. Fine analog coding minimizes information transmission
    25 -- 40Shin Ishi, Kenji Fukumizu, Sumio Watanabe. A network of chaotic elements for information processing
    41 -- 52Christian W. Omlin, C. Lee Giles. Extraction of rules from discrete-time recurrent neural networks
    53 -- 66Christopher M. Thomas, William G. Gibson, John Robinson. Stability and bifurcations in an associative memory model
    67 -- 82Mostefa Golea, Mario Marchand, Thomas R. Hancock. On learning ?-perceptron networks on the uniform distribution
    83 -- 97Régis Lengellé, Thierry Denoeux. Training MLPs layer by layer using an objective function for internal representations
    99 -- 102Rüdiger W. Brause. Sensor encoding using lateral inhibited self-organized cellular neural networks
    121 -- 127Akira Hasegawa, Kenji Shibata, Kazuyoshi Itoh, Yoshiki Ichioka, Kiyonari Inamura. An adaptive neural network: Application to character recognition on x-ray films
    129 -- 142Elizabeth C. Botha, Etienne Barnard, Charl J. Barnard. Feature-based classification of aerospace radar targets using neural networks
    143 -- 168Andrew M. Ukrainec, Simon Haykin. A modular neural network for enhancement of cross-polar radar targets
    169 -- 178Ralf Östermark. A flexible multicomputer algorithm for artificial neural networks
    runs on