Neurocomputing, Volume 70

Volume 70, Numbers 1-3, December 2006

Neural Networks - Selected Papers from the 7th Brazilian Symposium on Neural Networks (SBRN '04), 7th Brazilian Symposium on Neural Networks

• 
  Aluízio F. R. Araújo, André Carlos Ponce de Leon Ferreira de Carvalho:
  The Brazilian Symposium on Neural Networks (SBRN'04). 1-2
• 
  Marilene de Pinho, Marcelo B. Mazza, Antônio Carlos Roque-da-Silva:
  A computational model of the primary auditory cortex exhibiting plasticity in the frequency representation. 3-8
• 
  Allan Kardec Barros, José Carlos Príncipe, Yoshinori Takeuchi, Noboru Ohnishi:
  Using non-linear even functions for error minimization in adaptive filters. 9-13
• 
  Murilo Saraiva de Queiroz, Roberto Coelho de Berrêdo, Antônio de Pádua Braga:
  Reinforcement learning of a simple control task using the spike response model. 14-20
• 
  Arthur Plínio de S. Braga, Aluízio F. R. Araújo:
  Influence zones: A strategy to enhance reinforcement learning. 21-34
• 
  Pedro Paulo Balbi de Oliveira, José C. Bortot, Gina M. B. Oliveira:
  The best currently known class of dynamically equivalent cellular automata rules for density classification. 35-43
• 
  Renato Tinós, André Carlos Ponce de Leon Ferreira de Carvalho:
  Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. 44-54
• 
  Osmar de Araújo Dourado Júnior, Adrião Duarte Dória Neto, Wilson da Mata:
  Determination of multiple direction of arrival in antennas arrays with radial basis functions. 55-61
• 
  Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
  Improving self-organization of document collections by semantic mapping. 62-69
• 
  Haroldo G. Santos, Luiz Satoru Ochi, E. H. Marinho, Lúcia M. A. Drummond:
  Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem. 70-77

Regular papers

• 
  Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
  Detecting novelties in time series through neural networks forecasting with robust confidence intervals. 79-92
• 
  Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiuju Fu, H. P. Lee:
  Developing parallel sequential minimal optimization for fast training support vector machine. 93-104
• 
  K. Shanti Swarup, G. Sudhakar:
  Neural network approach to contingency screening and ranking in power systems. 105-118
• 
  K. Shanti Swarup, P. V. Simi:
  Neural computation using discrete and continuous Hopfield networks for power system economic dispatch and unit commitment. 119-129
• 
  Chien-Min Ou, Wen-Jyi Hwang, Wen-Wei Hu, Tsung-Yan Lo:
  Concurrent genetic optimization for joint design of source and channel codes. 130-138
• 
  Djamel Benaouda, Fionn Murtagh, Jean-Luc Starck, Olivier Renaud:
  Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting. 139-154
• 
  Minh Ha Nguyen, Hussein A. Abbass, Robert I. McKay:
  A novel mixture of experts model based on cooperative coevolution. 155-163
• 
  Zhaohui Yuan, Lifen Yuan, Lihong Huang:
  Dynamics of periodic Cohen-Grossberg neural networks with varying delays. 164-172
• 
  Shawkat Ali, Kate Amanda Smith-Miles:
  A meta-learning approach to automatic kernel selection for support vector machines. 173-186
• 
  Kyung-Joong Kim, Sung-Bae Cho:
  Ensemble classifiers based on correlation analysis for DNA microarray classification. 187-199
• 
  Maxime Ambard, Dominique Martinez:
  Inhibitory control of spike timing precision. 200-205
• 
  Liangsuo Ma, Ah Chung Tsoi:
  Balanced parameterization of multichannel blind deconvolutive systems: A continuous time realization. 206-218
• 
  Shaofen Zou, Lihong Huang, Yuming Chen:
  Linear stability and Hopf bifurcation in a three-unit neural network with two delays. 219-228
• 
  Hyung-Min Park, Sang-Hoon Oh, Soo-Young Lee:
  A modified infomax algorithm for blind signal separation. 229-240
• 
  Hsuan-Ming Feng:
  Self-generation RBFNs using evolutional PSO learning. 241-251
• 
  Anton V. Chizhov, Lyle J. Graham, Andrey A. Turbin:
  Simulation of neural population dynamics with a refractory density approach and a conductance-based threshold neuron model. 252-262
• 
  Xiao-mei Pei, Chongxun Zheng, Wei-xing He, Jin Xu:
  Quantitative measure of complexity of the dynamic event-related EEG data. 263-272
• 
  Xuyang Lou, Baotong Cui:
  On the global robust asymptotic stability of BAM neural networks with time-varying delays. 273-279
• 
  Jian Shi, Xinggao Liu, Youxian Sun:
  Melt index prediction by neural networks based on independent component analysis and multi-scale analysis. 280-287
• 
  Yuangang Tang, Fuchun Sun, Zengqi Sun:
  Neural network control of flexible-link manipulators using sliding mode. 288-295
• 
  Elif Derya Übeyli, Inan Güler:
  Adaptive neuro-fuzzy inference system to compute quasi-TEM characteristic parameters of microshield lines with practical cavity sidewall profiles. 296-304
• 
  Yuehui Chen, Ajith Abraham, Bo Yang:
  Feature selection and classification using flexible neural tree. 305-313
• 
  Yurong Liu, Zidong Wang, Xiaohui Liu:
  On global exponential stability of generalized stochastic neural networks with mixed time-delays. 314-326
• 
  Jens P. Eberhard, Alexander Wanner, Gabriel Wittum:
  NeuGen: A tool for the generation of realistic morphology of cortical neurons and neural networks in 3D. 327-342
• 
  Haijun Jiang, Jinde Cao:
  Global exponential stability of periodic neural networks with time-varying delays. 343-350
• 
  Leonardo Franco:
  Generalization ability of Boolean functions implemented in feedforward neural networks. 351-361
• 
  Jian Cheng Lv, Zhang Yi, Kok Kiong Tan:
  Convergence analysis of Xu's LMSER learning algorithm via deterministic discrete time system method. 362-372
• 
  Dik Kin Wong, E. Timothy Uy, Marcos Perreau Guimaraes, Wayne Yang, Patrick Suppes:
  Interpretation of perceptron weights as constructed time series for EEG classification. 373-383
• 
  Eduardo R. Hruschka, Nelson F. F. Ebecken:
  Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach. 384-397
• 
  Edmondo Trentin, Marco Gori:
  Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer. 398-408
• 
  Zeke S. H. Chan, H. W. Ngan, Ahmad B. Rad, A. K. David, Nikola K. Kasabov:
  Short-term ANN load forecasting from limited data using generalization learning strategies. 409-419
• 
  Danian Zheng, Jiaxin Wang, Yannan Zhao:
  Non-flat function estimation with a multi-scale support vector regression. 420-429
• 
  Wen Yu:
  Multiple recurrent neural networks for stable adaptive control. 430-444
• 
  Di Wang, Narendra S. Chaudhari:
  A fast modified constructive-covering algorithm for binary multi-layer neural networks. 445-461
• 
  Xunxian Wang, Sheng Chen, David Lowe, Chris J. Harris:
  Sparse support vector regression based on orthogonal forward selection for the generalised kernel model. 462-474
• 
  Sergio Bermejo:
  The regularized LVQ1 algorithm. 475-488
• 
  Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew:
  Extreme learning machine: Theory and applications. 489-501
• 
  Jiun-Chi Jan, Chih-Ming Chen, Liang-Hao Hsiao:
  Inverse training scheme for MS_CMAC neural network to handle random training data. 502-512
• 
  Yunong Zhang:
  A set of nonlinear equations and inequalities arising in robotics and its online solution via a primal neural network. 513-524
• 
  Changhua Yu, Michael T. Manry, Jiang Li, Pramod Lakshmi Narasimha:
  An efficient hidden layer training method for the multilayer perceptron. 525-535
• 
  Hongyong Zhao, Kunlun Wang:
  Dynamical behaviors of Cohen-Grossberg neural networks with delays and reaction-diffusion terms. 536-543
• 
  Jinhua Xu, Daniel W. C. Ho:
  A new training and pruning algorithm based on node dependence and Jacobian rank deficiency. 544-558
• 
  Chia-Feng Juang, Shui-Tien Huang, Fun-Bin Duh:
  Mold temperature control of a rubber injection-molding machine by TSK-type recurrent neural fuzzy network. 559-567
• 
  Xiangyu Kong, Chongzhao Han, Ruixuan Wei:
  Modified gradient algorithm for total least square filtering. 568-576
• 
  István Szita, András Lörincz:
  PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities. 577-591

Letters

• 
  Ji-Xiang Du, De-Shuang Huang, Guo-Jun Zhang, Zengfu Wang:
  A novel full structure optimization algorithm for radial basis probabilistic neural networks. 592-596
• 
  Heng Liu, Jingqi Yan, David Zhang:
  Three-dimensional surface registration: A neural network strategy. 597-602
• 
  Anke Meyer-Bäse, Sergei S. Pilyugin:
  Stability analysis of an unsupervised neural network with feedforward and feedback dynamics. 603-606

Volume 70, Numbers 4-6, January 2007

Advanced Neurocomputing Theory and Methodology - Selected papers from the International Conference on Intelligent Computing 2005 (ICIC 2005), International Conference on Intelligent Computing 2005

• 
  De-Shuang Huang, Prashan Premaratne:
  Advanced Neurocomputing Theory and Methodology. 623-624
• 
  Huizhong Yang, Jiang Li, Feng Ding:
  A neural network learning algorithm of chemical process modeling based on the extended Kalman filter. 625-632
• 
  Yan Wang, Xiaoyue Feng, Yanxin Huang, Dongbing Pu, Wengang Zhou, Yanchun Liang, Chunguang Zhou:
  A novel quantum swarm evolutionary algorithm and its applications. 633-640
• 
  Zhihong Yao, Minrui Fei, Kang Li, Hainan Kong, Bo Zhao:
  Recognition of blue-green algae in lakes using distributive genetic algorithm-based neural networks. 641-647
• 
  Mi Young Nam, Md. Rezaul Bashar, Phill-Kyu Rhee:
  Adaptive feature representation for robust face recognition using context-aware approach. 648-656
• 
  Jae-Soo Cho, Byoung-Ju Yun, Yun-Ho Ko:
  Intelligent video tracking based on fuzzy-reasoning segmentation. 657-664
• 
  Yanfang Han, Pengfei Shi:
  An improved ant colony algorithm for fuzzy clustering in image segmentation. 665-671
• 
  Yu Liu, Zheng Qin, Zhewen Shi, Jiang Lu:
  Center particle swarm optimization. 672-679
• 
  Ying Li, Yuanchun Li:
  Neural-fuzzy control of truck backer-upper system using a clustering method. 680-688
• 
  Yang Weon Lee:
  Neural solution to the target intercept problems in a gun fire control system. 689-696
• 
  Yuehui Chen, Bo Yang, Ajith Abraham:
  Flexible neural trees ensemble for stock index modeling. 697-703
• 
  Vassilis S. Kodogiannis, Maria Boulougoura, John N. Lygouras, Ilias Petrounias:
  A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic images. 704-717
• 
  Ran Bi, Yanhong Zhou, Feng Lu, Weiqiang Wang:
  Predicting Gene Ontology functions based on support vector machines and statistical significance estimation. 718-725
• 
  Weibei Dou, Yuan Ren, Qian Wu, Su Ruan, Yanping Chen, Daniel Bloyet, Jean-Marc Constans:
  Fuzzy kappa for the agreement measure of fuzzy classifications. 726-734
• 
  Wangmeng Zuo, Kuanquan Wang, David Zhang, Hongzhi Zhang:
  Combination of two novel LDA-based methods for face recognition. 735-742
• 
  Li Yu, Kuanquan Wang, David Zhang:
  Extracting the autonomic nerve wreath of iris based on an improved snake approach. 743-748
• 
  Jiaju Zheng, Shuying Cao, Hongli Wang, Wenmei Huang:
  Hybrid genetic algorithms for parameter identification of a hysteresis model of magnetostrictive actuators. 749-761
• 
  Kang Li, Jian Xun Peng:
  Neural input selection - A fast model-based approach. 762-769
• 
  Xiaogang Ruan, Mingxiao Ding, Daoxiong Gong, Junfei Qiao:
  On-line adaptive control for inverted pendulum balancing based on feedback-error-learning. 770-776
• 
  Weisheng Dong, Guangming Shi, Li Zhang:
  Immune memory clonal selection algorithms for designing stack filters. 777-784
• 
  Rui Nian, Guangrong Ji, Wencang Zhao, Chen Feng:
  Probabilistic 3D object recognition from 2D invariant view sequence based on similarity. 785-793
• 
  Zhong Jin, Zhen Lou, Jing-Yu Yang, Quan-Sen Sun:
  Face detection using template matching and skin-color information. 794-800
• 
  Jigang Wang, Predrag Neskovic, Leon N. Cooper:
  Bayes classification based on minimum bounding spheres. 801-808
• 
  Zhonghui Feng, Bing Zhou, Junyi Shen:
  A parallel hierarchical clustering algorithm for PCs cluster system. 809-818
• 
  Patrick J. Connally, Kang Li, George W. Irwin:
  Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme. 819-827
• 
  Xiaojun Wu, Jieping Lu, Jing-Yu Yang, Shitong Wang, Josef Kittler:
  An extreme case of the generalized optimal discriminant transformation and its application to face recognition. 828-834
• 
  Hong-Nan Li, Hao Yang:
  System identification of dynamic structure by the multi-branch BPNN. 835-841
• 
  Xiaoxun Zhang, Yunde Jia:
  Symmetrical null space LDA for face and ear recognition. 842-848
• 
  Jia Jia, Lianhong Cai, Pinyan Lu, Xuhui Liu:
  Fingerprint matching based on weighting method and the SVM. 849-858
• 
  Shengfeng Tian, Shaomin Mu, Chuanhuan Yin:
  Sequence-similarity kernels for SVMs to detect anomalies in system calls. 859-866
• 
  Yumin Zhang, Lei Guo, Haisheng Yu, Keyou Zhao:
  Fault tolerant control based on stochastic distributions via MLP neural networks. 867-874
• 
  Jian Ye, Junfei Qiao, Ming-Ai Li, Xiaogang Ruan:
  A tabu based neural network learning algorithm. 875-882
• 
  Shujun Fu, Qiuqi Ruan, Wenqia Wang, Fuzheng Gao, Heng-Da Cheng:
  A feature-dependent fuzzy bidirectional flow for adaptive image sharpening. 883-895
• 
  Ji-Xiang Du, De-Shuang Huang, Xiaofeng Wang, Xiao Gu:
  Shape recognition based on neural networks trained by differential evolution algorithm. 896-903
• 
  Congde Lu, Chunmei Zhang, Taiyi Zhang, Wei Zhang:
  Kernel based symmetrical principal component analysis for face classification. 904-911
• 
  Sibao Chen, Haifeng Zhao, Min Kong, Bin Luo:
  2D-LPP: A two-dimensional extension of locality preserving projections. 912-921
• 
  Jun Zhou, Guangda Su, Chunhong Jiang, Yafeng Deng, Congcong Li:
  A face and fingerprint identity authentication system based on multi-route detection. 922-931
• 
  Yan-Sheng Yang, Xiao-Feng Wang:
  Adaptive H_infinity tracking control for a class of uncertain nonlinear systems using radial-basis-function neural networks. 932-941
• 
  Vincent C. S. Lee, Hsiao Tshung Wong:
  A multivariate neuro-fuzzy system for foreign currency risk management decision making. 942-951
• 
  Hui Wang, Daoying Pi, Youxian Sun:
  Online SVM regression algorithm-based adaptive inverse control. 952-959

Regular papers

• 
  Jeongho Cho, José C. Príncipe, Deniz Erdogmus, Mark A. Motter:
  Quasi-sliding mode control strategy based on multiple-linear models. 960-974
• 
  Simon M. Stringer, Edmund T. Rolls:
  Hierarchical dynamical models of motor function. 975-990
• 
  Pradeep Arkachar, Meghanad D. Wagh:
  Criticality of lateral inhibition for edge enhancement in neural systems. 991-999
• 
  Richard T. Gray, Peter A. Robinson:
  Stability and spectra of randomly connected excitatory cortical networks. 1000-1012
• 
  Paulo Henrique Siqueira, Maria Teresinha Arns Steiner, Sérgio Scheer:
  A new approach to solve the traveling salesman problem. 1013-1021
• 
  Hema Chandrasekaran, Jiang Li, Walter H. Delashmit, Pramod Lakshmi Narasimha, Changhua Yu, Michael T. Manry:
  Convergent design of piecewise linear neural networks. 1022-1039
• 
  Tommy W. S. Chow, M. K. M. Rahman:
  A new image classification technique using tree-structured regional features. 1040-1050

Letters

• 
  Fei Chen, Yuan-Ting Zhang:
  An integrate-and-fire-based auditory nerve model and its response to high-rate pulse train. 1051-1055
• 
  Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Zhong Jing, Miao Li:
  A method for speeding up feature extraction based on KPCA. 1056-1061
• 
  Jing Zhou, Meng Joo Er, Jacek M. Zurada:
  Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities. 1062-1070
• 
  Xuyang Lou, Baotong Cui:
  Passivity analysis of integro-differential neural networks with time-varying delays. 1071-1078
• 
  Richard Stafford, F. Claire Rind:
  Data mining neural spike trains for the identification of behavioural triggers using evolutionary algorithms. 1079-1084
• 
  Wei Wu, Baotong Cui, Xuyang Lou:
  Some criteria for asymptotic stability of Cohen-Grossberg neural networks with time-varying delays. 1085-1088
• 
  Ángel Navia-Vázquez:
  Support vector perceptrons. 1089-1095
• 
  Lifeng Shang, Zhang Yi:
  A class of binary images thinning using two PCNNs. 1096-1101
• 
  Jianlong Qiu:
  Exponential stability of impulsive neural networks with time-varying delays and reaction-diffusion terms. 1102-1108

Volume 70, Numbers 7-9, March 2007

Advances in Computational Intelligence and Learning - 14th European Symposium on Artificial Neural Networks 2006, 14th European Symposium on Artificial Neural Networks 2006

• 
  Michael Biehl, Erzsébet Merényi, Fabrice Rossi:
  Advances in computational intelligence and learning. 1117-1119
• 
  Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
  Displaced strategies optimize connectivity in neocortical networks. 1121-1129
• 
  Nicholas Butko, Jochen Triesch:
  Learning sensory representations with intrinsic plasticity. 1130-1138
• 
  Leena N. Patel, Alan F. Murray, John Hallam:
  Super-lampreys and wave energy: Optimised control of artificially-evolved, simulated swimming lamprey. 1139-1154
• 
  Nicolás García-Pedrajas, Colin Fyfe:
  Immune network based ensembles. 1155-1166
• 
  Nigel T. Crook:
  Nonlinear transient computation. 1167-1176
• 
  Carlos Lourenço:
  Dynamical computation reservoir emerging within a biological model network. 1177-1185
• 
  Bernard Girau, César Torres-Huitzil:
  Massively distributed digital implementation of an integrate-and-fire LEGION network for visual scene segmentation. 1186-1197
• 
  Tong Boon Tang, Alan F. Murray:
  Adaptive sensor modelling and classification using a continuous restricted Boltzmann machine (CRBM). 1198-1206
• 
  Frédéric Vrins, Dinh-Tuan Pham:
  Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties. 1207-1214
• 
  Frank-Michael Schleif, Barbara Hammer, Thomas Villmann:
  Margin-based active learning for LVQ networks. 1215-1224
• 
  Barbara Hammer, Alexander Hasenfuss, Thomas Villmann:
  Magnification control for batch neural gas. 1225-1234
• 
  Jochen J. Steil, Michael Götting, Heiko Wersing, Edgar Körner, Helge J. Ritter:
  Adaptive scene dependent filters for segmentation and online learning of visual objects. 1235-1246
• 
  Benjamin Schrauwen, Jan Van Campenhout:
  Linking non-binned spike train kernels to several existing spike train metrics. 1247-1253
• 
  Sándor Szedmák, John Shawe-Taylor:
  Synthesis of maximum margin and multiview learning using unlabeled data. 1254-1264
• 
  Geoffroy Simon, Michel Verleysen:
  High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria. 1265-1275
• 
  Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen:
  Resampling methods for parameter-free and robust feature selection with mutual information. 1276-1288
• 
  Stefan Klanke, Helge J. Ritter:
  Variants of unsupervised kernel regression: General cost functions. 1289-1303
• 
  Michaël Aupetit:
  Visualizing distortions and recovering topology in continuous projection techniques. 1304-1330

Regular papers

• 
  F. Liu, Geok See Ng, Chai Quek:
  RLDDE: A novel reinforcement learning-based dimension and delay estimator for neural networks in time series prediction. 1331-1341
• 
  Marcelo Azevedo Costa, Antônio de Pádua Braga, Benjamin Rodrigues de Menezes:
  Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm. 1342-1347
• 
  Shitong Wang, Korris Fu-Lai Chung, Duan Fu:
  Applying the improved fuzzy cellular neural network IFCNN to white blood cell detection. 1348-1359
• 
  Yusuke Manabe, Basabi Chakraborty:
  A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network. 1360-1371
• 
  Jong-Hoon Ahn, Jong-Hoon Oh, Seungjin Choi:
  Learning principal directions: Integrated-squared-error minimization. 1372-1381
• 
  Weirui Zhao, Huanshui Zhang, Shulan Kong:
  An analysis of global exponential stability of bidirectional associative memory neural networks with constant time delays. 1382-1389
• 
  Vassilis Cutsuridis, Ioannis Kahramanoglou, Nikolaos Smyrnis, Ioannis Evdokimidis, Stavros J. Perantonis:
  A biophysical neural accumulator model of decision making in an antisaccade task. 1390-1402
• 
  Witold Pedrycz:
  Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes. 1403-1413
• 
  Gülay Büyükaksoy Kaplan, Neslihan Serap Sengör, Hakan Gürvit, Cüneyt Güzelis:
  Modelling the Stroop effect: A connectionist approach. 1414-1423
• 
  Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis:
  Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. 1424-1438
• 
  Juan Ignacio Mulero Martínez:
  Functions bandlimited in frequency are free of the curse of dimensionality. 1439-1452
• 
  Juan Ignacio Mulero Martínez:
  Bandwidth of mechanical systems and design of emulators with RBF. 1453-1465
• 
  Larry M. Manevitz, Malik Yousef:
  One-class document classification via Neural Networks. 1466-1481
• 
  Xi Shen, Philippe De Wilde:
  Long-term neuronal behavior caused by two synaptic modification mechanisms. 1482-1488
• 
  Alain Rakotomamonjy:
  Analysis of SVM regression bounds for variable ranking. 1489-1501
• 
  Heeyoul Choi, Seungjin Choi:
  A relative trust-region algorithm for independent component analysis. 1502-1510
• 
  Manish Mangal, Manu Pratap Singh:
  Analysis of pattern classification for the multidimensional parity-bit-checking problem with hybrid evolutionary feed-forward neural network. 1511-1524
• 
  Thanasis G. Barbounis, John B. Theocharis:
  A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation. 1525-1542

Letters

• 
  Lei Zhu, Shanan Zhu:
  Face recognition based on orthogonal discriminant locality preserving projections. 1543-1546
• 
  Tianhao Zhang, Jie Yang, Deli Zhao, Xinliang Ge:
  Linear local tangent space alignment and application to face recognition. 1547-1553
• 
  Lei Wang, Shixin Sun, Kai Zhang:
  A fast approximate algorithm for training L₁-SVMs in primal space. 1554-1560
• 
  Guisong Liu, Zhang Yi, Shangming Yang:
  A hierarchical intrusion detection model based on the PCA neural networks. 1561-1568
• 
  András Lörincz, Zoltán Szabó:
  Neurally plausible, non-combinatorial iterative independent process analysis. 1569-1573
• 
  Zhenwei Shi, Changshui Zhang:
  Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation. 1574-1581
• 
  Yong-Fang Yao, Xiao-Yuan Jing, Hau-San Wong:
  Face and palmprint feature level fusion for single sample biometrics recognition. 1582-1586

Volume 70, Numbers 10-12, June 2007

Computational Neuroscience: Trends in Research 2007, Computational Neuroscience 2006

• 
  William Holmes:
  Computational Neuroscience: Trends in Research 2007. 1595-1596

Cellular and synaptic mechanisms

• 
  Romain Brette, Zuzanna Piwkowska, Michelle Rudolph, Thierry Bal, Alain Destexhe:
  A non-parametric electrode model for intracellular recording. 1597-1601
• 
  Martin Pospischil, Zuzanna Piwkowska, Michelle Rudolph, Thierry Bal, Alain Destexhe:
  Inhibitory conductance dynamics in cortical neurons during activated states. 1602-1604
• 
  Darrell Haufler, F. Morin, J. C. Lacaille, Frances K. Skinner:
  Parameter estimation in single-compartment neuron models using a synchronization-based method. 1605-1610
• 
  Fabiano Baroni, Pablo Varona:
  Subthreshold oscillations and neuronal input-output relationships. 1611-1614
• 
  Ebba Samuelsson, Jeanette Hellgren Kotaleski:
  Exploring GABAergic and dopaminergic effects in a minimal model of a medium spiny projection neuron. 1615-1618
• 
  Richard Robertson, Kerstin M. L. Menne:
  Depolarizing, GABA-mediated synaptic responses and their possible role in epileptiform events; Simulation studies. 1619-1625
• 
  Matthias H. Hennig, Michael Postlethwaite, Ian D. Forsythe, Bruce P. Graham:
  A biophysical model of short-term plasticity at the calyx of Held. 1626-1629
• 
  Erik Fransén:
  Neural response profile design: Reducing epileptogenic activity by modifying neuron responses to synchronized input using novel potassium channels obtained by parameter search optimization. 1630-1634
• 
  Danielle Morel, William B. Levy:
  Persistent sodium is a better linearizing mechanism than the hyperpolarization-activated current. 1635-1639
• 
  Kyriaki Sidiropoulou, Marian Joëls, Panayiota Poirazi:
  Modeling stress-induced adaptations in Ca²⁺ dynamics. 1640-1644
• 
  Jutta Kretzberg, Friedrich Kretschmer, Antonia Marin-Burgin:
  Effects of multiple spike-initiation zones in touch sensory cells of the leech. 1645-1651
• 
  Patrick Crotty, William B. Levy:
  Effects of Na⁺ channel inactivation kinetics on metabolic energy costs of action potentials. 1652-1656
• 
  Yili Zhang, Jorge Golowasch:
  Modeling recovery of rhythmic activity: Hypothesis for the role of a calcium pump. 1657-1662
• 
  Fábio M. Simões-de-Souza, Gabriela Antunes:
  Investigating the properties of adaptation in a computational model of the olfactory sensory neuron. 1663-1667
• 
  Claudia Clopath, Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner:
  Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments. 1668-1673
• 
  William G. Gibson, Les Farnell, Max R. Bennett:
  A computational model relating changes in cerebral blood volume to synaptic activity in neurons. 1674-1679
• 
  Gideon Gradwohl, Yoram Grossman:
  Excitatory and inhibitory synaptic inputs are modulated by the spatial distribution of dendritic voltage-dependent channels: Modelling in realistic alpha-motoneuron. 1680-1684
• 
  Ovidiu D. Iancu, Jianmei Zhang, Patrick D. Roberts, Curtis C. Bell:
  Postsynaptic modulation of electrical EPSP size investigated using a compartmental model. 1685-1688
• 
  Maria Bykhovskaia:
  Recruitment of presynaptic vesicles and facilitation of transmitter release. 1689-1694
• 
  Ketan Bajaj, Basabi Bhaumik:
  Adaptation-induced suppression and facilitation: Effect of intra- and extracellular ionic disturbances. 1695-1701
• 
  Christo Panchev:
  Computing with active dendrites. 1702-1705

Information coding

• 
  Hecke Schrobsdorff, J. Michael Herrmann, Theo Geisel:
  A feature-binding model with localized excitations. 1706-1710
• 
  Rüdiger Kupper, Andreas Knoblauch, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körner:
  Simulations of signal flow in a functional model of the cortical column. 1711-1716
• 
  Martin P. Nawrot, Clemens Boucsein, Victor Rodriguez-Molina, Ad Aertsen, Sonja Grün, Stefan Rotter:
  Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro. 1717-1722
• 
  Erick Chastain, Yanxi Liu:
  Quantified symmetry for entorhinal spatial maps. 1723-1727
• 
  Karim G. Oweiss, Rong Jin, Yasir Suhail:
  Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering. 1728-1734
• 
  Eleftheria Kyriaki Pissadaki, Panayiota Poirazi:
  Modulation of excitability in CA1 pyramidal neurons via the interplay of entorhinal cortex and CA3 inputs. 1735-1740
• 
  Bálint Takács, András Lörincz:
  Simple conditions for forming triangular grids. 1741-1747
• 
  Yutaka Sakaguchi, Shiro Ikeda:
  Motor planning and sparse motor command representation. 1748-1752
• 
  Estee Stern, Timothy J. Fort, Mark W. Miller, Charles S. Peskin, Vladimir Brezina:
  Decoding modulation of the neuromuscular transform. 1753-1758
• 
  Lubomir Kostal, Petr Lánský, Jean-Pierre Rospars:
  Encoding of pheromone intensity by dynamic activation of pheromone receptors. 1759-1763
• 
  Aurel A. Lazar:
  Information representation with an ensemble of Hodgkin-Huxley neurons. 1764-1771
• 
  Alexander G. Dimitrov, Rony Azouz, Lital Israeli:
  Effects of stimulus transformations on estimated functional properties of mechanosensory neurons. 1772-1776
• 
  Marcelo A. Montemurro, Riccardo Senatore, Stefano Panzeri:
  A downward biased estimator of spike timing information. 1777-1781
• 
  Fernando Montani, Adam Kohn, Matthew A. Smith, Simon R. Schultz:
  How do stimulus-dependent correlations between V1 neurons affect neural coding? 1782-1787
• 
  Luis Fernando Lago-Fernández:
  Spike alignment in bursting neurons. 1788-1791
• 
  Doris Campos, Carlos Aguirre, Eduardo Serrano, Francisco de Borja Rodríguez Ortiz, Gonzalo G. de Polavieja, Pablo Varona:
  Temporal structure in the bursting activity of the leech heartbeat CPG neurons. 1792-1796
• 
  Roberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona:
  Reaction to neural signatures through excitatory synapses in central pattern generator models. 1797-1801
• 
  Malin Sandström, Jeanette Hellgren Kotaleski, Anders Lansner:
  Scaling effects in a model of the olfactory bulb. 1802-1807
• 
  Mia Setic, Domagoj Svegar, Drazen Domijan:
  Modelling the statistical processing of visual information. 1808-1812
• 
  Yoshiki Kashimori, Yu Ichinose, Kazuhisa Fujita:
  A functional role of interaction between IT cortex and PF cortex in visual categorization task. 1813-1818
• 
  Kô Sakai, Shiori Katsumata:
  Simultaneous determination of depth and motion in early vision. 1819-1823
• 
  Marcel Stimberg, Thomas Hoch, Klaus Obermayer:
  The effect of background noise on the precision of pulse packet propagation in feed-forward networks. 1824-1828

Network properties

• 
  Marcus Kaiser, Claus C. Hilgetag:
  Development of multi-cluster cortical networks by time windows for spatial growth. 1829-1832
• 
  Nicole Voges, Ad Aertsen, Stefan Rotter:
  Statistical analysis of spatially embedded networks: From grid to random node positions. 1833-1837
• 
  Andreas Knoblauch, Rüdiger Kupper, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körner:
  A cell assembly based model for the cortical microcircuitry. 1838-1842
• 
  Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage, Ad Aertsen:
  Comparison of dynamical states of random networks with human EEG. 1843-1847
• 
  Eckehard Olbrich, Thomas Wennekers:
  Dynamics of parameters of neurophysiological models from phenomenological EEG modeling. 1848-1852
• 
  Yiu-Fai Sit, Risto Miikkulainen:
  A computational model of the signals in optical imaging with voltage-sensitive dyes. 1853-1857
• 
  Frances K. Skinner:
  Toward direct links between model networks and experimental data. 1858-1862
• 
  Vladimir Brezina:
  Functional penetration of variability of motor neuron spike timing through a modulated neuromuscular system. 1863-1869
• 
  Martin Ayling, Stefano Panzeri, Enrico Bracci:
  GABAergic excitation in striatal projection neurons: Simulations and experiments. 1870-1876
• 
  Anna Levina, Udo Ernst, J. Michael Herrmann:
  Criticality of avalanche dynamics in adaptive recurrent networks. 1877-1881
• 
  Mikael Huss, Martin Rehn:
  Tonically driven and self-sustaining activity in the lamprey hemicord: When can they co-exist? 1882-1886
• 
  Johannes Hjorth, Alex Hanna Elias, Jeanette Hellgren Kotaleski:
  The significance of gap junction location in striatal fast spiking interneurons. 1887-1891
• 
  Mark D. Humphries, Kevin N. Gurney:
  A means to an end: Validating models by fitting experimental data. 1892-1896
• 
  Tayfun Gürel, Luc De Raedt, Stefan Rotter:
  Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank. 1897-1901
• 
  Margarita Zachariou, Dilshani W. N. Dissanayake, Markus R. Owen, Robert Mason, Stephen Coombes:
  The role of cannabinoids in the neurobiology of sensory gating: A firing rate model study. 1902-1906
• 
  Michael Sfakiotakis, Dimitris P. Tsakiris:
  Neuromuscular control of reactive behaviors for undulatory robots. 1907-1913
• 
  Max Garagnani, Thomas Wennekers, Friedemann Pulvermüller:
  A neuronal model of the language cortex. 1914-1919
• 
  Haruka Nishimura, Kô Sakai:
  The direction of figure is determined by asymmetric surrounding suppression/facilitation. 1920-1924

System dynamics

• 
  Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphreys, Gustavo Deco:
  Suppressive effects in visual search: A neurocomputational analysis of preview search. 1925-1931
• 
  Tom Stafford, Stuart P. Wilson:
  Self-organisation can generate the discontinuities in the somatosensory map. 1932-1937
• 
  Lars Omlor, Martin A. Giese:
  Extraction of spatio-temporal primitives of emotional body expressions. 1938-1942
• 
  Alessandro Torcini, Stefano Luccioli, Thomas Kreuz:
  Coherent response of the Hodgkin-Huxley neuron in the high-input regime. 1943-1948
• 
  Srikanth Ramaswamy, Fabiano Baroni, Pablo Varona, Gonzalo G. de Polavieja:
  Time-scales in the interplay between calcium and voltage dynamics. 1949-1953
• 
  Carrie A. Williams, Stephen P. DeWeerth:
  Resonance tuning of a neuromechanical system with two negative sensory feedback configurations. 1954-1959
• 
  Rüdiger Zillmer, Roberto Livi, Antonio Politi, Alessandro Torcini:
  Desynchronized stable states in diluted neural networks. 1960-1965
• 
  Michelle Rudolph, Alain Destexhe:
  How much can we trust neural simulation strategies? 1966-1969
• 
  Thomas Kreuz, Stefano Luccioli, Alessandro Torcini:
  Coherence resonance due to correlated noise in neuronal models. 1970-1976
• 
  Drazen Domijan, Mia Setic, Domagoj Svegar:
  A model of the illusory contour formation based on dendritic computation. 1977-1982
• 
  Brett J. Graham, David P. M. Northmore:
  A spiking neural network model of midbrain visuomotor mechanisms that avoids objects by estimating size and distance monocularly. 1983-1987

Learning, memory and plasticity

• 
  Thomas Wennekers:
  A cell assembly model for complex behaviour. 1988-1992
• 
  Douglas A. Baxter, John H. Byrne:
  Short-term plasticity in a computational model of the tail-withdrawal circuit in Aplysia. 1993-1999
• 
  Federica Menghini, Nicola J. van Rijsbergen, Alessandro Treves:
  Modelling adaptation aftereffects in associative memory. 2000-2004
• 
  Bernd Porr, Tomas Kulvicius, Florentin Wörgötter:
  Improved stability and convergence with three factor learning. 2005-2008
• 
  Frédéric Henry, Emmanuel Daucé, Hédi Soula:
  Temporal pattern identification using spike-timing dependent plasticity. 2009-2016
• 
  Andreea Lazar, Raul Cristian Muresan, Ellen Städtler, Matthias H. J. Munk, Gordon Pipa:
  Importance of electrophysiological signal features assessed by classification trees. 2017-2021
• 
  Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen:
  Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation. 2022-2025
• 
  Jorge F. Mejías, Joaquín J. Torres:
  Improvement of spike coincidence detection with facilitating synapses. 2026-2029
• 
  Patrick D. Roberts, Roberto A. Santiago, Tarciso Velho, Claudio V. Mello:
  Storage of auditory temporal patterns in the songbird telencephalon. 2030-2034
• 
  Lubica Benuskova, Nikola K. Kasabov:
  Modeling L-LTP based on changes in concentration of pCREB transcription factor. 2035-2040
• 
  Jonathan D. Drover, Vahid Tohidi, Amitabha Bose, Farzan Nadim:
  Combining synaptic and cellular resonance in a feed-forward neuronal network. 2041-2045
• 
  Tomas Kulvicius, Bernd Porr, Florentin Wörgötter:
  Development of receptive fields in a closed-loop behavioural system. 2046-2049
• 
  Lian Zhou, Shunbing Zhao, Farzan Nadim:
  Neuromodulation of short-term synaptic dynamics examined in a mechanistic model based on kinetics of calcium currents. 2050-2054
• 
  Kazuhisa Ichikawa, Akemi Hoshino, Kunio Kato:
  Induction of synaptic depression by high-frequency stimulation in area CA1 of the rat hippocampus: Modeling and experimental studies. 2055-2059
• 
  Alessio Plebe:
  A model of angle selectivity development in visual area V2. 2060-2063

Synchronization and oscillation

• 
  Gordon Pipa, Alexa Riehle, Sonja Grün:
  Validation of task-related excess of spike coincidences based on NeuroXidence. 2064-2068
• 
  Jens Kremkow, Arvind Kumar, Stefan Rotter, Ad Aertsen:
  Emergence of population synchrony in a layered network of the cat visual cortex. 2069-2073
• 
  Ashlie B. Hocking, William B. Levy:
  Theta-modulated input reduces intrinsic gamma oscillations in a hippocampal model. 2074-2078
• 
  Thomas Voegtlin, Dominique Martinez:
  Effect of asynchronous GABA release on the oscillatory dynamics of inhibitory coupled neurons. 2079-2084
• 
  Ingo Bojak, David T. J. Liley:
  Self-organized 40Hz synchronization in a physiological theory of EEG. 2085-2090
• 
  Julia Berzhanskaya, Anatoli Gorchetchnikov, Steven J. Schiff:
  Switching between gamma and theta: Dynamic network control using subthreshold electric fields. 2091-2095
• 
  Michael Denker, Sébastien Roux, Marc Timme, Alexa Riehle, Sonja Grün:
  Phase synchronization between LFP and spiking activity in motor cortex during movement preparation. 2096-2101
• 
  Roberto Fdez. Galán, Bard Ermentrout, Nathaniel N. Urban:
  Reliability and stochastic synchronization in type I vs. type II neural oscillators. 2102-2106
• 
  Paul Channell Jr., Gennady S. Cymbalyuk, Andrey L. Shilnikov:
  Applications of the Poincaré mapping technique to analysis of neuronal dynamics. 2107-2111
• 
  Denise Berger, David J. Warren, Richard A. Normann, Amos Arieli, Sonja Grün:
  Spatially organized spike correlation in cat visual cortex. 2112-2116

Databases and software

• 
  Hugo Cornelis, Erik De Schutter:
  Neurospaces: Towards automated model partitioning for parallel computers. 2117-2121
• 
  Hidetoshi Ikeno, Takuto Nishioka, Takuya Hachida, Ryohei Kanzaki, Yoichi Seki, Izumi Ohzawa, Shiro Usui:
  Development and application of CMS-based database modules for neuroinformatics. 2122-2128

Volume 70, Numbers 13-15, August 2007

Selected papers from the 3rd International Conference on Development and Learning (ICDL 2004), 3rd International Conference on Development and Learning

• 
  Gedeon O. Deák, Marni Stewart Bartlett, Tony Jebara:
  New trends in Cognitive Science: Integrative approaches to learning and development. 2139-2147
• 
  Chen Yu, Dana H. Ballard:
  A unified model of early word learning: Integrating statistical and social cues. 2149-2165
• 
  Christof Teuscher, Jochen Triesch:
  To each his own: The caregiver's role in a computational model of gaze following. 2166-2180
• 
  Patricia Zukow-Goldring, Michael A. Arbib:
  Affordances, effectivities, and assisted imitation: Caregivers and the directing of attention. 2181-2193
• 
  Lindsay M. Oberman, Joseph P. McCleery, Vilayanur S. Ramachandran, Jaime A. Pineda:
  EEG evidence for mirror neuron activity during the observation of human and robot actions: Toward an analysis of the human qualities of interactive robots. 2194-2203
• 
  Marian Stewart Bartlett:
  Information maximization in face processing. 2204-2217
• 
  Jake V. Bouvrie, Pawan Sinha:
  Visual object concept discovery: Observations in congenitally blind children, and a computational approach. 2218-2233
• 
  Yuichiro Yoshikawa, Koh Hosoda, Minoru Asada:
  Unique association between self-occlusion and double-touching towards binding vision and touch. 2234-2244
• 
  Sejong Oh, Yoonsuck Choe:
  Segmentation of textures defined on flat vs. layered surfaces using neural networks: Comparison of 2D vs. 3D representations. 2245-2255
• 
  Jonathan D. Nelson, Garrison W. Cottrell:
  A probabilistic model of eye movements in concept formation. 2256-2272
• 
  Rutvik Desai:
  A model of Frame and Verb Compliance in language acquisition. 2273-2287
• 
  Peter Ford Dominey:
  Towards a construction-based framework for development of language, event perception and social cognition: Insights from grounded robotics and simulation. 2288-2302
• 
  Juyang Weng:
  On developmental mental architectures. 2303-2323

Special papers: Time series prediction competition: the CATS benchmark

• 
  Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen:
  Time series prediction competition: The CATS benchmark. 2325-2329
• 
  Simo Särkkä, Aki Vehtari, Jouko Lampinen:
  CATS benchmark time series prediction by Kalman smoother with cross-validated noise density. 2331-2341
• 
  Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, Donald C. Wunsch II:
  Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm. 2342-2353
• 
  Shuichi Kurogi, Miho Sawa, Takamasa Ueno:
  Time series prediction of the CATS benchmark using Fourier bandpass filters and competitive associative nets. 2354-2362
• 
  Pablo F. Verdes, Pablo M. Granitto, María I. Széliga, Alejandro Rébola, H. Alejandro Ceccatto:
  Symmetric-embedding prediction of the CATS benchmark. 2363-2370
• 
  Jörg D. Wichard, Maciej Ogorzalek:
  Time series prediction with ensemble models applied to the CATS benchmark. 2371-2378
• 
  Federico Palacios-González:
  TVCAR models for forecasting. 2379-2391
• 
  Xiao Hu, Danil V. Prokhorov, Donald C. Wunsch II:
  Time series prediction with a weighted bidirectional multi-stream extended Kalman filter. 2392-2399
• 
  Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen:
  Forecasting the CATS benchmark with the Double Vector Quantization method. 2400-2409
• 
  Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad, Ana Herrera:
  Multigrid-based fuzzy systems for time series prediction: CATS competition. 2410-2425
• 
  Igor Beliaev, Robert Kozma:
  Time series prediction using chaotic neural networks on the CATS benchmark. 2426-2439

Regular papers

• 
  Degang Chen, Qiang He, Xizhao Wang:
  On linear separability of data sets in feature space. 2441-2448
• 
  Xiaoping Xue, Wei Bian:
  A project neural network for solving degenerate convex quadratic program. 2449-2459
• 
  José de Jesús Rubio, Wen Yu:
  Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm. 2460-2466
• 
  Paolo Massobrio, Giuseppe Massobrio, Sergio Martinoia:
  Multi-program approach for simulating recorded extracellular signals generated by neurons coupled to microelectrode arrays. 2467-2476
• 
  Yonghui Sun, Jinde Cao, Zidong Wang:
  Exponential synchronization of stochastic perturbed chaotic delayed neural networks. 2477-2485
• 
  Huaguang Zhang, Gang Wang:
  New criteria of global exponential stability for a class of generalized neural networks with time-varying delays. 2486-2494
• 
  Yonghui Xia, Jinde Cao, Sui Sun Cheng:
  Global exponential stability of delayed cellular neural networks with impulses. 2495-2501
• 
  Cheng-Jian Lin, I-Fang Chung, Cheng-Hung Chen:
  An entropy-based quantum neuro-fuzzy inference system for classification applications. 2502-2516
• 
  Zhanji Gui, Xiao-Song Yang, Weigao Ge:
  Periodic solution for nonautonomous bidirectional associative memory neural networks with impulses. 2517-2527
• 
  Kazushi Ikeda, Takemasa Yamasaki:
  Incremental support vector machines and their geometrical analyses. 2528-2533
• 
  Zhanshan Wang, Huaguang Zhang, Wen Yu:
  Robust exponential stability analysis of neural networks with multiple time delays. 2534-2543
• 
  P. Thangavel, D. Gladis:
  Hysteretic Hopfield network with dynamic tunneling for crossbar switch and N-queens problem. 2544-2551
• 
  Cornelius Weber, Stefan Wermter:
  A self-organizing map of sigma-pi units. 2552-2560

Letters

• 
  Xiangdong Liu, Chunbo Xiu:
  A novel hysteretic chaotic neural network and its applications. 2561-2565
• 
  Xuyang Lou, Baotong Cui:
  Comments and further improvements on "New LMI conditions for delay-dependent asymptotic stability of delayed Hopfield neural networks". 2566-2571
• 
  Xipeng Qiu, Lide Wu:
  Two-dimensional nearest neighbor discriminant analysis. 2572-2575
• 
  Wangqiang Niu, Jing-Qi Yuan:
  Recurrent network simulations of two types of non-concentric retinal ganglion cells. 2576-2580
• 
  Xizhao Wang, Chunru Dong, Tie-Gang Fan:
  Training T-S norm neural networks to refine weights for fuzzy if-then rules. 2581-2587
• 
  Tatyana V. Bandos, Gustavo Camps-Valls, Emilio Soria-Olivas:
  Statistical criteria for early-stopping of support vector machines. 2588-2592
• 
  Grzegorz M. Wójcik, Wieslaw A. Kaminski:
  Liquid state machine and its separation ability as function of electrical parameters of cell. 2593-2597
• 
  Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung:
  Stability analysis of a discrete Hopfield neural network with delay. 2598-2602
• 
  Sancho Salcedo-Sanz, José Antonio Portilla-Figueras:
  Optimal solution to crossbar packet-switch problems using a sequential binary Hopfield neural network. 2603-2607

Volume 70, Numbers 16-18, October 2007

Neural Network Applications in Electrical Engineering

• 
  Ahmed F. Zobaa, Branimir Reljin:
  Neural Network Applications in Electrical Engineering. 2613-2614
• 
  Hung-Ching Lu, Jui-Chi Chang, Ming-Feng Yeh:
  Design and analysis of direct-action CMAC PID controller. 2615-2625
• 
  Ya-Fu Peng, Chih-Min Lin:
  Adaptive recurrent cerebellar model articulation controller for linear ultrasonic motor with optimal learning rates. 2626-2637
• 
  Ming-Feng Yeh:
  Single-input CMAC control system. 2638-2644
• 
  Rajendra Singh, Laxmi Srivastava:
  Line flow contingency selection and ranking using cascade neural network. 2645-2650
• 
  José Castro Mora, José M. Calero Barón, Jesús Manuel Riquelme-Santos, Manuel Burgos Payán:
  An evolutive algorithm for wind farm optimal design. 2651-2658
• 
  M. Ulagammai, P. Venkatesh, P. S. Kannan, Narayana Prasad Padhy:
  Application of bacterial foraging technique trained artificial and wavelet neural networks in load forecasting. 2659-2667
• 
  Alberto Del Angel, Pierre Geurts, Damien Ernst, Mevludin Glavic, Louis Wehenkel:
  Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. 2668-2678
• 
  Pedro Cruz, Jesús Manuel Riquelme-Santos, Antonio de la Villa Jaen, José L. Martínez:
  Ga-based passive loop optimization for magnetic field mitigation of transmission lines. 2679-2686
• 
  Ademir Nied, Seleme I. Seleme Jr., Gustavo Guimarães Parma, Benjamin Rodrigues de Menezes:
  On-line neural training algorithm with sliding mode control and adaptive learning rate. 2687-2691
• 
  Alejandro Linares-Barranco, Matthias Oster, D. Cascado, Gabriel Jiménez, Antón Civit, Bernabé Linares-Barranco:
  Inter-spike-intervals analysis of AER Poisson-like generator hardware. 2692-2700

Special papers: Selected papers from the 8th International Work-Conference on Artificial Neural Networks (IWANN 2005)

• 
  Alberto Prieto, Joan Cabestany, Francisco Sandoval Hernández:
  Computational intelligence and bioinspired systems. 2701-2703

Neurocomputational formulations

• 
  Angelo Di Garbo, Alessandro Panarese, Michele Barbi, Santi Chillemi:
  The kinetics of the IPSC, the heterogeneity and the noise affect the firing coherence of a population of inhibitory interneurons. 2705-2715
• 
  Enric Claverol-Tinturé, Xavier Rosell, Joan Cabestany:
  Technical steps towards one-to-one electrode-neuron interfacing with neural circuits reconstructed in vitro. 2716-2722
• 
  Hugues Berry, Olivier Temam:
  Modeling self-developing biological neural networks. 2723-2734

Single and hybrid conventional models

• 
  Enrique Romero, René Alquézar:
  Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study. 2735-2743
• 
  Rodrigo Salas, Sebastián Moreno, Héctor Allende, Claudio Moraga:
  A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. 2744-2757
• 
  Ralf Eickhoff, Ulrich Rückert:
  Robustness of radial basis functions. 2758-2767
• 
  José Andrés Berzal, Pedro J. Zufiria:
  Dynamic behavior of DCT and DDT formulations for the Sanger neural network. 2768-2774
• 
  Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal:
  Fast evaluation of neural networks via confidence rating. 2775-2782
• 
  Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn:
  IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. 2783-2798
• 
  Ana Porto Pazos, Alfonso Araque, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
  A new hybrid evolutionary mechanism based on unsupervised learning for Connectionist Systems. 2799-2808
• 
  Miguel Rocha, Paulo Cortez, José Neves:
  Evolution of neural networks for classification and regression. 2809-2816

Neuroengineering and hardware implementations

• 
  Christian A. Morillas, Samuel F. Romero, Antonio Martínez-Álvarez, Francisco J. Pelayo, Leonardo Maria Reyneri, Markus Bongard, Eduardo Fernández:
  A neuroengineering suite of computational tools for visual prostheses. 2817-2827
• 
  Miguel A. Atencia Ruiz, Hafida Boumeridja, Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández:
  FPGA implementation of a systems identification module based upon Hopfield networks. 2828-2835

Applications

• 
  Kurosh Madani, Lamine Thiaw:
  Self-organizing multi-modeling: A different way to design intelligent predictors. 2836-2852
• 
  Alberto Guillén, Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto:
  Using fuzzy logic to improve a clustering technique for function approximation. 2853-2860
• 
  Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse:
  Methodology for long-term prediction of time series. 2861-2869
• 
  Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Alberto Prieto, Olga Valenzuela:
  Recursive prediction for long term time series forecasting using advanced models. 2870-2880
• 
  Juan José Murillo-Fuentes:
  Independent component analysis in the blind watermarking of digital images. 2881-2890
• 
  Cemil Öz, Ming C. Leu:
  Linguistic properties based on American Sign Language isolated word recognition with artificial neural networks using a sensory glove and motion tracker. 2891-2901
• 
  Jesús Fraile-Ardanuy, Pedro J. Zufiria:
  Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms. 2902-2912

Regular papers

• 
  Haofei Zou, Guoping Xia, Fangting Yang, Haiyan Wang:
  An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting. 2913-2923
• 
  Hongyong Zhao, Li Sun, Guanglan Wang:
  Periodic oscillation of discrete-time bidirectional associative memory neural networks. 2924-2930
• 
  Fei Wang, Changshui Zhang:
  Robust self-tuning semi-supervised learning. 2931-2939
• 
  Iveta Mrázová, Dianhui Wang:
  Improved generalization of neural classifiers with enforced internal representation. 2940-2952
• 
  Yumei Huang, Daoyi Xu, Zhichun Yang:
  Dissipativity and periodic attractor for non-autonomous neural networks with time-varying delays. 2953-2958
• 
  Yi-Chung Hu, Fang-Mei Tseng:
  Functional-link net with fuzzy integral for bankruptcy prediction. 2959-2968
• 
  Juha Karhunen, Tomas Ukkonen:
  Extending ICA for finding jointly dependent components from two related data sets. 2969-2979
• 
  Zhong Zhang, Chuandong Li, Xiaofeng Liao:
  Delay-dependent robust stability analysis for interval linear time-variant systems with delays and application to delayed neural networks. 2980-2995
• 
  Mihaela Enculescu, Michael Bestehorn:
  Mechanisms for activity spread in a neural field model. 2996-3000
• 
  Chia-Feng Juang, I-Fang Chung:
  Recurrent fuzzy network design using hybrid evolutionary learning algorithms. 3001-3010
• 
  Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran:
  Improved GAP-RBF network for classification problems. 3011-3018
• 
  Di Wang, Xiao-Jun Zeng, John A. Keane:
  Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables. 3019-3033
• 
  Hichem Sahbi:
  Kernel PCA for similarity invariant shape recognition. 3034-3045
• 
  Shuyuan Yang, Min Wang, Licheng Jiao:
  Ridgelet kernel regression. 3046-3055

Letters

• 
  Guang-Bin Huang, Lei Chen:
  Convex incremental extreme learning machine. 3056-3062
• 
  Qinghua Huang, Jie Yang, Yue Zhou:
  Variational Bayesian method for speech enhancement. 3063-3067
• 
  Bin Li, Danian Zheng, Lifeng Sun, Shiqiang Yang:
  Exploiting multi-scale support vector regression for image compression. 3068-3074

Errata

• 
  Erratum to "Computational Neuroscience: Trends in Research": [Neurocomputing 70 (10-12) (2007)]. 3075
• 
  Yonghui Xia, Jinde Cao, Sui Sun Cheng:
  Erratum to "Global exponential stability of delayed cellular neural networks with impulses": [Neurocomputing 70 (2007) 2495-2501]. 3076-3077