Journal: Neural Networks

Volume 19, Issue 9

1321 -- 1328J. G. Taylor, A. C. Nobre, K. Shapiro. Introduction to the special issue on Brain & Attention
1329 -- 1346Jyoti Mishra, Jean-Marc Fellous, Terrence J. Sejnowski. Selective attention through phase relationship of excitatory and inhibitory input synchrony in a model cortical neuron
1347 -- 1370Neill R. Taylor, Matthew Hartley, John G. Taylor. The micro-structure of attention
1371 -- 1382Fred Henrik Hamker, Marc Zirnsak. V4 receptive field dynamics as predicted by a systems-level model of visual attention using feedback from the frontal eye field
1383 -- 1394Edmund T. Rolls, Gustavo Deco. Attention in natural scenes: Neurophysiological and computational bases
1395 -- 1407Dirk Walther, Christof Koch. Modeling attention to salient proto-objects
1408 -- 1421Nienke J. H. Korsten, Nickolaos F. Fragopanagos, Matthew Hartley, Neill R. Taylor, John G. Taylor. Attention as a controller
1422 -- 1429Michael I. Posner, Brad E. Sheese, Yalçin Odludas, Yiyuan Tang. Analyzing and shaping human attentional networks
1430 -- 1436Robert Ward, Ronnie Ward. Cognitive conflict without explicit conflict monitoring in a dynamical agent
1437 -- 1439Zhaoping Li, Peter Dayan. Pre-attentive visual selection
1440 -- 1442Marius Usher. What has been learned from computational models of attention
1443 -- 1444Andreas K. Kreiter. How do we model attention-dependent signal routing?
1445 -- 1446Joachim Gross. The role of neural oscillations in attention: Perspectives for computational models
1447 -- 1449Chad M. Sylvester, Giovanni d Avossa, Maurizio Corbetta. Models of human visual attention should consider trial-by-trial variability in preparatory neural signals
1450 -- 1452Anna Christina Nobre, Kimron L. Shapiro. Other dimensions of attention
1453 -- 1454Rik Vandenberghe. Astronomia nova to human brain mapping
1455 -- 1457Bernhard Hommel. On the social psychology of modelling
1458 -- 1460Antonino Raffone. Synthetic computational models of selective attention
1461 -- 1462Claus Bundesen. Mathematics bridging cognition and single-cell physiology

Volume 19, Issue 8

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

Volume 19, Issue 6-7

721 -- 722Marie Cottrell, Michel Verleysen. Advances in Self-Organizing Maps
723 -- 733Teuvo Kohonen. Self-organizing neural projections
734 -- 743Thomas J. Sullivan, Virginia R. de Sa. Homeostatic synaptic scaling in self-organizing maps
744 -- 750Marc M. Van Hulle. Topographic map formation of factorized Edgeworth-expanded kernels
751 -- 761Jörg Ontrup, Helge Ritter. Large-scale data exploration with the hierarchically growing hyperbolic SOM
762 -- 771Marie Cottrell, Barbara Hammer, Alexander Hasenfuss, Thomas Villmann. Batch and median neural gas
772 -- 779Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann. Fuzzy classification by fuzzy labeled neural gas
780 -- 784Hujun Yin. On the equivalence between kernel self-organising maps and self-organising mixture density networks
785 -- 798Guilherme De A. Barreto, Luís Gustavo M. Souza. Adaptive filtering with the self-organizing map: A performance comparison
799 -- 811Takanori Koga, Keiichi Horio, Takeshi Yamakawa. The Self-Organizing Relationship (SOR) network employing fuzzy inference based heuristic evaluation
812 -- 816Jean-Claude Fort. SOM s mathematics
817 -- 829Anarta Ghosh, Michael Biehl, Barbara Hammer. Performance analysis of LVQ algorithms: A statistical physics approach
830 -- 837Joseph Rynkiewicz. Self-organizing map algorithm and distortion measure
838 -- 846Patrick Rousset, Christiane Guinot, Bertrand Maillet. Understanding and reducing variability of SOM neighbourhood structure
847 -- 854Ludovic Lebart. Assessing self organizing maps via contiguity analysis
855 -- 863Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Golli. Fast algorithm and implementation of dissimilarity self-organizing maps
864 -- 876Catherine Aaron. Graph-based normalization and whitening for non-linear data analysis
877 -- 888Geoffroy Simon, John Aldo Lee, Michel Verleysen. Unfolding preprocessing for meaningful time series clustering
889 -- 899Jarkko Venna, Samuel Kaski. Local multidimensional scaling
900 -- 910Yingxin Wu, Masahiro Takatsuka. Spherical self-organizing map using efficient indexed geodesic data structure
911 -- 922Georg Pölzlbauer, Michael Dittenbach, Andreas Rauber. Advanced visualization of Self-Organizing Maps with vector fields
923 -- 934Pablo A. Estévez, Cristián J. Figueroa. Online data visualization using the neural gas network
935 -- 949Elena V. Samsonova, Joost N. Kok, Adriaan P. IJzerman. TreeSOM: Cluster analysis in the self-organizing map
950 -- 962Shaun Mahony, Panayiotis V. Benos, Terry J. Smith, Aaron Golden. Self-organizing neural networks to support the discovery of DNA-binding motifs
963 -- 972Madalina Olteanu. A descriptive method to evaluate the number of regimes in a switching autoregressive model
974 -- 0Gang 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]
975 -- 0Diego Loyola. Erratum to Applications of neural network methods to the processing of earth observation satellite data [Neural Netw. (2) (2006) 168-177]

Volume 19, Issue 5

535 -- 546Lee M. Harrison, Andrew Duggins, Karl J. Friston. Encoding uncertainty in the hippocampus
547 -- 563Zhihua Wu, Yoko Yamaguchi. Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus
564 -- 572Thomas J. Sullivan, Virginia R. de Sa. A model of surround suppression through cortical feedback
573 -- 581Nicolas P. Rougier, Julien Vitay. Emergence of attention within a neural population
582 -- 599Dan Beamish, I. Scott MacKenzie, Jianhong Wu. Speed-accuracy trade-off in planned arm movements with delayed feedback
600 -- 609Alexander Kaske, Wolfgang Maass. A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models
610 -- 622Thomas Villmann, Frank-Michael Schleif, Barbara Hammer. Comparison of relevance learning vector quantization with other metric adaptive classification methods
623 -- 643Vassilis G. Kaburlasos, Stelios E. Papadakis. Granular self-organizing map (grSOM) for structure identification
644 -- 666Raymond S. T. Lee. Lee-Associator - a chaotic auto-associative network for progressive memory recalling
667 -- 675Yurong Liu, Zidong Wang, Xiaohui Liu. Global exponential stability of generalized recurrent neural networks with discrete and distributed delays
676 -- 683Haijun Jiang, Zhidong Teng. Dynamics of neural networks with variable coefficients and time-varying delays
684 -- 693Stéphane Binczak, Sabir Jacquir, Jean-Marie Bilbault, Viktor B. Kazantsev, Vladimir I. Nekorkin. Experimental study of electrical FitzHugh-Nagumo neurons with modified excitability
694 -- 704F. Shen, O. Hasegawa. An adaptive incremental LBG for vector quantization
705 -- 720Michail Maniadakis, Panos E. Trahanias. Modelling brain emergent behaviours through coevolution of neural agents

Volume 19, Issue 4

339 -- 353Cornelius Weber, Stefan Wermter, Mark Elshaw. A hybrid generative and predictive model of the motor cortex
354 -- 374Vassilis Cutsuridis, Stavros J. Perantonis. A neural network model of Parkinson s disease bradykinesia
375 -- 387Gülay Büyükaksoy Kaplan, Neslihan S. Sengör, Hakan Gürvit, Ibrahim Genç, Cüneyt Güzelis. A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test
388 -- 400B. W. Verdaasdonk, H. F. J. M. Koopman, Frans C. T. van der Helm. Energy efficient and robust rhythmic limb movement by central pattern generators
401 -- 407Zheng Rong Yang, Jonathan Dry, Rebecca Thomson, T. Charles Hodgman. A bio-basis function neural network for protein peptide cleavage activity characterisation
408 -- 415Paulo J. Lisboa, Azzam Fouad George Taktak. The use of artificial neural networks in decision support in cancer: A systematic review
416 -- 428Pedro M. Talaván, Javier Yáñez. The generalized quadratic knapsack problem. A neuronal network approach
429 -- 445Pierre Courrieu. Density codes and shape spaces
446 -- 468Stephen J. Verzi, Gregory L. Heileman, Michael Georgiopoulos. Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory
469 -- 476Yuichi Sakumura, Shin Ishii. Stochastic resonance with differential code in feedforward network with intra-layer random connections
477 -- 486Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas. Evolutionary product unit based neural networks for regression
487 -- 499Kotaro Hirasawa, Shingo Mabu, Jinglu Hu. Propagation and control of stochastic signals through universal learning networks
500 -- 513Stavros Papadokonstantakis, Argyrios I. Lygeros, Sven P. Jacobsson. Comparison of recent methods for inference of variable influence in neural networks
514 -- 528Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez. An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization

Volume 19, Issue 3

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

Volume 19, Issue 2

111 -- 0Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés. 2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction
113 -- 121Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés. Computational intelligence in earth sciences and environmental applications: Issues and challenges
122 -- 134Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz. Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction
135 -- 144Yonas B. Dibike, Paulin Coulibaly. Temporal neural networks for downscaling climate variability and extremes
145 -- 154Aiming Wu, William W. Hsieh, Benyang Tang. Neural network forecasts of the tropical Pacific sea surface temperatures
155 -- 167Alexander Ilin, Harri Valpola, Erkki Oja. Exploratory analysis of climate data using source separation methods
168 -- 177Diego Loyola. Applications of neural network methods to the processing of earth observation satellite data
178 -- 185Julien 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
186 -- 195Biswanath Bhattacharya, Dimitri P. Solomatine. Machine learning in soil classification
196 -- 207Julio J. Valdés, Graeme Bonham-Carter. Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy
208 -- 214Biswanath Bhattacharya, Dimitri P. Solomatine. Machine learning in sedimentation modelling
215 -- 224Dimitri P. Solomatine, Michael Baskara L. A. Siek. Modular learning models in forecasting natural phenomena
225 -- 235Durga L. Shrestha, Dimitri P. Solomatine. Machine learning approaches for estimation of prediction interval for the model output
236 -- 247Christian W. Dawson, Linda M. See, Robert J. Abrahart, Alison J. Heppenstall. Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England
248 -- 0William B. Levy, Ashlie B. Hocking, Xiangbao Wu. Erratum to: Interpreting hippocampal function as recoding and forecasting [Neural Networks 18 (9) 1242-1264]

Volume 19, Issue 10

1463 -- 1466Yuichi Katori, Naoki Masuda, Kazuyuki Aihara. Dynamic switching of neural codes in networks with gap junctions
1467 -- 1474Matthew de Brecht, Jun Saiki. A neural network implementation of a saliency map model
1475 -- 1489Matthew C. Casey, Khurshid Ahmad. A competitive neural model of small number detection
1490 -- 1505Markus Butz, Konrad Lehmann, Ingolf E. Dammasch, Gertraud Teuchert-Noodt. A theoretical network model to analyse neurogenesis and synaptogenesis in the dentate gyrus
1506 -- 1516Sarunas Raudys. Trainable fusion rules. I. Large sample size case
1517 -- 1527Sarunas Raudys. Trainable fusion rules. II. Small sample-size effects
1528 -- 1537Zhigang Zeng, Jun Wang. Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli
1538 -- 1549Kening Lu, Daoyi Xu, Zhichun Yang. Global attraction and stability for Cohen-Grossberg neural networks with delays
1550 -- 1557Udo v. Toussaint, Silvio Gori, Volker Dose. Invariance priors for Bayesian feed-forward neural networks
1558 -- 1567Seungjin Choi. Differential learning algorithms for decorrelation and independent component analysis
1568 -- 1580Alberto Forti, Gian Luca Foresti. Growing Hierarchical Tree SOM: An unsupervised neural network with dynamic topology
1581 -- 1590Daniel W. C. Ho, Jinling Liang, James Lam. Global exponential stability of impulsive high-order BAM neural networks with time-varying delays
1591 -- 1596Qun Song, Nikola Kasabov. TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling
1597 -- 1611Stefano Merler, Giuseppe Jurman. Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel
1612 -- 1623Leonardo V. Ferreira, Eugenius Kaszkurewicz, Amit Bhaya. Support vector classifiers via gradient systems with discontinuous righthand sides
1624 -- 1635Alfredo Vellido. Missing data imputation through GTM as a mixture of t-distributions
1636 -- 1647George Mengov, Kalin Georgiev, Stefan Pulov, Trifon Trifonov, Krassimir T. Atanassov. Fast computation of a gated dipole field
1648 -- 1660Radhakant Padhi, Nishant Unnikrishnan, Xiaohua Wang, S. N. Balakrishnan. A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems

Volume 19, Issue 1

12 -- 30Javier Molina-Vilaplana, Juan López Coronado. A neural network model for coordination of hand gesture during reach to grasp
31 -- 61Tony 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
62 -- 75Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai. The asymptotic equipartition property in reinforcement learning and its relation to return maximization
76 -- 83Shengyuan Xu, James Lam. A new approach to exponential stability analysis of neural networks with time-varying delays
84 -- 89Arindam Choudhury, Prasanth B. Nair, Andy J. Keane. Constructing a speculative kernel machine for pattern classification
90 -- 106Shen Furao, Osamu Hasegawa. An incremental network for on-line unsupervised classification and topology learning