Neural Networks, Volume 14

Volume 14, Number 1, January 2001

• Thomas J. Anastasio:
  A pattern correlation model of vestibulo-ocular reflex habituation. 1-22
  
• Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
  Optimal control by least squares support vector machines. 23-35
  
• Vladimir Cherkassky, Xuhui Shao:
  Signal estimation and denoising using VC-theory. 37-52
  
• Masashi Sugiyama, Hidemitsu Ogawa:
  Incremental projection learning for optimal generalization. 53-66
  
• Masashi Sugiyama, Hidemitsu Ogawa:
  Properties of incremental projection learning. 67-78
  
• Akiko Nakashima, Akira Hirabayashi, Hidemitsu Ogawa:
  Error correcting memorization learning for noisy training examples. 79-92
  
• Armando Blanco, Miguel Delgado, Marial del Carmen Pegalajar Jiménez:
  A real-coded genetic algorithm for training recurrent neural networks. 93-105
  
• J. Park, H.-Y. Kim, Y. Park, S.-W. Lee:
  A synthesis procedure for associative memories based on space-varying cellular neural networks. 107-113
  
• Gee-Hyuk Lee, Nabil H. Farhat:
  The Bifurcating Neuron Network 1. 115-131
  

Volume 14, Number 2, March 2001

• Jean-Jacques E. Slotine, Winfried Lohmiller:
  Modularity, evolution, and the binding problem: a view from stability theory. 137-145
  
• Chi-Sing Leung, Kwok-Wo Wong, Pui-Fai Sum, Lai-Wan Chan:
  A pruning method for the recursive least squared algorithm. 147-174
  
• Pierre Courrieu:
  Two methods for encoding clusters. 175-183
  
• Nam Mai-Duy, Thanh Tran-Cong:
  Numerical solution of differential equations using multiquadric radial basis function networks. 185-199
  
• Tomohiro Shibata, Stefan Schaal:
  Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks. 201-216
  
• Chuangyin Dang, Lei Xu:
  A globally convergent Lagrange and barrier function iterative algorithm for the traveling salesman problem. 217-230
  
• Alexander Nikov, Stefka Stoeva:
  Quick fuzzy backpropagation algorithm. 231-244
  

Volume 14, Number 3, April 2001

• Tianping Chen, Shun-ichi Amari:
  New theorems on global convergence of some dynamical systems. 251-255
  
• Jouko Lampinen, Aki Vehtari:
  Bayesian approach for neural networks--review and case studies. 257-274
  
• Jan Storck, Frank Jäkel, Gustavo Deco:
  Temporal clustering with spiking neurons and dynamic synapses: towards technological applications. 275-285
  
• Victoria J. Hodge, Jim Austin:
  An evaluation of standard retrieval algorithms and a binary neural approach. 287-303
  
• Hiok Chai Quek, K. B. Tan, Vijay K. Sagar:
  Pseudo-outer product based fuzzy neural network fingerprint verification system. 305-323
  
• Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie:
  A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters. 325-344
  
• Ladan Shams, Mark J. Brady, Stefan Schaal:
  Graph matching vs mutual information maximization for object detection. 345-354
  
• Birsel Ayrulu, Billur Barshan:
  Neural networks for improved target differentiation and localization with sonar. 355-373
  

Volume 14, Number 4-5, May 2001

• Yasuhiro Wada, Yuichi Kaneko, Eri Nakano, Rieko Osu, Mitsuo Kawato:
  Quantitative examinations for multi joint arm trajectory planning--using a robust calculation algorithm of the minimum commanded torque change trajectory. 381-393
  
• Masataka Watanabe, Kousaku Nakanishi, Kazuyuki Aihara:
  Solving the binding problem of the brain with bi-directional functional connectivity. 395-406
  
• J. Manuel Cano Izquierdo, Yannis A. Dimitriadis, Eduardo Gómez-Sánchez, Juan López Coronado:
  Learning from noisy information in FasArt and FasBack neuro-fuzzy systems. 407-425
  
• Francesco Vivarelli, Christopher K. I. Williams:
  Comparing Bayesian neural network algorithms for classifying segmented outdoor images. 427-437
  
• Friedhelm Schwenker, Hans A. Kestler, Günther Palm:
  Three learning phases for radial-basis-function networks. 439-458
  
• Akiko Nakashima, Hidemitsu Ogawa:
  Noise suppression in training examples for improving generalization capability. 459-469
  
• Edmondo Trentin:
  Networks with trainable amplitude of activation functions. 471-493
  
• Marifi Güler:
  A model with an intrinsic property of learning higher order correlations. 495-504
  
• Marcos M. Campos, Gail A. Carpenter:
  S-TREE: self-organizing trees for data clustering and online vector quantization. 505-525
  
• Sorin Draghici:
  The constraint based decomposition (CBD) training architecture. 527-550
  
• Fred Henrik Hamker:
  Life-long learning Cell Structures--continuously learning without catastrophic interference. 551-573
  
• Amar Mitiche, M. Lebidoff:
  Pattern classification by a condensed neural network. 575-580
  

Volume 14, Number 6-7, July 2001

• Stephen Grossberg, Wolfgang Maass, Henry Markram:
  Introduction: Spiking Neurons in Neuroscience and Technology. 587-
  
• George L. Gerstein, Kyle L. Kirkland:
  Neural assemblies: technical issues, analysis, and modeling. 589-598
  
• Wulfram Gerstner:
  Coding properties of spiking neurons: reverse and cross-correlations. 599-610
  
• Hiroyuki Uchiyama, Koichi Goto, Hiroyuki Matsunobu:
  ON-OFF retinal ganglion cells temporally encode OFF/ON sequence. 611-615
  
• André van Schaik:
  Building blocks for electronic spiking neural networks. 617-628
  
• Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri, Tobi Delbrück, Thomas Burg, Rodney J. Douglas:
  Orientation-selective aVLSI spiking neurons. 629-643
  
• Kai M. Hynna, Kwabena Boahen:
  Space-rate coding in an adaptive silicon neuron. 645-656
  
• Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen:
  Propagation of cortical synfire activity: survival probability in single trials and stability in the mean. 657-673
  
• Hideyuki Câteau, Tomoki Fukai:
  Fokker-Planck approach to the pulse packet propagation in synfire chain. 675-685
  
• Luis F. Lago-Fernández, Fernando J. Corbacho, Ramón Huerta:
  Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability. 687-696
  
• Ralph M. Siegel, Heather L. Read:
  Deterministic dynamics emerging from a cortical functional architecture. 697-713
  
• Simon J. Thorpe, Arnaud Delorme, Rufin van Rullen:
  Spike-based strategies for rapid processing. 715-725
  
• D. Chawla, Karl J. Friston, Erik D. Lumer:
  Zero-lag synchronous dynamics in triplets of interconnected cortical areas. 727-735
  
• Peter A. Cariani:
  Neural timing nets. 737-753
  
• Timothy K. Horiuchi, Kai M. Hynna:
  Spike-based VLSI modeling of the ILD system in the echolocating bat. 755-762
  
• Andreas Knoblauch, Günther Palm:
  Pattern separation and synchronization in spiking associative memories and visual areas. 763-780
  
• David H. Goldberg, Gert Cauwenberghs, Andreas G. Andreou:
  Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons. 781-793
  
• Arnaud Delorme, Simon J. Thorpe:
  Face identification using one spike per neuron: resistance to image degradations. 795-803
  
• Christian Leibold, J. Leo van Hemmen:
  Temporal receptive fields, spikes, and Hebbian delay selection. 805-813
  
• Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin:
  Distributed synchrony in a cell assembly of spiking neurons. 815-824
  
• Friedrich T. Sommer, Thomas Wennekers:
  Associative memory in networks of spiking neurons. 825-834
  
• Nanayaa Twum-Danso, Roger W. Brockett:
  Trajectory estimation from place cell data. 835-844
  
• Mark D. Humphries, Kevin N. Gurney:
  A pulsed neural network model of bursting in the basal ganglia. 845-863
  
• Pablo Varona, Joaquín J. Torres, Ramón Huerta, Henry D. I. Abarbanel, Mikhail I. Rabinovich:
  Regularization mechanisms of spiking-bursting neurons. 865-875
  
• Michael G. Paulin, Larry F. Hoffman:
  Optimal firing rate estimation. 877-881
  
• Eugene M. Izhikevich:
  Resonate-and-fire neurons. 883-894
  
• Khashayar Pakdaman, Seiji Tanabe, Tetsuya Shimokawa:
  Coherence resonance and discharge time reliability in neurons and neuronal models. 895-905
  
• Jonghan Shin:
  Adaptation in spiking neurons based on the noise shaping neural coding hypothesis. 907-919
  
• Gee-Hyuk Lee, Nabil H. Farhat:
  The double queue method: a numerical method for integrate-and-fire neuron networks. 921-932
  
• Nicolangelo Iannella, Andrew D. Back:
  A spiking neural network architecture for nonlinear function approximation. 933-939
  
• Marc de Kamps, Frank van der Velde:
  From artificial neural networks to spiking neuron populations and back again. 941-953
  
• Jianfeng Feng:
  Is the integrate-and-fire model good enough?--a review. 955-975
  

Volume 14, Number 8, October 2001

• Tianping Chen:
  Global exponential stability of delayed Hopfield neural networks. 977-980
  
• Silvia Corchs, Gustavo Deco:
  A neurodynamical model for selective visual attention using oscillators. 981-990
  
• Kevin N. Gurney:
  Information processing in dendrites: I. Input pattern generalisation. 991-1004
  
• Kevin N. Gurney:
  Information processing in dendrites: II. Information theoretic complexity. 1005-1022
  
• Dirk Tomandl, Andreas Schober:
  A Modified General Regression Neural Network (MGRNN) with new, efficient training algorithms as a robust 'black box'-tool for data analysis. 1023-1034
  
• J. Gareth Polhill, Michael K. Weir:
  An approach to guaranteeing generalisation in neural networks. 1035-1048
  
• Sumio Watanabe:
  Algebraic geometrical methods for hierarchical learning machines. 1049-1060
  
• Ruye Wang:
  A hybrid learning network for shift-invariant recognition. 1061-1073
  
• Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor:
  A dynamical model for the analysis and acceleration of learning in feedforward networks. 1075-1088
  
• Tomas Hrycej:
  Estimates of average complexity of neurocontrol algorithms. 1089-1098
  
• Michel Pasquier, Hiok Chai Quek, Mary Toh:
  Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles. 1099-1112
  
• A. J. B. Travis:
  Real time distributed processing of multiple associated pulse pattern sequences. 1113-1127
  
• Vladimir Cherkassky, Steven Kilts:
  Myopotential denoising of ECG signals using wavelet thresholding methods. 1129-1137
  

Volume 14, Number 9, November 2001

• Yutaka Sakai:
  Neuronal integration mechanisms have little effect on spike auto-correlations of cortical neurons. 1145-1152
  
• Amir Karniel, Ron Meir, Gideon F. Inbar:
  Best estimated inverse versus inverse of the best estimator. 1153-1159
  
• Yacine Oussar, Gérard Dreyfus:
  How to be a gray box: dynamic semi-physical modeling. 1161-1172
  
• Kenji Okajima:
  An Infomax-based learning rule that generates cells similar to visual cortical neurons. 1173-1180
  
• Chunhua Feng, Réjean Plamondon:
  On the stability analysis of delayed neural networks systems. 1181-1188
  
• Nobuhiko Ikeda, Paul Watta, Metin Artiklar, Mohamad H. Hassoun:
  A two-level Hamming network for high performance associative memory. 1189-1200
  
• Ashit Talukder, David Casasent:
  A closed-form neural network for discriminatory feature extraction from high-dimensional data. 1201-1218
  
• Giuseppe Patanè, Marco Russo:
  The enhanced LBG algorithm. 1219-1237
  
• Shin Ishii, Masa-aki Sato:
  Reconstruction of chaotic dynamics by on-line EM algorithm. 1239-1256
  
• Alan F. Murray:
  Novelty detection using products of simple experts--a potential architecture for embedded systems. 1257-1264
  
• Md. Monirul Islam, Kazuyuki Murase:
  A new algorithm to design compact two-hidden-layer artificial neural networks. 1265-1278
  
• Anna Koufakou, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Takis Kasparis:
  Cross-validation in Fuzzy ARTMAP for large databases. 1279-1291
  
• Khaled Ahmed Nagaty:
  Fingerprints classification using artificial neural networks: a combined structural and statistical approach. 1293-1305
  
• Hiroshi Wakuya, Jacek M. Zurada:
  Bi-directional computing architecture for time series prediction. 1307-1321
  

Volume 14, Number 10, December 2001

• Antony Browne, Ron Sun:
  Connectionist inference models. 1331-1355
  
• Mark E. Jackson, Oleg Litvak, James W. Gnadt:
  Analysis of the frequency response of the saccadic circuit: numerical simulations. 1357-1376
  
• Tianping Chen, Shun-ichi Amari:
  Unified stabilization approach to principal and minor components extraction algorithms. 1377-1387
  
• Kotaro Hirasawa, Sung-ho Kim, Jinglu Hu, Junichi Murata, Min Han, Chunzhi Jin:
  Improvement of generalization ability for identifying dynamical systems by using universal learning networks. 1389-1404
  
• John A. Flanagan:
  Self-organization in the one-dimensional SOM with a decreasing neighborhood. 1405-1417
  
• Katsuyuki Hagiwara, Taichi Hayasaka, Naohiro Toda, Shiro Usui, Kazuhiro Kuno:
  Upper bound of the expected training error of neural network regression for a Gaussian noise sequence. 1419-1429
  
• Hiok Chai Quek, Ruowei Zhou:
  The POP learning algorithms: reducing work in identifying fuzzy rules. 1431-1445
  
• Sergio Bermejo, Joan Cabestany:
  Oriented principal component analysis for large margin classifiers. 1447-1461
  
• Yuming Chen:
  A remark on 'On stability of nonlinear continuous-time neural networks with delays'. 1463-
  
• Michael Schmitt:
  On using the Poincaré polynomial for calculating the VC dimension of neural networks. 1465-
  
• Martha A. Carter, Mark E. Oxley:
  Response: on using the Poincaré polynomial for calculating the V-C dimension of neural networks. 1467-
  

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