Neural Networks, Volume 20

Volume 20, Number 1, January 2007

• 
  Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
  Editorial for 2007: Another year of exciting special issues! 10-11

Psychology and Cognitive Science

• 
  Shuzo Sakata, Tetsuo Yamamori:
  Topological relationships between brain and social networks. 12-21
• 
  Heiko Hoffmann:
  Perception through visuomotor anticipation in a mobile robot. 22-33
• 
  Ron Sun, Xi Zhang, Paul Slusarz, Robert C. Mathews:
  The interaction of implicit learning, explicit hypothesis testing learning and implicit-to-explicit knowledge extraction. 34-47

Neuroscience and Neuropsychology

• 
  Christopher Johansson, Anders Lansner:
  Towards cortex sized artificial neural systems. 48-61

Mathematical and Computational Analysis

• 
  Quang-Cuong Pham, Jean-Jacques E. Slotine:
  Stable concurrent synchronization in dynamic system networks. 62-77
• 
  Emad W. Saad, Donald C. Wunsch II:
  Neural network explanation using inversion. 78-93
• 
  Tianguang Chu, Cishen Zhang:
  New necessary and sufficient conditions for absolute stability of neural networks. 94-101
• 
  Ricardo López-Ruiz, Yamir Moreno, Amalio Fernández-Pacheco Pérez, S. Boccaletti, Dong-Uk Hwang:
  Awaking and sleeping of a complex network. 102-108

Engineering and Design

• 
  José Castro, Jimmy Secretan, Michael Georgiopoulos, Ronald F. DeMara, Georgios C. Anagnostopoulos, Avelino J. Gonzalez:
  Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation. 109-128
• 
  Cédric Archambeau, Michel Verleysen:
  Robust Bayesian clustering. 129-138
• 
  Javier Vía, Ignacio Santamaría, Jesús Pérez:
  A learning algorithm for adaptive canonical correlation analysis of several data sets. 139-152

Volume 20, Number 2, March 2007

Current Opinions

• 
  Tony Vladusich:
  Chromatic aberration and the roles of double-opponent and color-luminance neurons in color vision. 153-155

Psychology and Cognitive Science

• 
  Yoram Louzoun, Henri Atlan:
  The emergence of goals in a self-organizing network: A non-mentalist model of intentional actions. 156-171

Neuroscience and Neuropsychology

• 
  Simon M. Stringer, Edmund T. Rolls, Paul Taylor:
  Learning movement sequences with a delayed reward signal in a hierarchical model of motor function. 172-181
• 
  Anatoli Gorchetchnikov, Stephen Grossberg:
  Space, time and learning in the hippocampus: How fine spatial and temporal scales are expanded into population codes for behavioral control. 182-193
• 
  François B. Vialatte, Claire Martin, Rémi Dubois, Joëlle Haddad, Brigitte Quenet, Rémi Gervais, Gérard Dreyfus:
  A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics. 194-209

Mathematical and Computational Analysis

• 
  Kazuho Watanabe, Sumio Watanabe:
  Stochastic complexities of general mixture models in variational Bayesian learning. 210-219
• 
  Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
  Efficiently updating and tracking the dominant kernel principal components. 220-229
• 
  Joaquín Marro, Joaquín J. Torres, Jesús M. Cortés:
  Chaotic hopping between attractors in neural networks. 230-235
• 
  Michal Cernanský, Matej Makula, Lubica Benusková:
  Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures. 236-244
• 
  Mingyu Zhong, Bryan Rosander, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
  Experiments with Safe muARTMAP : Effect of the network parameters on the network performance. 245-259

Technology and Applications

• 
  Mustaq Hussain, John P. Eakins:
  Component-based visual clustering using the self-organizing map. 260-273
• 
  Jeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe:
  Self-organizing maps with dynamic learning for signal reconstruction. 274-284
• 
  Saori C. Tanaka, Kazuyuki Samejima, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
  Erratum to "Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics" [Neural Networks 19 (8) (2006) 1233-1241]. 285-286

Volume 20, Number 3, April 2007

Echo State Networks and Liquid State Machines

• 
  Herbert Jaeger, Wolfgang Maass, José Carlos Príncipe:
  Special issue on echo state networks and liquid state machines. 287-289
• 
  Tadashi Yamazaki, Shigeru Tanaka:
  The cerebellum as a liquid state machine. 290-297
• 
  Prashant Joshi:
  From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection. 298-311
• 
  Andreea Lazar, Gordon Pipa, Jochen Triesch:
  Fading memory and time series prediction in recurrent networks with different forms of plasticity. 312-322
• 
  Robert Legenstein, Wolfgang Maass:
  Edge of chaos and prediction of computational performance for neural circuit models. 323-334
• 
  Herbert Jaeger, Mantas Lukosevicius, Dan Popovici, Udo Siewert:
  Optimization and applications of echo state networks with leaky- integrator neurons. 335-352
• 
  Jochen J. Steil:
  Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. 353-364
• 
  Yanbo Xue, Le Yang, Simon Haykin:
  Decoupled echo state networks with lateral inhibition. 365-376
• 
  Mustafa C. Ozturk, José Carlos Príncipe:
  An associative memory readout for ESNs with applications to dynamical pattern recognition. 377-390
• 
  David Verstraeten, Benjamin Schrauwen, Michiel D'Haene, Dirk Stroobandt:
  An experimental unification of reservoir computing methods. 391-403
• 
  Ganesh K. Venayagamoorthy:
  Online design of an echo state network based wide area monitor for a multimachine power system. 404-413
• 
  Mark D. Skowronski, John G. Harris:
  Automatic speech recognition using a predictive echo state network classifier. 414-423
• 
  Matthew H. Tong, Adam D. Bickett, Eric M. Christiansen, Garrison W. Cottrell:
  Learning grammatical structure with Echo State Networks. 424-432

Volume 20, Number 4, May 2007

Computational Intelligence in Earth and Environmental Sciences

• 
  Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
  Computational intelligence in earth and environmental sciences. 433
• 
  William W. Hsieh:
  Nonlinear principal component analysis of noisy data. 434-443
• 
  Alex J. Cannon:
  Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling. 444-453
• 
  Vladimir M. Krasnopolsky:
  Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches. 454-461
• 
  Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista:
  Fast neural network surrogates for very high dimensional physics-based models in computational oceanography. 462-478
• 
  Helmut Schiller:
  Model inversion by parameter fit using NN emulating the forward model - Evaluation of indirect measurements. 479-483
• 
  Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole:
  Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres. 484-497
• 
  Julio J. Valdés, Alan J. Barton:
  Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting. 498-508
• 
  Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ian L. Turner:
  Recurrent neural network modeling of nearshore sandbar behavior. 509-518
• 
  Reinhard Teschl, Walter L. Randeu, Franz Teschl:
  Improving weather radar estimates of rainfall using feed-forward neural networks. 519-527
• 
  Gerald Corzo, Dimitri P. Solomatine:
  Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting. 528-536
• 
  Gavin C. Cawley, Gareth J. Janacek, Malcolm R. Haylock, Stephen R. Dorling:
  Predictive uncertainty in environmental modelling. 537-549
• 
  Markus Harva:
  A variational EM approach to predictive uncertainty. 550-558

Volume 20, Number 5, July 2007

Neural Networks Letter

• 
  Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi:
  Machine learning approach to color constancy. 559-563

Psychology and Cognitive Science

• 
  Rafal Bogacz:
  Optimal decision network with distributed representation. 564-576

Mathematical and Computational Analysis

• 
  Youshen Xia, Gang Feng:
  A new neural network for solving nonlinear projection equations. 577-589
• 
  Rosario Capparuccia, Renato De Leone, Emilia Marchitto:
  Integrating support vector machines and neural networks. 590-597
• 
  Liang Chen, Naoyuki Tokuda, Akira Nagai:
  Capacity analysis for a two-level decoupled Hamming network for associative memory under a noisy environment. 598-609
• 
  Ana M. González, José R. Dorronsoro:
  Natural learning in NLDA networks. 610-620
• 
  Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit:
  Concerning the differentiability of the energy function in vector quantization algorithms. 621-630

Technology and Applications

• 
  Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado:
  A modular neural network architecture for step-wise learning of grasping tasks. 631-645
• 
  Peter Seidel, Annerose Seidel, Olf Herbarth:
  Multilayer perceptron tumour diagnosis based on chromatography analysis of urinary nucleosides. 646-651

Volume 20, Number 6, August 2007

Neuroscience and Neuropsychology

• 
  Motoharu Yoshida, Hatsuo Hayashi:
  Emergence of sequence sensitivity in a hippocampal CA3-CA1 model. 653-667
• 
  Mathieu Bertin, Nicolas Schweighofer, Kenji Doya:
  Multiple model-based reinforcement learning explains dopamine neuronal activity. 668-675
• 
  Kiran Kalidindi, Howard Bowman:
  Using epsiloon-greedy reinforcement learning methods to further understand ventromedial prefrontal patients' deficits on the Iowa Gambling Task. 676-689
• 
  Vassilis Cutsuridis, Nikolaos Smyrnis, Ioannis Evdokimidis, Stavros J. Perantonis:
  A neural model of decision-making by the superior colicullus in an antisaccade task. 690-704
• 
  Yukihiro Tsuboshita, Hiroshi Okamoto:
  Context-dependent retrieval of information by neural-network dynamics with continuous attractors. 705-713

Mathematical and Computational Analysis

• 
  Wenlian Lu, Tianping Chen:
  Rⁿ₊-global stability of a Cohen-Grossberg neural network system with nonnegative equilibria. 714-722

Engineering and Design

• 
  Yutaka Nakamura, Takeshi Mori, Masa-aki Sato, Shin Ishii:
  Reinforcement learning for a biped robot based on a CPG-actor-critic method. 723-735
• 
  Kary Främling:
  Guiding exploration by pre-existing knowledge without modifying reward. 736-747

Technology and Applications

• 
  María Teresa Martín-Valdivia, Luis Alfonso Ureña López, Manuel García Vega:
  The learning vector quantization algorithm applied to automatic text classification tasks. 748-756

Book Review

• 
  Aaron R. Seitz:
  Bruno Breitmeyer and Haluk Ögmen, Visual Masking: Time Slices Through Conscious and Unconscious Vision, Oxford University Press (2006) ISBN 0-19-853067-6 $89.50. 757-758

Letter to the Editors

• 
  Da-Wei Chang:
  Comments on "Absolute exponential stability of a class of neural networks with unbounded delay". 759-760
• 
  Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista:
  Erratum to "Fast neural network surrogates for very high dimensional physics-based models in computational oceanography" [Neural Netw. 20(4) (2007) 462-478]. 761-762

Volume 20, Number 7, September 2007

Neuroscience and Neuropsychology

• 
  Alessio Plebe, Rosaria Grazia Domenella:
  Object recognition by artificial cortical maps. 763-780

Mathematical and Computational Analysis

• 
  Takashi Kanamaru:
  Chaotic pattern transitions in pulse neural networks. 781-790
• 
  Junbin Gao, Daming Shi, Xiaomao Liu:
  Significant vector learning to construct sparse kernel regression models. 791-798
• 
  He Huang, Daniel W. C. Ho, Yuzhong Qu:
  Robust stability of stochastic delayed additive neural networks with Markovian switching. 799-809
• 
  Wenwu Yu, Jinde Cao, Jun Wang:
  An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis. 810-818

Engineering and Design

• 
  Hiroyuki Takizawa, Hiroaki Kobayashi:
  Partial distortion entropy maximization for online data clustering. 819-831
• 
  Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley:
  Optimally regularised kernel Fisher discriminant classification. 832-841

Technology and Applications

• 
  Dezhong Peng, Zhang Yi, Wenjing Luo:
  Convergence analysis of a simple minor component analysis algorithm. 842-850

Volume 20, Number 8, October 2007

Neuroscience and Neuropsychology

• 
  Thomas M. Murphy, Leif H. Finkel:
  Shape representation by a network of V4-like cells. 851-867

Mathematical and Computational Analysis

• 
  Tingwen Huang, Andrew Chan, Yu Huang, Jinde Cao:
  Stability of Cohen-Grossberg neural networks with time-varying delays. 868-873

Engineering and Design

• 
  Ahmad A. Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos:
  GFAM: Evolving Fuzzy ARTMAP neural networks. 874-892
• 
  Shen Furao, Tomotaka Ogura, Osamu Hasegawa:
  An enhanced self-organizing incremental neural network for online unsupervised learning. 893-903
• 
  Kunihiko Fukushima:
  Interpolating vectors for robust pattern recognition. 904-916

Technology and Applications

• 
  Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsch II:
  Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization. 917-927

Volume 20, Number 9, November 2007

Brain and Consciousness, Brain and Consciousness

• 
  John G. Taylor, Walter J. Freeman, Axel Cleeremans:
  Introduction to the special issue on 'Brain and Consciousness'. 929-931
• 
  Igor Aleksander, Helen Morton:
  Phenomenology and digital neural architectures. 932-937
• 
  Ricardo Sanz, Ignacio López, Manuel Rodríguez, Carlos Hernández:
  Principles for consciousness in integrated cognitive control. 938-946
• 
  L. Andrew Coward, Ron Sun:
  Hierarchical approaches to understanding consciousness. 947-954
• 
  Bernard J. Baars, Stan Franklin:
  An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA. 955-961
• 
  Edmund T. Rolls:
  A computational neuroscience approach to consciousness. 962-982
• 
  John G. Taylor:
  CODAM: A neural network model of consciousness. 983-992
• 
  John G. Taylor, Nickolaos F. Fragopanagos:
  Resolving some confusions over attention and consciousness. 993-1003
• 
  David LaBerge, Ray Kasevich:
  The apical dendrite theory of consciousness. 1004-1020
• 
  Walter J. Freeman:
  Indirect biological measures of consciousness from field studies of brains as dynamical systems. 1021-1031
• 
  Axel Cleeremans, Bert Timmermans, Antoine Pasquali:
  Consciousness and metarepresentation: A computational sketch. 1032-1039
• 
  Stephen Grossberg:
  Consciousness CLEARS the mind. 1040-1053
• 
  Michael H. Herzog, Michael Esfeld, Wulfram Gerstner:
  Consciousness & the small network argument. 1054-1056

Commentaries

• 
  Leon N. Cooper:
  On the problem of consciousness. 1057-1058
• 
  John G. Taylor:
  Commentary on the 'small network' argument. 1059-1060

Volume 20, Number 10, December 2007

Neural Networks Letter

• 
  Su Lee Goh, Danilo P. Mandic:
  An augmented CRTRL for complex-valued recurrent neural networks. 1061-1066

Mathematical and Computational Analysis

• 
  Boshan Chen, Jun Wang:
  Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays. 1067-1080
• 
  Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin:
  Generalized multiscale radial basis function networks. 1081-1094

Engineering and Design

• 
  David A. Elizondo, Ralph Birkenhead, Mario Gongora, Éric D. Taillard, Patrick Luyima:
  Analysis and test of efficient methods for building recursive deterministic perceptron neural networks. 1095-1108

Technology and Applications

• 
  Gail A. Carpenter, Chaitanya Sai Gaddam, Ennio Mingolla:
  CONFIGR: A vision-based model for long-range figure completion. 1109-1131