Neural Networks, Volume 16

Volume 16, Number 1, January 2003

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

Volume 16, Number 2, March 2003

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

Volume 16, Numbers 3-4, April-May 2003

• Roberto Tagliaferri, Giuseppe Longo, Bruno D'Argenio, Alberto Incoronato:
  Introduction: Neural networks for analysis of complex scientific data: astronomy and geosciences. 295
  
• Roberto 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. 297-319
  
• Vladimir M. Krasnopolsky, Helmut Schiller:
  Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements. 321-334
  
• Vladimir M. Krasnopolsky, Frédéric Chevallier:
  Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. 335-348
  
• Hugo Hidalgo, Sonia Sosa León, Enrique Gómez-Treviño:
  Application of the kernel method to the inverse geosounding problem. 349-353
  
• Hector Socas-Navarro:
  Measuring solar magnetic fields with artificial neural networks. 355-363
  
• D. Mancini, M. Brescia, P. Schipani:
  Ground-based telescope pointing and tracking optimization using a neural controller. 365-374
  
• Daniela Baratta, Giovambattista Cicioni, Francesco Masulli, Léonard Studer:
  Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting. 375-387
  
• Thomas Villmann, Erzsébet Merényi, Barbara Hammer:
  Neural maps in remote sensing image analysis. 389-403
  
• Enrique García-Berro, Santiago Torres-Alegre, Jordi Isern:
  Using self-organizing maps to identify potential halo white dwarfs. 405-410
  
• Jorge Núñez, Jorge Yacer:
  Astronomical image segmentation by self-organizing neural networks and wavelets. 411-417
  
• Robert J. Bullen, Dan Cornford, Ian T. Nabney:
  Outlier detection in scatterometer data: neural network approaches. 419-426
  
• Giuseppe Acciani, Ernesto Chiarantoni, Girolamo Fornarelli, Silvano Vergura:
  A feature extraction unsupervised neural network for an environmental data set. 427-436
  
• Zhiyong Liu, Kai Chun Chiu, Lei Xu:
  Improved system for object detection and star/galaxy classification via local subspace analysis. 437-451
  
• Simone Fiori:
  Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing. 453-467
  
• Maria Funaro, Erkki Oja, Harri Valpola:
  Independent component analysis for artefact separation in astrophysical images. 469-478
  
• Ercan E. Kuruoglu, Luigi Bedini, Maria T. Paratore, Emanuele Salerno, Anna Tonazzini:
  Source separation in astrophysical maps using independent factor analysis. 479-491
  
• Francesco Carlo Morabito, Mario Versaci:
  Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data. 493-506
  
• Erick Cantú-Paz, Chandrika Kamath:
  Evolving neural networks to identify bent-double galaxies in the FIRST survey. 507-517
  

Volume 16, Numbers 5-6, June-July 2003

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

Volume 16, Number 7, September 2003

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

Volume 16, Number 8, October 2003

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

Volume 16, Number 9, November 2003

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

Volume 16, Number 10, December 2003

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