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

- 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

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

- 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

- R. López-Ruiz, Y. Moreno, A. F. Pacheco, S. Boccaletti, D.-U. Hwang:
**Awaking and sleeping of a complex network.**102-108

- 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

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

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

- Simon M. Stringer, Edmund T. Rolls, P. 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

- 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

- 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

- 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 A. 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

- 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

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

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

- 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

- Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado:
**A modular neural network architecture for step-wise learning of grasping tasks.**631-645

- P. Seidel, Annerose Seidel, Olf Herbarth:
**Multilayer perceptron tumour diagnosis based on chromatography analysis of urinary nucleosides.**646-651

- 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

- Wenlian Lu, Tianping Chen:
**R**714-722^{n}_{+}-global stability of a Cohen-Grossberg neural network system with nonnegative equilibria.

- 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

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

- 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

- 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

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

- 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

- 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

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

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

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

- Ahmad 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

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

- John G. Taylor, Walter J. Freeman, Alex 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

- Leon N. Cooper:
**On the problem of consciousness.**1057-1058

- John G. Taylor:
**Commentary on the 'small network' argument.**1059-1060

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

- 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

- David 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.**1095-1108

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