Neural Networks, Volume 9

Volume 9, Number 1, January 1996

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

Volume 9, Number 2, March 1996

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

Volume 9, Number 3, April 1996

• H. Kong, Ling Guan:
  A neural network adaptive filter for the removal of impulse noise in digital images. 373-378
  
• Sadayuki Hongo, Noboru Sonehara, Isamu Yoroizawa:
  Edge-based binocular stereopsis algorithm--a matching mechanism with probabilistic feedback. 379-395
  
• Alexander 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. 397-410
  
• Ruye Wang:
  A network model for the optic flow computation of the MST neurons. 411-426
  
• George A. Christos:
  Investigation of the Crick-Mitchison reverse-learning dream sleep hypothesis in a dynamical setting. 427-434
  
• Erkki Oja, Liuyue Wang:
  Robust fitting by nonlinear neural units. 435-444
  
• Friedhelm Schwenker, Friedrich T. Sommer, Günther Palm:
  Iterative retrieval of sparsely coded associative memory patterns. 445-455
  
• Lutz Prechelt:
  A quantitative study of experimental evaluations of neural network learning algorithms: Current research practice. 457-462
  
• Mary M. Moya, Don R. Hush:
  Network constraints and multi-objective optimization for one-class classification. 463-474
  
• Theodore B. Trafalis, Nicolas P. Couellan:
  Neural network training via an affine scaling quadratic optimization algorithm. 475-481
  
• Zongben Xu, Guo-Qing Hu, Chung-Ping Kwong:
  Asymmetric Hopfield-type networks: Theory and applications. 483-501
  
• Olivier François:
  New rigorous results for the Hopfield's neural network model. 503-507
  
• Masumi Ishikawa:
  Structural learning with forgetting. 509-521
  
• Takashi Matsumoto, Kenji Kondo:
  A massively parallel resistive network for "weak rod": A double-layer architecture with nearest-neighbor connections. 523-541
  

Volume 9, Number 4, June 1996

• S. P. Tonkin, Robert B. Pinter, Bahram Nabet:
  Stability of a class of directionally sensitive asymmetric nonlinear neural networks. 555-565
  
• William L. Kilmer:
  Global inhibition for selecting modes of attention. 567-573
  
• Walter 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. 575-588
  
• Ralf Solomon, J. Leo van Hemmen:
  Accelerating backpropagation through dynamic self-adaptation. 589-601
  
• Richard Stuart Neville, T. John Stonham:
  Adaptive critic for sigma-pi networks. 603-625
  
• Chyi-Tsong Chen, Wei-Der Chang:
  A feedforward neural network with function shape autotuning. 627-641
  
• Alexander V. Goltsev:
  An assembly neural network for texture segmentation. 643-653
  
• Wen-Yuan Chen, Sin-Horng Chen, Cheng-Jung Lin:
  A speech recognition method based on the sequential multi-layer perceptrons. 655-669
  
• Cheng-Yuan Liou, Jiann-Ming Wu:
  Self-organization using Potts models. 671-684
  
• Alexander Shustorovich, Christopher W. Thrasher:
  Neural network positioning and classification of handwritten characters. 685-693
  
• Harold Szu, Brian A. Telfer, Joseph Garcia:
  Wavelet transforms and neural networks for compression and recognition. 695-708
  
• Qun Zhao, Zheng Bao:
  Radar target recognition using a radial basis function neural network. 709-720
  
• Hrushikesh Narhar Mhaskar:
  Neural networks and approximation theory. 721-722
  
• Jonathan Wray, Gary G. R. Green:
  Author's response. 722-
  
• Hilton Stowell:
  Naming the neuron in vain. 723-724
  
• Kazuyuki Aihara, Kevin T. Judd:
  Author's response. 724-725
  

Volume 9, Number 5, July 1996

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

Volume 9, Number 6, August 1996

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

Volume 9, Number 7, October 1996

• Hideka Kakeya, Toshiki Kindo:
  Hierarchical Concept Formation in Associative Memory Composed of Neuro-window Elements. 1095-1098
  
• DeLiang Wang, Xiaomei Liu, Stanley C. Ahalt:
  On Temporal Generalization of Simple Recurrent Networks. 1099-1118
  
• Jeff Shrager, Mark H. Johnson:
  Dynamic Plasticity Influences the Emergence of Function in a Simple Cortical Array. 1119-1129
  
• Juraj Pavlasek, Juraj Polenda, Fedor Jagla:
  Time Intervals Comparing Neural Network. 1131-1140
  
• Yuguang Fang, Michael A. Cohen, Thomas G. Kincaid:
  Dynamics of a Winner-Take-All Neural Network. 1141-1154
  
• Valeriu Beiu, John G. Taylor:
  On the Circuit Complexity of Sigmoid Feedforward Neural Networks. 1155-1171
  
• Ildikó Varga, Gábor Elek, Stanislaw H. Zak:
  On the Brain-State-in-a-Convex-Domain Neural Models. 1173-1184
  
• John A. Flanagan:
  Self-organisation in Kohonen's SOM. 1185-1197
  
• Ching-Tsan Chiang, Chun-Shin Lin:
  CMAC with General Basis Functions. 1199-1211
  
• Dong-Gyu Jeong, Soo-Young Lee:
  Merging Back-propagation and Hebbian Learning Rules for Robust Classifications. 1213-1222
  
• W. Weng, K. Khorasani:
  An Adaptive Structure Neural Networks with Application to EEG Automatic Seizure Detection. 1223-1240
  
• Mengkang Peng, Narendra Kumar Gupta, Alistair F. Armitage:
  An Investigation into the Improvement of Local Minima of the Hopfield Network. 1241-1253
  

Volume 9, Number 8, November 1996

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

Volume 9, Number 9, December 1996

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

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