Journal: Neural Networks

Volume 16, Issue 9

1235 -- 1236Shun-ichi Amari, Michael A. Arbib, Rolf Kötter. Neuroinformatics - Introduction
1237 -- 1260Michael A. Arbib, Mihail Bota. Language evolution: neural homologies and neuroinformatics
1261 -- 1275Rolf Kötter, Klaas E. Stephan. Network participation indices: characterizing component roles for information processing in neural networks
1277 -- 1292Amarnath Gupta, Bertram Ludäscher, Jeffrey S. Grethe, Maryann E. Martone. Towards a formalization of disease-specific ontologies for neuroinformatics
1293 -- 1300Shiro Usui. Visiome: neuroinformatics research in vision project
1301 -- 1310Kazunori Sato, Yasuyuki Taki, Hiroshi Fukuda, Ryuta Kawashima. Neuroanatomical database of normal Japanese brains
1311 -- 1323Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig. Complex independent component analysis of frequency-domain electroencephalographic data
1325 -- 1352Karl J. Friston. Learning and inference in the brain
1353 -- 1371Lars Schwabe, Klaus Obermayer. Modeling the adaptive visual system: a survey of principled approaches
1373 -- 1388Regina Mudra, Rodney J. Douglas. Self-correction mechanism for path integration in a modular navigation system on the basis of an egocentric spatial map
1389 -- 1398Shinichi Kikuchi, Kenji Fujimoto, Noriyuki Kitagawa, Taro Fuchikawa, Michiko Abe, Kotaro Oka, Kohtaro Takei, Masaru Tomita. Kinetic simulation of signal transduction system in hippocampal long-term potentiation with dynamic modeling of protein phosphatase 2A

Volume 16, Issue 8

1095 -- 1100Su Lee Goh, Danilo P. Mandic. Recurrent neural networks with trainable amplitude of activation functions
1101 -- 1105Tohru Nitta. Solving the XOR problem and the detection of symmetry using a single complex-valued neuron
1107 -- 1140Stephen Grossberg, Dmitry V. Repin. A neural model of how the brain represents and compares multi-digit numbers: spatial and categorical processes
1141 -- 1160Antonio Ulloa, Daniel Bullock. A neural network simulating human reach-grasp coordination by continuous updating of vector positioning commands
1161 -- 1177Armen R. Sargsyan, Albert A. Melkonyan, Costas Papatheodoropoulos, Hovhannes H. Mkrtchian, George K. Kostopoulos. A model synapse that incorporates the properties of short- and long-term synaptic plasticity
1179 -- 1193Isao Tokuda, Ryuji Tokunaga, Kazuyuki Aihara. Back-propagation learning of infinite-dimensional dynamical systems
1195 -- 1200Guoguang He, Zhitong Cao, Ping Zhu, Hisakazu Ogura. Controlling chaos in a chaotic neural network
1201 -- 1221Simone Fiori. Neural independent component analysis by maximum-mismatch learning principle
1223 -- 1227Tianguang Chu, Cishen Zhang, Zongda Zhang. Necessary and sufficient condition for absolute stability of normal neural networks

Volume 16, Issue 7

947 -- 954Masaki Nomura, Toshio Aoyagi, Masato Okada. Two-level hierarchy with sparsely and temporally coded patterns and its possible functional role in information processing
955 -- 972Stephan K. Chalup, Alan D. Blair. Incremental training of first order recurrent neural networks to predict a context-sensitive language
973 -- 984F. Gregory Ashby, Michael B. Casale. A model of dopamine modulated cortical activation
985 -- 994Kazuyuki Samejima, Kenji Doya, Mitsuo Kawato. Inter-module credit assignment in modular reinforcement learning
995 -- 1002Zhaozhi Zhang, Xiaomin Ma, Yixian Yang. Bounds on the number of hidden neurons in three-layer binary neural networks
1003 -- 1017Alex Alexandridis, Haralambos Sarimveis, George V. Bafas. A new algorithm for online structure and parameter adaptation of RBF networks
1019 -- 1028Yi Liao, Shu-Cherng Fang, Henry L. W. Nuttle. Relaxed conditions for radial-basis function networks to be universal approximators
1029 -- 1038Keisuke Yamazaki, Sumio Watanabe. Singularities in mixture models and upper bounds of stochastic complexity
1039 -- 1057Emilio Parrado-Hernández, Eduardo Gómez-Sánchez, Yannis A. Dimitriadis. Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems
1059 -- 1074Bao-Liang Lu, Koji Ito. Converting general nonlinear programming problems into separable programming problems with feedforward neural networks
1075 -- 1089Olga Parsons, Gail A. Carpenter. ARTMAP neural networks for information fusion and data mining: map production and target recognition methodologies

Volume 16, Issue 5-6

519 -- 0Donald C. Wunsch II, Michael E. Hasselmo, DeLiang L. Wang, Ganesh K. Venayagamoorthy. Welcome to the special issue: the best of the best
521 -- 528Antonio Ulloa, Daniel Bullock, Bradley J. Rhodes. Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum
529 -- 535David Casasent, Xue-wen Chen. Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification
537 -- 545Xiuwen Liu, Anuj Srivastava, DeLiang L. Wang. Intrinsic generalization analysis of low dimensional representations
547 -- 553Min Han, Lei Cheng, Hua Meng. Application of four-layer neural network on information extraction
555 -- 559Masakazu Matsugu, Katsuhiko Mori, Yusuke Mitari, Yuji Kaneda. Subject independent facial expression recognition with robust face detection using a convolutional neural network
561 -- 568Ganesh Arulampalam, Abdesselam Bouzerdoum. A generalized feedforward neural network architecture for classification and regression
569 -- 576Horatiu Voicu. Hierarchical cognitive maps
577 -- 584Randal A. Koene, Anatoli Gorchetchnikov, Robert C. Cannon, Michael E. Hasselmo. Modeling goal-directed spatial navigation in the rat based on physiological data from the hippocampal formation
585 -- 591Hassan H. Namarvar, Theodore W. Berger. An efficient training algorithm for dynamic synapse neural networks using trust region methods
593 -- 600Cengiz Günay, Anthony S. Maida. Temporal binding as an inducer for connectionist recruitment learning over delayed lines
601 -- 607Roberto A. Santiago, James McNames, Kim Burchiel, George G. Lendaris. Developments in understanding neuronal spike trains and functional specializations in brain regions
609 -- 615LiMing Zhang, Jianfeng Mei. Shaping up simple cell s receptive field of animal vision by ICA and its application in navigation system
617 -- 624Thomas P. Caudell, Yunhai Xiao, Michael J. Healy. eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures
625 -- 632Peter Sussner. Associative morphological memories based on variations of the kernel and dual kernel methods
633 -- 640Habtom W. Ressom, Dali Wang, Padma Natarajan. Adaptive double self-organizing maps for clustering gene expression profiles
641 -- 648Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman. An accelerated procedure for recursive feature ranking on microarray data
649 -- 656Agustin Gutierrez-Galvez, Ricardo Gutierrez-Osuna. Pattern completion through phase coding in population neurodynamics
657 -- 663Giorgio A. Ascoli. Passive dendritic integration heavily affects spiking dynamics of recurrent networks
665 -- 673Ashraf M. Abdelbar, Emad A. M. Andrews, Donald C. Wunsch II. Abductive reasoning with recurrent neural networks
675 -- 682Emílio Del Moral Hernandez. Neural networks with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs
683 -- 689Lee A. Feldkamp, Danil V. Prokhorov, Timothy M. Feldkamp. Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks
691 -- 699Stefan Wermter, Mark Elshaw. Learning robot actions based on self-organising language memory
701 -- 710Ameet Joshi, Juyang Weng. Autonomous mental development in high dimensional context and action spaces
711 -- 717Edgar N. Sanchez, Luis J. Ricalde. Chaos control and synchronization, with input saturation, via recurrent neural networks
719 -- 728Radhakant Padhi, S. N. Balakrishnan. Proper orthogonal decomposition based optimal neurocontrol synthesis of a chemical reactor process using approximate dynamic programming
729 -- 734Jianyu Li, Siwei Luo, Yingjian Qi, Yaping Huang. Numerical solution of elliptic partial differential equation using radial basis function neural networks
735 -- 744Bernard Widrow, Max Kamenetsky. Statistical efficiency of adaptive algorithms
745 -- 753Eiji Mizutani, James Demmel. On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning
755 -- 761Bart Kosko, Sanya Mitaim. Stochastic resonance in noisy threshold neurons
763 -- 770Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino. Quantum optimization for training support vector machines
771 -- 778Louis Massey. On the quality of ART1 text clustering
779 -- 784M. H. Wang, C. P. Hung. Extension neural network and its applications
785 -- 792Daisuke Tsujinishi, Shigeo Abe. Fuzzy least squares support vector machines for multiclass problems
793 -- 800John A. Bullinaria. Evolving efficient learning algorithms for binary mappings
801 -- 808Ali Pezeshki, Mahmood R. Azimi-Sadjadi, Louis L. Scharf. A network for recursive extraction of canonical coordinates
809 -- 816Ali Ghodsi, Dale Schuurmans. Automatic basis selection techniques for RBF networks
817 -- 825Lei Xu. Data smoothing regularization, multi-sets-learning, and problem solving strategies
827 -- 832Samuel A. Mulder, Donald C. Wunsch II. Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks
833 -- 839A. Zaknich. A practical sub-space adaptive filter
841 -- 845Adam E. Gaweda, Alfred A. Jacobs, Michael E. Brier, Jacek M. Zurada. Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study
847 -- 853Ritaban Dutta, K. R. Kashwan, M. Bhuyan, Evor L. Hines, J. W. Gardner. Electronic nose based tea quality standardization
855 -- 864Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano, Sabino De Placido, Michele De Laurentiis. A novel neural network-based survival analysis model
865 -- 871Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, Johan Wessberg, José Carlos Príncipe, Miguel Nicolelis. Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models
873 -- 880Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José Carlos Príncipe. Stochastic error whitening algorithm for linear filter estimation with noisy data
881 -- 890Jung-Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy. New internal optimal neurocontrol for a series FACTS device in a power transmission line
891 -- 898Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch II. Design of an adaptive neural network based power system stabilizer
899 -- 905Dimitris A. Karras, Vasilios Zorkadis. On neural network techniques in the secure management of communication systems through improving and quality assessing pseudorandom stream generators
907 -- 914Harold Szu, Steven Noel, Seong-Bin Yim, Jeff Willey, Joe Landa. Multimedia authenticity protection with ICA watermarking and digital bacteria vaccination
915 -- 923P. J. Kellman. Interpolation processes in the visual perception of objects
925 -- 931Stephen Grossberg. Laminar cortical dynamics of visual form perception
933 -- 938Stuart Anstis. Moving objects appear to slow down at low contrasts
939 -- 945Ennio Mingolla. Neural models of motion integration and segmentation

Volume 16, Issue 3-4

295 -- 0Roberto Tagliaferri, Giuseppe Longo, Bruno D Argenio, Alberto Incoronato. Introduction: Neural networks for analysis of complex scientific data: astronomy and geosciences
297 -- 319Roberto Tagliaferri, Giuseppe Longo, Leopoldo Milano, Fausto Acernese, Fabrizio Barone, Angelo Ciaramella, Rosario De Rosa, Ciro Donalek, Antonio Eleuteri, Giancarlo Raiconi, Salvatore Sessa, Antonino Staiano, Alfredo Volpicelli. Neural neZtworks in astronomy
321 -- 334Vladimir M. Krasnopolsky, Helmut Schiller. Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements
335 -- 348Vladimir M. Krasnopolsky, Frédéric Chevallier. Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models
349 -- 353Hugo Hidalgo, Sonia Sosa León, Enrique Gómez-Treviño. Application of the kernel method to the inverse geosounding problem
355 -- 363Hector Socas-Navarro. Measuring solar magnetic fields with artificial neural networks
365 -- 374D. Mancini, M. Brescia, P. Schipani. Ground-based telescope pointing and tracking optimization using a neural controller
375 -- 387Daniela Baratta, Giovambattista Cicioni, Francesco Masulli, Léonard Studer. Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting
389 -- 403Thomas Villmann, Erzsébet Merényi, Barbara Hammer. Neural maps in remote sensing image analysis
405 -- 410Enrique García-Berro, Santiago Torres-Alegre, Jordi Isern. Using self-organizing maps to identify potential halo white dwarfs
411 -- 417Jorge Núñez, Jorge Yacer. Astronomical image segmentation by self-organizing neural networks and wavelets
419 -- 426Robert J. Bullen, Dan Cornford, Ian T. Nabney. Outlier detection in scatterometer data: neural network approaches
427 -- 436Giuseppe Acciani, Ernesto Chiarantoni, Girolamo Fornarelli, Silvano Vergura. A feature extraction unsupervised neural network for an environmental data set
437 -- 451Zhiyong Liu, Kai Chun Chiu, Lei Xu. Improved system for object detection and star/galaxy classification via local subspace analysis
453 -- 467Simone Fiori. Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing
469 -- 478Maria Funaro, Erkki Oja, Harri Valpola. Independent component analysis for artefact separation in astrophysical images
479 -- 491Ercan E. Kuruoglu, Luigi Bedini, Maria T. Paratore, Emanuele Salerno, Anna Tonazzini. Source separation in astrophysical maps using independent factor analysis
493 -- 506Francesco Carlo Morabito, Mario Versaci. Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data
507 -- 517Erick Cantú-Paz, Chandrika Kamath. Evolving neural networks to identify bent-double galaxies in the FIRST survey

Volume 16, Issue 2

155 -- 159Andrew I. Hanna, Danilo P. Mandic. A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function
161 -- 182Simon M. Stringer, Edmund T. Rolls, Thomas P. Trappenberg, Ivan E. Travares de Araújo. Self-organizing continuous attractor networks and motor function
183 -- 203Hrushikesh Narhar Mhaskar, Francis J. Narcowich, Joseph D. Ward. Zonal function network frames on the sphere
205 -- 222Antonio Fernández-Caballero, José Mira, Miguel Angel Fernández, Ana E. Delgado García. On motion detection through a multi-layer neural network architecture
223 -- 239Chi-Sing Leung, Lai-Wan Chan. Dual extended Kalman filtering in recurrent neural networks
241 -- 250Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber. Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets
251 -- 259Yasar Becerikli, Ahmet Ferit Konar, Tariq Samad. Intelligent optimal control with dynamic neural networks
261 -- 269Bart Bakker, Tom Heskes. Clustering ensembles of neural network models
271 -- 286X. P. Cheng, R. V. Patel. Neural network based tracking control of a flexible macro-micro manipulator system

Volume 16, Issue 10

1401 -- 1402Xiaofeng Liao, Guanrong Chen, Edgar N. Sanchez. (Corr. to) Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach
1403 -- 1420Wai-keung Fung, Yun-Hui Liu. Adaptive categorization of ART networks in robot behavior learning using game-theoretic formulation
1421 -- 1428Pau Bofill, Roger Guimerà, Carme Torras. Comparison of simulated annealing and mean field annealing as applied to the generation of block designs
1429 -- 1451D. Randall Wilson, Tony R. Martinez. The general inefficiency of batch training for gradient descent learning
1453 -- 1460Wilson A. Truccolo, Govindan Rangarajan, Yonghong Chen, Mingzhou Ding. Analyzing stability of equilibrium points in neural networks: a general approach
1461 -- 1481Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata. A functions localized neural network with branch gates
1483 -- 1497Nihat Ay, Thomas Wennekers. Dynamical properties of strongly interacting Markov chains
1499 -- 1525E. M. Cochrane, J. E. Beasley. The co-adaptive neural network approach to the Euclidean Travelling Salesman Problem
1527 -- 1540Nikolay I. Nikolaev, Hitoshi Iba. Polynomial harmonic GMDH learning networks for time series modeling

Volume 16, Issue 1

1 -- 0Stephen Grossberg, Mitsuo Kawato, John G. Taylor. Celebrating the Year with a Special Issue for IJCNN 03
5 -- 9Nicolas Schweighofer, Kenji Doya. Meta-learning in Reinforcement Learning
11 -- 23Jun Tani. Learning to generate articulated behavior through the bottom-up and the top-down interaction processes
25 -- 37Osamu Watanabe, Masanori Idesawa. Computational model for neural representation of multiple disparities
39 -- 46Kazushi Ikeda. A synfire chain in layered coincidence detectors with random synaptic delays
47 -- 54Tadashi Yamazaki. Mathematical analysis of a correlation-based model for orientation map formation
55 -- 67Hiroshi Tsukimoto, Hisaaki Hatano. The functional localization of neural networks using genetic algorithms
69 -- 77Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón. A new EM-based training algorithm for RBF networks
79 -- 90Martin Burger, Andreas Neubauer. Analysis of Tikhonov regularization for function approximation by neural networks
91 -- 100Geoffrey G. Lockwood, Igor Alexander. Predicting the behaviour of G-RAM networks
101 -- 120Ivan Gabrijel, Andrej Dobnikar. On-line identification and reconstruction of finite automata with generalized recurrent neural networks
121 -- 132San-Kan Lee, Pau-Choo Chung, Chein-I Chang, Chien-Shun Lo, Tain Lee, Giu-Cheng Hsu, Chin-Wen Yang. Classification of clustered microcalcifications using a Shape Cognitron neural network
133 -- 144Khaled Ahmed Nagaty. On learning to estimate the block directional image of a fingerprint using a hierarchical neural network