Volume 21, Number 1, January 2008

• 
  Kenji Doya, Stephen Grossberg, John G. Taylor: Neural Networks goes electronic at twenty! 1-2
• 
  Tadahiro Taniguchi, Tetsuo Sawaragi: Incremental acquisition of multiple nonlinear forward models based on differentiation process of schema model. 13-27
• 
  L. Sivridis, Athanasia Kotini, Photios A. Anninos: The process of learning in neural net models with Poisson and Gauss connectivities. 28-35

Mathematical and Computational Analysis

• 
  Nikolay Y. Nikolaev, Lilian M. de Menezes: Sequential Bayesian kernel modelling with non-Gaussian noise. 36-47
• 
  Katsuyuki Hagiwara, Kenji Fukumizu: Relation between weight size and degree of over-fitting in neural network regression. 48-58
• 
  Krzysztof Patan: Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks. 59-64

Engineering and Design

• 
  Stephan Kirstein, Heiko Wersing, Edgar Körner: A biologically motivated visual memory architecture for online learning of objects. 65-77

Technology and Applications

• 
  Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso: The unimodal model for the classification of ordinal data. 78-91
• 
  Holger Fröhlich, Andreas Hoenselaar, Jonas Eichner, Holger Rosenbrock, Gerald Birk, Andreas Zell: Automated classification of the behavior of rats in the forced swimming test with support vector machines. 92-101
• 
  Shiwei Wang, D. L. Yu: Adaptive RBF network for parameter estimation and stable air-fuel ratio control. 102-112

Volume 21, Numbers 2-3, March-April 2008

Advances in Neural Networks Research: IJCNN '07, 2007 International Joint Conference on Neural Networks IJCNN '07

• 
  David G. Brown, Jennie Si, Ron Sun: Special Issue on Advances in Neural Networks Research: IJCNN'07. 113

Artificial Neural Networks

• 
  Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara: Threshold control of chaotic neural network. 114-121
• 
  Valentina Lanza, Fernando Corinto, Marco Gilli: On the study of cellular nonlinear networks via amplitude and phase dynamics. 122-129
• 
  Gerardo Noriega: Modeling propagation delays in the development of SOMs - a parallel with abnormal brain growth in autism. 130-139
• 
  Hiroyuki Torikai, Atsuo Funew, Toshimichi Saito: Digital spiking neuron and its learning for approximation of various spike-trains. 140-149
• 
  Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue: Multilayer in-place learning networks for modeling functional layers in the laminar cortex. 150-159
• 
  Hujun Yin: On multidimensional scaling and the embedding of self-organising maps. 160-169

Machine Learning

• 
  Carlos Alzate, Johan A. K. Suykens: A regularized kernel CCA contrast function for ICA. 170-181
• 
  Rui Chang, Wilfried Brauer, Martin Stetter: Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference. 182-192
• 
  Eiji Mizutani, Stuart E. Dreyfus: Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature. 193-203
• 
  Vladimir Pestov: An axiomatic approach to intrinsic dimension of a dataset. 204-213
• 
  Yiming Wu, Xiuwen Liu, Washington Mio: Learning representations for object classification using multi-stage optimal component analysis. 214-221
• 
  Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, Jose C. Principe: A new nonlinear similarity measure for multichannel signals. 222-231
• 
  Zhirong Yang, Jorma Laaksonen: Principal whitened gradient for information geometry. 232-240

Natural Systems, Cognitive Science, and Cognitive Modeling

• 
  Aydin Farajidavar, Sohrab Saeb, Khosrow Behbehani: Incorporating synaptic time-dependent plasticity and dynamic synapse into a computational model of wind-up. 241-249
• 
  José F. Fontanari, Leonid I. Perlovsky: How language can help discrimination in the Neural Modelling Fields framework. 250-256
• 
  Walter J. Freeman: A pseudo-equilibrium thermodynamic model of information processing in nonlinear brain dynamics. 257-265
• 
  Nikola K. Kasabov, Vishal Jain, Lubica Benuskova: Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery. 266-275
• 
  Randal A. Koene, Michael E. Hasselmo: Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions CA3 and CA1. 276-288
• 
  Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouchourelou: Modeling a flexible representation machinery of human concept learning. 289-302
• 
  Colin Molter, Yoko Yamaguchi: Impact of temporal coding of presynaptic entorhinal cortex grid cells on the formation of hippocampal place fields. 303-310
• 
  Gualtiero Piccinini: Some neural networks compute, others don't. 311-321
• 
  Adam Ponzi: Dynamical model of salience gated working memory, action selection and reinforcement based on basal ganglia and dopamine feedback. 322-330
• 
  Kazuhiro Shimonomura, Takayuki Kushima, Tetsuya Yagi: Binocular robot vision emulating disparity computation in the primary visual cortex. 331-340
• 
  Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan: Improved mapping of information distribution across the cortical surface with the support vector machine. 341-348

Applications

• 
  Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka: Sigma-delta cellular neural network for 2D modulation. 349-357
• 
  Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo: Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming. 358-367
• 
  Angelo Ciaramella, Sergio Cocozza, Francesco Iorio, Gennaro Miele, Francesco Napolitano, Michele Pinelli, Giancarlo Raiconi, Roberto Tagliaferri: Interactive data analysis and clustering of genomic data. 368-378
• 
  Alexandru George Floares: A reverse engineering algorithm for neural networks, applied to the subthalamopallidal network of basal ganglia. 379-386
• 
  Brandon D. Gallas, David G. Brown: Reader studies for validation of CAD systems. 387-397
• 
  Javid J. Huseynov, Shankar B. Baliga, Alan Widmer, Zvi Boger: An adaptive method for industrial hydrocarbon flame detection. 398-405
• 
  Qingshan Liu, Jun Wang: Two k-winners-take-all networks with discontinuous activation functions. 406-413
• 
  Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Perol, Thérèse Gargi, Valérie Bourdès, Stéphane Bonnevay, Sylvie Négrier: Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. 414-426
• 
  Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo, Jay A. Baker, Georgia D. Tourassi: Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. 427-436
• 
  Fabian Ojeda, Johan A. K. Suykens, Bart De Moor: Low rank updated LS-SVM classifiers for fast variable selection. 437-449
• 
  Xiang Peng, Irwin King: Robust BMPM training based on second-order cone programming and its application in medical diagnosis. 450-457
• 
  Danil V. Prokhorov: Toyota Prius HEV neurocontrol and diagnostics. 458-465
• 
  Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley: Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and multiple FACTS devices. 466-475
• 
  Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski: Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers. 476-483
• 
  Dipti Srinivasan, Vishal Sharma, Kar-Ann Toh: Reduced multivariate polynomial-based neural network for automated traffic incident detection. 484-492
• 
  Bryan D. Thompson, Mahmood R. Azimi-Sadjadi: Iterative multi-channel coherence analysis with applications. 493-501
• 
  Yu-Chiang Frank Wang, David Casasent: New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. 502-510

Hardware

• 
  Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout: Compact hardware liquid state machines on FPGA for real-time speech recognition. 511-523
• 
  Jayawan H. B. Wijekoon, Piotr Dudek: Compact silicon neuron circuit with spiking and bursting behaviour. 524-534

Cross Disciplinary Topics

• 
  Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Hendrik L. Tolman, Alexei A. Belochitski: Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors. 535-543

Special Competitions

• 
  Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. 544-550

Volume 21, Number 4, May 2008

• 
  Stefan Schaal, Yoshihiko Nakamura, Paolo Dario: Special issue on robotics and neuroscience. 551-552
• 
  Jeffrey L. McKinstry, Anil K. Seth, Gerald M. Edelman, Jeffrey L. Krichmar: Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices. 553-561
• 
  Christian Faubel, Gregor Schöner: Learning to recognize objects on the fly: A neurally based dynamic field approach. 562-576
• 
  Renaud Ronsse, Philippe Lefèvre, Rodolphe Sepulchre: Robotics and neuroscience: A rhythmic interaction. 577-583
• 
  Jun Tani, Ryunosuke Nishimoto, Rainer W. Paine: Achieving "organic compositionality" through self-organization: Reviews on brain-inspired robotics experiments. 584-603
• 
  Christian Smith, Mattias Bratt, Henrik I. Christensen: Teleoperation for a ball-catching task with significant dynamics. 604-620
• 
  Arash Mahboobin, Patrick J. Loughlin, Mark S. Redfern, Stuart O. Anderson, Christopher G. Atkeson, Jessica K. Hodgins: Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds. 621-627
• 
  Benoît Girard, Nicolas Tabareau, Quang-Cuong Pham, Alain Berthoz, Jean-Jacques E. Slotine: Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection. 628-641
• 
  Auke Jan Ijspeert: Central pattern generators for locomotion control in animals and robots: A review. 642-653
• 
  Samuel K. Au, Max Berniker, Hugh M. Herr: Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits. 654-666
• 
  Christophe Maufroy, Hiroshi Kimura, Kunikatsu Takase: Towards a general neural controller for quadrupedal locomotion. 667-681
• 
  Jan Peters, Stefan Schaal: Reinforcement learning of motor skills with policy gradients. 682-697

Volume 21, Number 5, June 2008

• 
  William Gnadt, Stephen Grossberg: SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal. 699-758
• 
  Giuseppe Emiliano La Cara, Mauro Ursino: A model of contour extraction including multiple scales, flexible inhibition and attention. 759-773
• 
  Kunihiko Fukushima: Extraction of visual motion and optic flow. 774-785

Mathematical and Computational Analysis

• 
  Peter Auer, Harald Burgsteiner, Wolfgang Maass: A learning rule for very simple universal approximators consisting of a single layer of perceptrons. 786-795

Volume 21, Number 6, August 2008

• 
  Danilo P. Mandic, Wlodzislaw Duch: Preface. 797-798
• 
  Yoshiyuki Asai, Apratim Guha, Alessandro E. P. Villa: Deterministic neural dynamics transmitted through neural networks. 799-809
• 
  Francisco J. Veredas, Héctor Mesa, Luis A. Martínez: Imprecise correlated activity in self-organizing maps of spiking neurons. 810-816
• 
  Elisa Magosso, Cristiano Cuppini, Andrea Serino, Giuseppe Di Pellegrino, Mauro Ursino: A theoretical study of multisensory integration in the superior colliculus by a neural network model. 817-829
• 
  Simon McGregor: Further results in multiset processing with neural networks. 830-837
• 
  Jiri Grim, Jan Hora: Iterative principles of recognition in probabilistic neural networks. 838-846
• 
  Ying Wu, Colin Fyfe, Pei Ling Lai: Two forms of immediate reward reinforcement learning for exploratory data analysis. 847-855
• 
  Mark Robinson, Cristina González Castellano, Faisal Rezwan, Rod Adams, Neil Davey, Alastair Rust, Yi Sun: Combining experts in order to identify binding sites in yeast and mouse genomic data. 856-861
• 
  Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt: Event detection and localization for small mobile robots using reservoir computing. 862-871
• 
  Giuliano Grossi, Federico Pedersini: FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization. 872-879

Volume 21, Number 7, September 2008

• 
  Vito Logar, Ales Belic, Blaz Koritnik, Simon Brezan, Janez Zidar, Rihard Karba, Drago Matko: Using ANNs to predict a subject's response based on EEG traces. 881-887
• 
  Simon M. Stringer, Edmund T. Rolls: Learning transform invariant object recognition in the visual system with multiple stimuli present during training. 888-903
• 
  Iván Olier, Alfredo Vellido: Advances in clustering and visualization of time series using GTM through time. 904-913
• 
  Jiann-Ming Wu, Meng-Hong Chen, Zheng-Han Lin: Independent component analysis based on marginal density estimation using weighted Parzen windows. 914-924
• 
  Sven Buchholz, Gerald Sommer: On Clifford neurons and Clifford multi-layer perceptrons. 925-935
• 
  Riadh Mtibaa, Masanori Idesawa, Yutaka Sakaguchi, Fumihiko Ishida: A computational model of perceptual grouping and 3D surface completion in the mime effect. 936-944
• 
  Sébastien Issanchou, Jean-Pierre Gauchi: Computer-aided optimal designs for improving neural network generalization. 945-950
• 
  César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz: Multilogistic regression by means of evolutionary product-unit neural networks. 951-961
• 
  Jacques Demongeot, Sylvain Sené: Boundary conditions and phase transitions in neural networks. Simulation results. 962-970
• 
  Jacques Demongeot, Christelle Jézéquel, Sylvain Sené: Boundary conditions and phase transitions in neural networks. Theoretical results. 971-979
• 
  Kenji Nagata, Sumio Watanabe: Asymptotic behavior of exchange ratio in exchange Monte Carlo method. 980-988
• 
  Haikun Wei, Shun-ichi Amari: Dynamics of learning near singularities in radial basis function networks. 989-1005
• 
  J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Pinzolas, Miguel Almonacid: dNSP: A biologically inspired dynamic Neural network approach to Signal Processing. 1006-1019
• 
  Koichi Odajima, Yoichi Hayashi, Gong Tianxia, Rudy Setiono: Greedy rule generation from discrete data and its use in neural network rule extraction. 1020-1028
• 
  Nadia Mammone, Francesco Carlo Morabito: Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy. 1029-1040
• 
  Sébastien Hélie: Energy minimization in the nonlinear dynamic recurrent associative memory. 1041-1044

Volume 21, Number 8, October 2008

• 
  Jan G. Bjaalie, Sten Grillner, Shiro Usui: Neuroinformatics: Databases, tools, and computational modeling for studying the nervous system. 1045-1046
• 
  Tomoki Kazawa, Hidetoshi Ikeno, Ryohei Kanzaki: Development and application of a neuroinformatics environment for neuroscience and neuroethology. 1047-1055
• 
  Akira Sato, Yukiko Sekine, Chihiro Saruta, Hirozumi Nishibe, Noriyuki Morita, Yumi Sato, Tetsushi Sadakata, Yo Shinoda, Toshio Kojima, Teiichi Furuichi: Cerebellar development transcriptome database (CDT-DB): Profiling of spatio-temporal gene expression during the postnatal development of mouse cerebellum. 1056-1069
• 
  Andreas V. M. Herz, Ralph Meier, Martin P. Nawrot, Willi Schiegel, Tiziano Zito: G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics. 1070-1075
• 
  Martyn Fletcher, Bojian Liang, Leslie Smith, Alastair Knowles, Tom Jackson, Mark Jessop, Jim Austin: Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project. 1076-1084
• 
  Ralph Meier, Ulrich Egert, Ad Aertsen, Martin P. Nawrot: FIND - A unified framework for neural data analysis. 1085-1093
• 
  Jie Cui, Lei Xu, Steven L. Bressler, Mingzhou Ding, Hualou Liang: BSMART: A Matlab/C. 1094-1104
• 
  Xiaoli Li, John G. R. Jefferys, John Fox, Xin Yao: Neuronal population oscillations of rat hippocampus during epileptic seizures. 1105-1111
• 
  Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Shinji Kakei, Lauren Sergio, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal: Variational Bayesian least squares: An application to brain-machine interface data. 1112-1131
• 
  Brad Aisa, Brian Mingus, Randy O'Reilly: The Emergent neural modeling system. 1146-1152
• 
  Ruggero Scorcioni, David J. Hamilton, Giorgio A. Ascoli: Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit. 1153-1163
• 
  Marc de Kamps, Volker Baier, Johannes Drever, Melanie Dietz, Lorenz Mösenlechner, Frank van der Velde: The state of MIIND. 1164-1181
• 
  Wentao Huang, Licheng Jiao, Jianhua Jia: Modeling contextual modulation in the primary visual cortex. 1182-1196
• 
  Kazuhiro Shimonomura, Tetsuya Yagi: Neuromorphic VLSI vision system for real-time texture segregation. 1197-1204
• 
  Antoine Naud, Shiro Usui: Exploration of a collection of documents in neuroscience and extraction of topics by clustering. 1205-1211

Volume 21, Number 9, November 2008

• 
  George Mengov, Henrik Egbert, Stefan Pulov, Kalin Georgiev: Emotional balances in experimental consumer choices. 1213-1219
• 
  Alexandra Laflamme-Sanders, Mu Zhu: LAGO on the unit sphere. 1220-1223
• 
  Yuichi Yamashita, Miki Takahasi, Tetsu Okumura, Maki Ikebuchi, Hiroko Yamada, Madoka Suzuki, Kazuo Okanoya, Jun Tani: Developmental learning of complex syntactical song in the Bengalese finch: A neural network model. 1224-1231
• 
  Liel Rubinsky, Nadav Raichman, Jacob Lavee, Hanan Frenk, Eshel Ben-Jacob: Spatio-temporal motifs 'remembered' in neuronal networks following profound hypothermia. 1232-1237
• 
  Konrad Schindler, Luc J. Van Gool, Béatrice de Gelder: Recognizing emotions expressed by body pose: A biologically inspired neural model. 1238-1246
• 
  Kay Henning Brodersen, William D. Penny, Lee M. Harrison, Jean Daunizeau, Christian C. Ruff, Emrah Düzel, Karl J. Friston, Klaas E. Stephan: Integrated Bayesian models of learning and decision making for saccadic eye movements. 1247-1260
• 
  Joaquín J. Torres, Joaquín Marro, Jesús M. Cortés, B. Wemmenhove: Instabilities in attractor networks with fast synaptic fluctuations and partial updating of the neurons activity. 1272-1277
• 
  Masashi Sugiyama, Neil Rubens: A batch ensemble approach to active learning with model selection. 1278-1286
• 
  Habiboulaye Amadou Boubacar, Stéphane Lecoeuche, Salah Maouche: SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering. 1287-1301
• 
  Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre: Data classification with multilayer perceptrons using a generalized error function. 1302-1310
• 
  Leila Ait Gougam, Mouloud Tribeche, Fawzia Mekideche-Chafa: A systematic investigation of a neural network for function approximation. 1311-1317
• 
  Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin: 2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. 1318-1327
• 
  Ralph Linsker: Neural network learning of optimal Kalman prediction and control. 1328-1343
• 
  Nicolás García-Pedrajas, Domingo Ortiz-Boyer: Boosting random subspace method. 1344-1362
• 
  Fernanda L. Minku, Teresa Bernarda Ludermir: Clustering and co-evolution to construct neural network ensembles: An experimental study. 1363-1379
• 
  Narayan Srinivasa, Stephen Grossberg: A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model. 1380-1391
• 
  Lin Wu, Pierre Baldi: Learning to play Go using recursive neural networks. 1392-1400
• 
  Sunho Park, Seungjin Choi: A constrained sequential EM algorithm for speech enhancement. 1401-1409
• 
  Elif Derya Übeyli: Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals. 1410-1417
• 
  Eiji Mizutani, Stuart E. Dreyfus: Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203]. 1418

Volume 21, Number 10, December 2008

• 
  Masumi Ishikawa, Kenji Doya: Mini-special issue: ICONIP 2007. 1419
• 
  Sungmoon Jeong, Sang-Woo Ban, Minho Lee: Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment. 1420-1430
• 
  Hirotsugu Okuno, Tetsuya Yagi: A visually guided collision warning system with a neuromorphic architecture. 1431-1438
• 
  Hee-Sang Ko, Kwang Y. Lee, Min-Jae Kang, Ho-Chan Kim: Power quality control of an autonomous wind-diesel power system based on hybrid intelligent controller. 1439-1446
• 
  Eiji Uchibe, Kenji Doya: Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. 1447-1455
• 
  Liang Hu, Huijun Gao, Wei Xing Zheng: Novel stability of cellular neural networks with interval time-varying delay. 1458-1463
• 
  Wei Wu, Dong Nan, Jinling Long, Yu-mei Ma: A comment on "Relaxed conditions for radial-basis function networks to be universal approximators". 1464-1465
• 
  Jun Namikawa, Jun Tani: A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance. 1466-1475
• 
  Joshua P. Salmon, Thomas P. Trappenberg: Modeling the integration of expectations in visual search with centre-surround neural fields. 1476-1492
• 
  Patryk A. Laurent: The emergence of saliency and novelty responses from Reinforcement Learning principles. 1493-1499
• 
  Wlodzislaw Duch, Pawel Matykiewicz, John Pestian: Neurolinguistic approach to natural language processing with applications to medical text analysis. 1500-1510
• 
  Willem Waegeman, Bernard De Baets, Luc Boullart: Learning layered ranking functions with structured support vector machines. 1511-1523
• 
  Simone Fiori: Lie-group-type neural system learning by manifold retractions. 1524-1529
• 
  Filip Piekniewski, Tomasz Schreiber: Spontaneous scale-free structure of spike flow graphs in recurrent neural networks. 1530-1536
• 
  Shen Furao, Osamu Hasegawa: A fast nearest neighbor classifier based on self-organizing incremental neural network. 1537-1547
• 
  Yongping Zhao, Jianguo Sun: Robust support vector regression in the primal. 1548-1555
• 
  Meng Joo Er, Yi Zhou: Automatic generation of fuzzy inference systems via unsupervised learning. 1556-1566