Journal: Neural Networks

Volume 14, Issue 9

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

Volume 14, Issue 8

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

Volume 14, Issue 6-7

587 -- 0Stephen Grossberg, Wolfgang Maass, Henry Markram. Introduction: Spiking Neurons in Neuroscience and Technology
589 -- 598George L. Gerstein, Kyle L. Kirkland. Neural assemblies: technical issues, analysis, and modeling
599 -- 610Wulfram Gerstner. Coding properties of spiking neurons: reverse and cross-correlations
611 -- 615Hiroyuki Uchiyama, Koichi Goto, Hiroyuki Matsunobu. ON-OFF retinal ganglion cells temporally encode OFF/ON sequence
617 -- 628André van Schaik. Building blocks for electronic spiking neural networks
629 -- 643Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri, Tobi Delbrück, Thomas Burg, Rodney J. Douglas. Orientation-selective aVLSI spiking neurons
645 -- 656Kai M. Hynna, Kwabena Boahen. Space-rate coding in an adaptive silicon neuron
657 -- 673Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen. Propagation of cortical synfire activity: survival probability in single trials and stability in the mean
675 -- 685Hideyuki Câteau, Tomoki Fukai. Fokker-Planck approach to the pulse packet propagation in synfire chain
687 -- 696Luis F. Lago-Fernández, Fernando J. Corbacho, Ramón Huerta. Connection topology dependence of synchronization of neural assemblies on class 1 and 2 excitability
697 -- 713Ralph M. Siegel, Heather L. Read. Deterministic dynamics emerging from a cortical functional architecture
715 -- 725Simon J. Thorpe, Arnaud Delorme, Rufin van Rullen. Spike-based strategies for rapid processing
727 -- 735D. Chawla, Karl J. Friston, Erik D. Lumer. Zero-lag synchronous dynamics in triplets of interconnected cortical areas
737 -- 753Peter A. Cariani. Neural timing nets
755 -- 762Timothy K. Horiuchi, Kai M. Hynna. Spike-based VLSI modeling of the ILD system in the echolocating bat
763 -- 780Andreas Knoblauch, Günther Palm. Pattern separation and synchronization in spiking associative memories and visual areas
781 -- 793David H. Goldberg, Gert Cauwenberghs, Andreas G. Andreou. Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons
795 -- 803Arnaud Delorme, Simon J. Thorpe. Face identification using one spike per neuron: resistance to image degradations
805 -- 813Christian Leibold, J. Leo van Hemmen. Temporal receptive fields, spikes, and Hebbian delay selection
815 -- 824Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin. Distributed synchrony in a cell assembly of spiking neurons
825 -- 834Friedrich T. Sommer, Thomas Wennekers. Associative memory in networks of spiking neurons
835 -- 844Nanayaa Twum-Danso, Roger W. Brockett. Trajectory estimation from place cell data
845 -- 863Mark D. Humphries, Kevin N. Gurney. A pulsed neural network model of bursting in the basal ganglia
865 -- 875Pablo Varona, Joaquín J. Torres, Ramón Huerta, Henry D. I. Abarbanel, Mikhail I. Rabinovich. Regularization mechanisms of spiking-bursting neurons
877 -- 881Michael G. Paulin, Larry F. Hoffman. Optimal firing rate estimation
883 -- 894Eugene M. Izhikevich. Resonate-and-fire neurons
895 -- 905Khashayar Pakdaman, Seiji Tanabe, Tetsuya Shimokawa. Coherence resonance and discharge time reliability in neurons and neuronal models
907 -- 919Jonghan Shin. Adaptation in spiking neurons based on the noise shaping neural coding hypothesis
921 -- 932Gee-Hyuk Lee, Nabil H. Farhat. The double queue method: a numerical method for integrate-and-fire neuron networks
933 -- 939Nicolangelo Iannella, Andrew D. Back. A spiking neural network architecture for nonlinear function approximation
941 -- 953Marc de Kamps, Frank van der Velde. From artificial neural networks to spiking neuron populations and back again
955 -- 975Jianfeng Feng. Is the integrate-and-fire model good enough?--a review

Volume 14, Issue 4-5

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

Volume 14, Issue 3

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

Volume 14, Issue 2

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

Volume 14, Issue 10

1331 -- 1355Antony Browne, Ron Sun. Connectionist inference models
1357 -- 1376Mark E. Jackson, Oleg Litvak, James W. Gnadt. Analysis of the frequency response of the saccadic circuit: numerical simulations
1377 -- 1387Tianping Chen, Shun-ichi Amari. Unified stabilization approach to principal and minor components extraction algorithms
1389 -- 1404Kotaro 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
1405 -- 1417John A. Flanagan. Self-organization in the one-dimensional SOM with a decreasing neighborhood
1419 -- 1429Katsuyuki 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
1431 -- 1445Hiok Chai Quek, Ruowei Zhou. The POP learning algorithms: reducing work in identifying fuzzy rules
1447 -- 1461Sergio Bermejo, Joan Cabestany. Oriented principal component analysis for large margin classifiers
1463 -- 0Yuming Chen. A remark on On stability of nonlinear continuous-time neural networks with delays
1465 -- 0Michael Schmitt. On using the Poincaré polynomial for calculating the VC dimension of neural networks
1467 -- 0Martha A. Carter, Mark E. Oxley. Response: on using the Poincaré polynomial for calculating the V-C dimension of neural networks

Volume 14, Issue 1

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