- 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

- 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

- 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

- 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

- 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

- 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

- 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

- 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