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ORCIDNeural Networks, Volume 19
Volume 19, Number 1, January 2006
- Javier Molina-Vilaplana
, Juan López Coronado:
A neural network model for coordination of hand gesture during reach to grasp. 12-30
- 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
- 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
- Shen Furao, Osamu Hasegawa:
An incremental network for on-line unsupervised classification and topology learning. 90-106
Volume 19, Number 2, March 2006
- 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
- 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
- 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
- Dimitri P. Solomatine, Michael Baskara L. A. Siek:
Modular learning models in forecasting natural phenomena. 215-224 - Durga L. 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
- 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
- Cornelius Weber, Stefan Wermter, Mark Elshaw:
A hybrid generative and predictive model of the motor cortex. 339-353
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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 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
- Zhaoping Li, Peter Dayan:
Pre-attentive visual selection. 1437-1439