Neural Networks, Volume 19

Volume 19, Number 1, January 2006

Psychology and Cognitive Science

• 
  Javier Molina-Vilaplana, Juan López Coronado:
  A neural network model for coordination of hand gesture during reach to grasp. 12-30

Neuroscience and Neuropychology

• 
  Tony J. Prescott, Fernando M. Montes González, Kevin N. Gurney, Mark D. Humphries, Peter Redgrave:
  A robot model of the basal ganglia: Behavior and intrinsic processing. 31-61

Mathematical and Computational Analysis

• 
  Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
  The asymptotic equipartition property in reinforcement learning and its relation to return maximization. 62-75
• 
  Shengyuan Xu, James Lam:
  A new approach to exponential stability analysis of neural networks with time-varying delays. 76-83
• 
  Arindam Choudhury, Prasanth B. Nair, Andy J. Keane:
  Constructing a speculative kernel machine for pattern classification. 84-89

Engineering and Design

• 
  Shen Furao, Osamu Hasegawa:
  An incremental network for on-line unsupervised classification and topology learning. 90-106

Volume 19, Number 2, March 2006

Earth Sciences and Environmental Applications of Computational Intelligence

• 
  Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
  2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. 111
• 
  Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
  Computational intelligence in earth sciences and environmental applications: Issues and challenges. 113-121

Climate

• 
  Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz:
  Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction. 122-134
• 
  Yonas B. Dibike, Paulin Coulibaly:
  Temporal neural networks for downscaling climate variability and extremes. 135-144
• 
  Aiming Wu, William W. Hsieh, Benyang Tang:
  Neural network forecasts of the tropical Pacific sea surface temperatures. 145-154

Earth and Ocean

• 
  Alexander Ilin, Harri Valpola, Erkki Oja:
  Exploratory analysis of climate data using source separation methods. 155-167
• 
  Diego G. Loyola:
  Applications of neural network methods to the processing of earth observation satellite data. 168-177
• 
  Julien Brajard, Cédric Jamet, Cyril Moulin, Sylvie Thiria:
  Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols. 178-185
• 
  Biswanath Bhattacharya, Dimitri P. Solomatine:
  Machine learning in soil classification. 186-195
• 
  Julio J. Valdés, Graeme Bonham-Carter:
  Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy. 196-207
• 
  Biswanath Bhattacharya, Dimitri P. Solomatine:
  Machine learning in sedimentation modelling. 208-214

Hydrology

• 
  Dimitri P. Solomatine, Michael Baskara L. A. Siek:
  Modular learning models in forecasting natural phenomena. 215-224
• 
  Durga Lal Shrestha, Dimitri P. Solomatine:
  Machine learning approaches for estimation of prediction interval for the model output. 225-235
• 
  Christian W. Dawson, Linda M. See, Robert J. Abrahart, Alison J. Heppenstall:
  Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England. 236-247
• 
  William B. Levy, Ashlie B. Hocking, Xiangbao Wu:
  Erratum to: Interpreting hippocampal function as recoding and forecasting [Neural Networks 18 (9) 1242-1264]. 248

Volume 19, Number 3, April 2006

The Brain Mechanisms of Imitation Learning

• 
  Aude Billard, Stefan Schaal:
  Special Issue on The Brain Mechanisms of Imitation Learning. 251-253
• 
  Erhan Öztop, Mitsuo Kawato, Michael A. Arbib:
  Mirror neurons and imitation: A computationally guided review. 254-271
• 
  Yiannis Demiris, Gavin Simmons:
  Perceiving the unusual: Temporal properties of hierarchical motor representations for action perception. 272-284
• 
  Eric L. Sauser, Aude Billard:
  Parallel and distributed neural models of the ideomotor principle: An investigation of imitative cortical pathways. 285-298
• 
  Matthew W. Hoffman, David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao:
  A probabilistic model of gaze imitation and shared attention. 299-310
• 
  Raymond H. Cuijpers, Hein T. van Schie, Mathieu Koppen, Wolfram Erlhagen, Harold Bekkering:
  Goals and means in action observation: A computational approach. 311-322
• 
  Masato Ito, Kuniaki Noda, Yukiko Hoshino, Jun Tani:
  Dynamic and interactive generation of object handling behaviors by a small humanoid robot using a dynamic neural network model. 323-337

Volume 19, Number 4, May 2006

Psychology and Cognitive Science

• 
  Cornelius Weber, Stefan Wermter, Mark Elshaw:
  A hybrid generative and predictive model of the motor cortex. 339-353

Neuroscience and Neuropsychology

• 
  Vassilis Cutsuridis, Stavros J. Perantonis:
  A neural network model of Parkinson's disease bradykinesia. 354-374
• 
  Gülay Büyükaksoy Kaplan, Neslihan Serap Sengör, Hakan Gürvit, Ibrahim Genç, Cüneyt Güzelis:
  A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test. 375-387

Mathematical and Computational Analysis

• 
  B. W. Verdaasdonk, H. F. J. M. Koopman, Frans C. T. van der Helm:
  Energy efficient and robust rhythmic limb movement by central pattern generators. 388-400
• 
  Zheng Rong Yang, Jonathan Dry, Rebecca Thomson, T. Charles Hodgman:
  A bio-basis function neural network for protein peptide cleavage activity characterisation. 401-407
• 
  Paulo J. G. Lisboa, Azzam Fouad George Taktak:
  The use of artificial neural networks in decision support in cancer: A systematic review. 408-415
• 
  Pedro M. Talaván, Javier Yáñez:
  The generalized quadratic knapsack problem. A neuronal network approach. 416-428
• 
  Pierre Courrieu:
  Density codes and shape spaces. 429-445
• 
  Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos:
  Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory. 446-468
• 
  Yuichi Sakumura, Shin Ishii:
  Stochastic resonance with differential code in feedforward network with intra-layer random connections. 469-476

Engineering and Design

• 
  Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas:
  Evolutionary product unit based neural networks for regression. 477-486
• 
  Kotaro Hirasawa, Shingo Mabu, Jinglu Hu:
  Propagation and control of stochastic signals through universal learning networks. 487-499
• 
  Stavros Papadokonstantakis, Argyrios I. Lygeros, Sven P. Jacobsson:
  Comparison of recent methods for inference of variable influence in neural networks. 500-513
• 
  Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez:
  An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. 514-528

Volume 19, Number 5, June 2006

Neuroscience and Neuropsychology

• 
  Lee M. Harrison, Andrew Duggins, Karl J. Friston:
  Encoding uncertainty in the hippocampus. 535-546
• 
  Zhihua Wu, Yoko Yamaguchi:
  Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus. 547-563
• 
  Thomas J. Sullivan, Virginia R. de Sa:
  A model of surround suppression through cortical feedback. 564-572
• 
  Nicolas P. Rougier, Julien Vitay:
  Emergence of attention within a neural population. 573-581
• 
  Dan Beamish, I. Scott MacKenzie, Jianhong Wu:
  Speed-accuracy trade-off in planned arm movements with delayed feedback. 582-599
• 
  Alexander Kaske, Wolfgang Maass:
  A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models. 600-609

Mathematical and Computational Analysis

• 
  Thomas Villmann, Frank-Michael Schleif, Barbara Hammer:
  Comparison of relevance learning vector quantization with other metric adaptive classification methods. 610-622
• 
  Vassilis G. Kaburlasos, Stelios E. Papadakis:
  Granular self-organizing map (grSOM) for structure identification. 623-643
• 
  Raymond S. T. Lee:
  Lee-Associator - a chaotic auto-associative network for progressive memory recalling. 644-666
• 
  Yurong Liu, Zidong Wang, Xiaohui Liu:
  Global exponential stability of generalized recurrent neural networks with discrete and distributed delays. 667-675
• 
  Haijun Jiang, Zhidong Teng:
  Dynamics of neural networks with variable coefficients and time-varying delays. 676-683

Engineering and Design

• 
  Stéphane Binczak, Sabir Jacquir, Jean-Marie Bilbault, Viktor B. Kazantsev, Vladimir I. Nekorkin:
  Experimental study of electrical FitzHugh-Nagumo neurons with modified excitability. 684-693
• 
  Furao Shen, Osamu Hasegawa:
  An adaptive incremental LBG for vector quantization. 694-704
• 
  Michail Maniadakis, Panos E. Trahanias:
  Modelling brain emergent behaviours through coevolution of neural agents. 705-720

Volume 19, Numbers 6-7, July-August 2006

Advances in Self Organising Maps - WSOM'05

• 
  Marie Cottrell, Michel Verleysen:
  Advances in Self-Organizing Maps. 721-722
• 
  Teuvo Kohonen:
  Self-organizing neural projections. 723-733
• 
  Thomas J. Sullivan, Virginia R. de Sa:
  Homeostatic synaptic scaling in self-organizing maps. 734-743
• 
  Marc M. Van Hulle:
  Topographic map formation of factorized Edgeworth-expanded kernels. 744-750
• 
  Jörg Ontrup, Helge J. Ritter:
  Large-scale data exploration with the hierarchically growing hyperbolic SOM. 751-761
• 
  Marie Cottrell, Barbara Hammer, Alexander Hasenfuss, Thomas Villmann:
  Batch and median neural gas. 762-771
• 
  Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann:
  Fuzzy classification by fuzzy labeled neural gas. 772-779
• 
  Hujun Yin:
  On the equivalence between kernel self-organising maps and self-organising mixture density networks. 780-784
• 
  Guilherme De A. Barreto, Luís Gustavo M. Souza:
  Adaptive filtering with the self-organizing map: A performance comparison. 785-798
• 
  Takanori Koga, Keiichi Horio, Takeshi Yamakawa:
  The Self-Organizing Relationship (SOR) network employing fuzzy inference based heuristic evaluation. 799-811
• 
  Jean-Claude Fort:
  SOM's mathematics. 812-816
• 
  Anarta Ghosh, Michael Biehl, Barbara Hammer:
  Performance analysis of LVQ algorithms: A statistical physics approach. 817-829
• 
  Joseph Rynkiewicz:
  Self-organizing map algorithm and distortion measure. 830-837
• 
  Patrick Rousset, Christiane Guinot, Bertrand Maillet:
  Understanding and reducing variability of SOM neighbourhood structure. 838-846
• 
  Ludovic Lebart:
  Assessing self organizing maps via contiguity analysis. 847-854
• 
  Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli:
  Fast algorithm and implementation of dissimilarity self-organizing maps. 855-863
• 
  Catherine Aaron:
  Graph-based normalization and whitening for non-linear data analysis. 864-876
• 
  Geoffroy Simon, John Aldo Lee, Michel Verleysen:
  Unfolding preprocessing for meaningful time series clustering. 877-888
• 
  Jarkko Venna, Samuel Kaski:
  Local multidimensional scaling. 889-899
• 
  Yingxin Wu, Masahiro Takatsuka:
  Spherical self-organizing map using efficient indexed geodesic data structure. 900-910
• 
  Georg Pölzlbauer, Michael Dittenbach, Andreas Rauber:
  Advanced visualization of Self-Organizing Maps with vector fields. 911-922
• 
  Pablo A. Estévez, Cristián J. Figueroa:
  Online data visualization using the neural gas network. 923-934
• 
  Elena V. Samsonova, Joost N. Kok, Adriaan P. IJzerman:
  TreeSOM: Cluster analysis in the self-organizing map. 935-949
• 
  Shaun Mahony, Panayiotis V. Benos, Terry J. Smith, Aaron Golden:
  Self-organizing neural networks to support the discovery of DNA-binding motifs. 950-962
• 
  Madalina Olteanu:
  A descriptive method to evaluate the number of regimes in a switching autoregressive model. 963-972
• 
  Gang Leng, Girijesh Prasad, T. Martin McGinnity:
  Erratum to "An on-line algorithm for creating self-organizing fuzzy neural networks" [Neural Networks 17(10)(2004)1477-1493]. 974
• 
  Diego G. Loyola:
  Erratum to "Applications of neural network methods to the processing of earth observation satellite data" [Neural Netw. (2) (2006) 168-177]. 975

Volume 19, Number 8, October 2006

Neurobiology of Decision Making

• 
  Shintaro Funahashi, Daeyeol Lee, Matthew F. S. Rushworth:
  Neurobiology of decision making. 977-979
• 
  Jochen Ditterich:
  Stochastic models of decisions about motion direction: Behavior and physiology. 981-1012
• 
  Patrick Simen, Jonathan D. Cohen, Philip Holmes:
  Rapid decision threshold modulation by reward rate in a neural network. 1013-1026
• 
  Hiroyuki Nakahara, Kae Nakamura, Okihide Hikosaka:
  Extended LATER model can account for trial-by-trial variability of both pre- and post-processes. 1027-1046
• 
  Jerome R. Busemeyer, Ryan K. Jessup, Joseph G. Johnson, James T. Townsend:
  Building bridges between neural models and complex decision making behaviour. 1047-1058
• 
  Claudia Wilimzig, Stefan Schneider, Gregor Schöner:
  The time course of saccadic decision making: Dynamic field theory. 1059-1074
• 
  Alireza Soltani, Daeyeol Lee, Xiao-Jing Wang:
  Neural mechanism for stochastic behaviour during a competitive game. 1075-1090
• 
  Yutaka Sakai, Hiroshi Okamoto, Tomoki Fukai:
  Computational algorithms and neuronal network models underlying decision processes. 1091-1105
• 
  Hiroyuki Ohta, Yukio-Pegio Gunji:
  Recurrent neural network architecture with pre-synaptic inhibition for incremental learning. 1106-1119
• 
  Michael Joshua Frank:
  Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making. 1120-1136
• 
  Yasunobu Igarashi, Yuichi Sakumura, Shin Ishii:
  The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study. 1137-1152
• 
  Peter Dayan, Yael Niv, Ben Seymour, Nathaniel D. Daw:
  The misbehavior of value and the discipline of the will. 1153-1160
• 
  Whitman Richards, H. Sebastian Seung, Galen Pickard:
  Neural voting machines. 1161-1167
• 
  Yu Ohigashi, Takashi Omori:
  Modeling of autonomous problem solving process by dynamic construction of task models in multiple tasks environment. 1169-1180
• 
  Jeong-woo Sohn, Daeyeol Lee:
  Effects of reward expectancy on sequential eye movements in monkeys. 1181-1191
• 
  Josephine E. Haddon, Simon Killcross:
  Both motivational and training factors affect response conflict choice performance in rats. 1192-1202
• 
  Kei Watanabe, Saori Igaki, Shintaro Funahashi:
  Contributions of prefrontal cue-, delay-, and response-period activity to the decision process of saccade direction in a free-choice ODR task. 1203-1222
• 
  Ryohei P. Hasegawa, Yukako T. Hasegawa, Mark A. Segraves:
  Single trial-based prediction of a go/no-go decision in monkey superior colliculus. 1223-1232
• 
  Saori C. Tanaka, Kazuyuki Samejima, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
  Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics. 1233-1241
• 
  Masahiko Haruno, Mitsuo Kawato:
  Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning. 1242-1254
• 
  Masamichi Sakagami, Xiaochuan Pan, Bob Uttl:
  Behavioral inhibition and prefrontal cortex in decision-making. 1255-1265
• 
  Matthias Brand, Kirsten Labudda, Hans J. Markowitsch:
  Neuropsychological correlates of decision-making in ambiguous and risky situations. 1266-1276
• 
  Rudolf N. Cardinal:
  Neural systems implicated in delayed and probabilistic reinforcement. 1277-1301
• 
  M. E. Walton, Steven W. Kennerley, D. M. Bannerman, P. E. M. Phillips, Matthew F. S. Rushworth:
  Weighing up the benefits of work: Behavioral and neural analyses of effort-related decision making. 1302-1314
• 
  Kenji Matsumoto, Madoka Matsumoto, Hiroshi Abe:
  Goal-based action selection and utility-based action bias. 1315-1320

Volume 19, Number 9, November 2006

Brain and Attention, Brain and Attention

• 
  John G. Taylor, Anna Christina Nobre, Kimron L. Shapiro:
  Introduction to the special issue on 'Brain & Attention'. 1321-1328
• 
  Jyoti Mishra, Jean-Marc Fellous, Terrence J. Sejnowski:
  Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron. 1329-1346
• 
  Neill R. Taylor, Matthew Hartley, John G. Taylor:
  The micro-structure of attention. 1347-1370
• 
  Fred H. Hamker, Marc Zirnsak:
  V4 receptive field dynamics as predicted by a systems-level model of visual attention using feedback from the frontal eye field. 1371-1382
• 
  Edmund T. Rolls, Gustavo Deco:
  Attention in natural scenes: Neurophysiological and computational bases. 1383-1394
• 
  Dirk B. Walther, Christof Koch:
  Modeling attention to salient proto-objects. 1395-1407
• 
  Nienke J. H. Korsten, Nickolaos F. Fragopanagos, Matthew Hartley, Neill R. Taylor, John G. Taylor:
  Attention as a controller. 1408-1421
• 
  Michael I. Posner, Brad E. Sheese, Yalçin Odludas, YiYuan Tang:
  Analyzing and shaping human attentional networks. 1422-1429
• 
  Robert Ward, Ronnie Ward:
  Cognitive conflict without explicit conflict monitoring in a dynamical agent. 1430-1436

Commentaries

• 
  Zhaoping Li, Peter Dayan:
  Pre-attentive visual selection. 1437-1439
• 
  Marius Usher:
  What has been learned from computational models of attention. 1440-1442
• 
  Andreas K. Kreiter:
  How do we model attention-dependent signal routing? 1443-1444
• 
  Joachim Gross:
  The role of neural oscillations in attention: Perspectives for computational models. 1445-1446
• 
  Chad M. Sylvester, Giovanni d'Avossa, Maurizio Corbetta:
  Models of human visual attention should consider trial-by-trial variability in preparatory neural signals. 1447-1449
• 
  Anna Christina Nobre, Kimron L. Shapiro:
  Other dimensions of attention. 1450-1452
• 
  Rik Vandenberghe:
  Astronomia nova to human brain mapping. 1453-1454
• 
  Bernhard Hommel:
  On the social psychology of modelling. 1455-1457
• 
  Antonino Raffone:
  Synthetic computational models of selective attention. 1458-1460
• 
  Claus Bundesen:
  Mathematics bridging cognition and single-cell physiology. 1461-1462

Volume 19, Number 10, December 2006

Neural Network Letter

• 
  Yuichi Katori, Naoki Masuda, Kazuyuki Aihara:
  Dynamic switching of neural codes in networks with gap junctions. 1463-1466

Psychology and Cognitive Science

• 
  Matthew de Brecht, Jun Saiki:
  A neural network implementation of a saliency map model. 1467-1474
• 
  Matthew C. Casey, Khurshid Ahmad:
  A competitive neural model of small number detection. 1475-1489

Neuroscience and Neuropsychology

• 
  Markus Butz, Konrad Lehmann, Ingolf E. Dammasch, Gertraud Teuchert-Noodt:
  A theoretical network model to analyse neurogenesis and synaptogenesis in the dentate gyrus. 1490-1505

Mathematical and Computational Analysis

• 
  Sarunas Raudys:
  Trainable fusion rules. I. Large sample size case. 1506-1516
• 
  Sarunas Raudys:
  Trainable fusion rules. II. Small sample-size effects. 1517-1527
• 
  Zhigang Zeng, Jun Wang:
  Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli. 1528-1537
• 
  Kening Lu, Daoyi Xu, Zhichun Yang:
  Global attraction and stability for Cohen-Grossberg neural networks with delays. 1538-1549
• 
  Udo von Toussaint, Silvio Gori, Volker Dose:
  Invariance priors for Bayesian feed-forward neural networks. 1550-1557
• 
  Seungjin Choi:
  Differential learning algorithms for decorrelation and independent component analysis. 1558-1567
• 
  Alberto Forti, Gian Luca Foresti:
  Growing Hierarchical Tree SOM: An unsupervised neural network with dynamic topology. 1568-1580
• 
  Daniel W. C. Ho, Jinling Liang, James Lam:
  Global exponential stability of impulsive high-order BAM neural networks with time-varying delays. 1581-1590
• 
  Qun Song, Nikola K. Kasabov:
  TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling. 1591-1596
• 
  Stefano Merler, Giuseppe Jurman:
  Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel. 1597-1611
• 
  Leonardo V. Ferreira, Eugenius Kaszkurewicz, Amit Bhaya:
  Support vector classifiers via gradient systems with discontinuous righthand sides. 1612-1623
• 
  Alfredo Vellido:
  Missing data imputation through GTM as a mixture of t-distributions. 1624-1635

Engineering and Design

• 
  George Mengov, Kalin Georgiev, Stefan Pulov, Trifon Trifonov, Krassimir T. Atanassov:
  Fast computation of a gated dipole field. 1636-1647
• 
  Radhakant Padhi, Nishant Unnikrishnan, Xiaohua Wang, Sivasubramanya Nadar Balakrishnan:
  A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems. 1648-1660