Journal: Neural Networks

Volume 20, Issue 9

929 -- 931John G. Taylor, Walter J. Freeman, Alex Cleeremans. Introduction to the special issue on Brain and Consciousness
932 -- 937Igor Aleksander, Helen Morton. Phenomenology and digital neural architectures
938 -- 946Ricardo Sanz, Ignacio López, Manuel Rodríguez, Carlos Hernandez. Principles for consciousness in integrated cognitive control
947 -- 954L. Andrew Coward, Ron Sun. Hierarchical approaches to understanding consciousness
955 -- 961Bernard J. Baars, Stan Franklin. An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA
962 -- 982Edmund T. Rolls. A computational neuroscience approach to consciousness
983 -- 992John G. Taylor. CODAM: A neural network model of consciousness
993 -- 1003John G. Taylor, Nickolaos F. Fragopanagos. Resolving some confusions over attention and consciousness
1004 -- 1020David LaBerge, Ray Kasevich. The apical dendrite theory of consciousness
1021 -- 1031Walter J. Freeman. Indirect biological measures of consciousness from field studies of brains as dynamical systems
1032 -- 1039Axel Cleeremans, Bert Timmermans, Antoine Pasquali. Consciousness and metarepresentation: A computational sketch
1040 -- 1053Stephen Grossberg. Consciousness CLEARS the mind
1054 -- 1056Michael H. Herzog, Michael Esfeld, Wulfram Gerstner. Consciousness & the small network argument
1057 -- 1058Leon N. Cooper. On the problem of consciousness
1059 -- 1060John G. Taylor. Commentary on the small network argument

Volume 20, Issue 8

851 -- 867Thomas M. Murphy, Leif H. Finkel. Shape representation by a network of V4-like cells
868 -- 873Tingwen Huang, Andrew Chan, Yu Huang, Jinde Cao. Stability of Cohen-Grossberg neural networks with time-varying delays
874 -- 892Ahmad Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, Georgios C. Anagnostopoulos. GFAM: Evolving Fuzzy ARTMAP neural networks
893 -- 903Shen Furao, Tomotaka Ogura, Osamu Hasegawa. An enhanced self-organizing incremental neural network for online unsupervised learning
904 -- 916Kunihiko Fukushima. Interpolating vectors for robust pattern recognition
917 -- 927Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsch II. Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization

Volume 20, Issue 7

763 -- 780Alessio Plebe, Rosaria Grazia Domenella. Object recognition by artificial cortical maps
781 -- 790Takashi Kanamaru. Chaotic pattern transitions in pulse neural networks
791 -- 798Junbin Gao, Daming Shi, Xiaomao Liu. Significant vector learning to construct sparse kernel regression models
799 -- 809He Huang, Daniel W. C. Ho, Yuzhong Qu. Robust stability of stochastic delayed additive neural networks with Markovian switching
810 -- 818Wenwu Yu, Jinde Cao, Jun Wang. An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis
819 -- 831Hiroyuki Takizawa, Hiroaki Kobayashi. Partial distortion entropy maximization for online data clustering
832 -- 841Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley. Optimally regularised kernel Fisher discriminant classification
842 -- 850Dezhong Peng, Zhang Yi, Wenjing Luo. Convergence analysis of a simple minor component analysis algorithm

Volume 20, Issue 6

653 -- 667Motoharu Yoshida, Hatsuo Hayashi. Emergence of sequence sensitivity in a hippocampal CA3-CA1 model
668 -- 675Mathieu Bertin, Nicolas Schweighofer, Kenji Doya. Multiple model-based reinforcement learning explains dopamine neuronal activity
676 -- 689Kiran Kalidindi, Howard Bowman. Using epsiloon-greedy reinforcement learning methods to further understand ventromedial prefrontal patients deficits on the Iowa Gambling Task
690 -- 704Vassilis Cutsuridis, Nikolaos Smyrnis, Ioannis Evdokimidis, Stavros J. Perantonis. A neural model of decision-making by the superior colicullus in an antisaccade task
705 -- 713Yukihiro Tsuboshita, Hiroshi Okamoto. Context-dependent retrieval of information by neural-network dynamics with continuous attractors
714 -- 722Wenlian Lu, Tianping Chen. R:::n:::::+::-global stability of a Cohen-Grossberg neural network system with nonnegative equilibria
723 -- 735Yutaka Nakamura, Takeshi Mori, Masa-aki Sato, Shin Ishii. Reinforcement learning for a biped robot based on a CPG-actor-critic method
736 -- 747Kary Främling. Guiding exploration by pre-existing knowledge without modifying reward
748 -- 756Maria Teresa Martín-Valdivia, Luis Alfonso Ureña López, Manuel García Vega. The learning vector quantization algorithm applied to automatic text classification tasks
757 -- 758Aaron 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
759 -- 760Da-Wei Chang. Comments on Absolute exponential stability of a class of neural networks with unbounded delay
761 -- 762Rudolph 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]

Volume 20, Issue 5

559 -- 563Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi. Machine learning approach to color constancy
564 -- 576Rafal Bogacz. Optimal decision network with distributed representation
577 -- 589Youshen Xia, Gang Feng. A new neural network for solving nonlinear projection equations
590 -- 597Rosario Capparuccia, Renato De Leone, Emilia Marchitto. Integrating support vector machines and neural networks
598 -- 609Liang Chen, Naoyuki Tokuda, Akira Nagai. Capacity analysis for a two-level decoupled Hamming network for associative memory under a noisy environment
610 -- 620Ana M. González, José R. Dorronsoro. Natural learning in NLDA networks
621 -- 630Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit. Concerning the differentiability of the energy function in vector quantization algorithms
631 -- 645Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado. A modular neural network architecture for step-wise learning of grasping tasks
646 -- 651P. Seidel, Annerose Seidel, Olf Herbarth. Multilayer perceptron tumour diagnosis based on chromatography analysis of urinary nucleosides

Volume 20, Issue 4

433 -- 0Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés. Computational intelligence in earth and environmental sciences
434 -- 443William W. Hsieh. Nonlinear principal component analysis of noisy data
444 -- 453Alex J. Cannon. Nonlinear analog predictor analysis: A coupled neural network/analog model for climate downscaling
454 -- 461Vladimir M. Krasnopolsky. Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches
462 -- 478Rudolph 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
479 -- 483Helmut Schiller. Model inversion by parameter fit using NN emulating the forward model - Evaluation of indirect measurements
484 -- 497Gordon Wichern, Mahmood R. Azimi-Sadjadi, Michael Mungiole. Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres
498 -- 508Julio J. Valdés, Alan J. Barton. Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting
509 -- 518Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ian L. Turner. Recurrent neural network modeling of nearshore sandbar behavior
519 -- 527Reinhard Teschl, Walter L. Randeu, Franz Teschl. Improving weather radar estimates of rainfall using feed-forward neural networks
528 -- 536Gerald Corzo, Dimitri P. Solomatine. Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting
537 -- 549Gavin C. Cawley, Gareth J. Janacek, Malcolm R. Haylock, Stephen R. Dorling. Predictive uncertainty in environmental modelling
550 -- 558Markus Harva. A variational EM approach to predictive uncertainty

Volume 20, Issue 3

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

Volume 20, Issue 2

153 -- 155Tony Vladusich. Chromatic aberration and the roles of double-opponent and color-luminance neurons in color vision
156 -- 171Yoram Louzoun, Henri Atlan. The emergence of goals in a self-organizing network: A non-mentalist model of intentional actions
172 -- 181Simon M. Stringer, Edmund T. Rolls, P. Taylor. Learning movement sequences with a delayed reward signal in a hierarchical model of motor function
182 -- 193Anatoli Gorchetchnikov, Stephen Grossberg. Space, time and learning in the hippocampus: How fine spatial and temporal scales are expanded into population codes for behavioral control
194 -- 209François 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
210 -- 219Kazuho Watanabe, Sumio Watanabe. Stochastic complexities of general mixture models in variational Bayesian learning
220 -- 229Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor. Efficiently updating and tracking the dominant kernel principal components
230 -- 235Joaquín Marro, Joaquín J. Torres, Jesús M. Cortés. Chaotic hopping between attractors in neural networks
236 -- 244Michal Cernanský, Matej Makula, Lubica Benusková. Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures
245 -- 259Mingyu 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
260 -- 273Mustaq Hussain, John P. Eakins. Component-based visual clustering using the self-organizing map
274 -- 284Jeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe. Self-organizing maps with dynamic learning for signal reconstruction
285 -- 286Saori 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]

Volume 20, Issue 10

1061 -- 1066Su Lee Goh, Danilo P. Mandic. An augmented CRTRL for complex-valued recurrent neural networks
1067 -- 1080Boshan 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
1081 -- 1094Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin. Generalized multiscale radial basis function networks
1095 -- 1108David A. Elizondo, Ralph Birkenhead, Mario A. Góngora, Éric D. Taillard, Patrick Luyima. Analysis and test of efficient methods for building recursive deterministic perceptron neural networks
1109 -- 1131Gail A. Carpenter, Chaitanya Sai Gaddam, Ennio Mingolla. CONFIGR: A vision-based model for long-range figure completion

Volume 20, Issue 1

10 -- 11Stephen Grossberg, Mitsuo Kawato, John G. Taylor. Editorial for 2007: Another year of exciting special issues!
12 -- 21Shuzo Sakata, Tetsuo Yamamori. Topological relationships between brain and social networks
22 -- 33Heiko Hoffmann. Perception through visuomotor anticipation in a mobile robot
34 -- 47Ron Sun, Xi Zhang, Paul Slusarz, Robert Mathews. The interaction of implicit learning, explicit hypothesis testing learning and implicit-to-explicit knowledge extraction
48 -- 61Christopher Johansson, Anders Lansner. Towards cortex sized artificial neural systems
62 -- 77Quang-Cuong Pham, Jean-Jacques E. Slotine. Stable concurrent synchronization in dynamic system networks
78 -- 93Emad W. Saad, Donald C. Wunsch II. Neural network explanation using inversion
94 -- 101Tianguang Chu, Cishen Zhang. New necessary and sufficient conditions for absolute stability of neural networks
102 -- 108R. López-Ruiz, Y. Moreno, A. F. Pacheco, S. Boccaletti, D.-U. Hwang. Awaking and sleeping of a complex network
109 -- 128José 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
129 -- 138Cédric Archambeau, Michel Verleysen. Robust Bayesian clustering
139 -- 152Javier Vía, Ignacio Santamaría, Jesús Pérez. A learning algorithm for adaptive canonical correlation analysis of several data sets