Neurocomputing, Volume 69

Volume 69, Numbers 1-3, December 2005

Neural Networks in Signal Processing

• 
  Marc M. Van Hulle, Jan Larsen:
  Neural Networks in Signal Processing. 1-2
• 
  Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
  Loss functions to combine learning and decision in multiclass problems. 3-17
• 
  Samuel Kaski, Janne Sinkkonen, Arto Klami:
  Discriminative clustering. 18-41
• 
  Marcelino Lázaro, Ignacio Santamaría, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
  Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives. 42-61
• 
  Keisuke Yamazaki, Sumio Watanabe:
  Algebraic geometry and stochastic complexity of hidden Markov models. 62-84
• 
  Alexander Ypma, Tom Heskes:
  Novel approximations for inference in nonlinear dynamical systems using expectation propagation. 85-99
• 
  Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
  The differogram: Non-parametric noise variance estimation and its use for model selection. 100-122
• 
  Michael E. Tipping, Neil D. Lawrence:
  Variational inference for Student-t models: Robust Bayesian interpolation and generalised component analysis. 123-141
• 
  Vijanth S. Asirvadam, Seán F. McLoone, George W. Irwin:
  Computationally efficient sequential learning algorithms for direct link resource-allocating networks. 142-157
• 
  Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José C. Príncipe:
  Fast error whitening algorithms for system identification and control with noisy data. 158-181
• 
  Yutaka Maeda, Masatoshi Wakamura:
  Bidirectional associative memory with learning capability using simultaneous perturbation. 182-197
• 
  David Luengo, Ignacio Santamaría, Luis Vielva:
  A general solution to blind inverse problems for sparse input signals. 198-215

Letters

• 
  Songcan Chen, Tingkai Sun:
  Class-information-incorporated principal component analysis. 216-223
• 
  Daoqiang Zhang, Zhi-Hua Zhou:
  (2D)²PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. 224-231
• 
  Xiao-Song Yang, Quan Yuan:
  Chaos and transient chaos in simple Hopfield neural networks. 232-241
• 
  Dario Maio, Loris Nanni:
  Multihashing, human authentication featuring biometrics data and tokenized random number: A case study FVC2004. 242-249
• 
  Zonghua Zhang, Nikolaus F. Troje:
  View-independent person identification from human gait. 250-256
• 
  Loris Nanni:
  Hyperplanes for predicting protein-protein interactions. 257-263
• 
  Xiao-Long Zhu, Ji-Min Ye, Xianda Zhang:
  A fixed-point nonlinear PCA algorithm for blind source separation. 264-272
• 
  Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang:
  Using batch algorithm for kernel blind source separation. 273-278

Volume 69, Numbers 4-6, January 2006

Regular papers

• 
  Kunichika Tsumoto, Hiroyuki Kitajima, Tetsuya Yoshinaga, Kazuyuki Aihara, Hiroshi Kawakami:
  Bifurcations in Morris-Lecar neuron model. 293-316
• 
  Cengiz Günay, Anthony S. Maida:
  Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines. 317-367
• 
  G. Nagaraja, R. P. Jagadeesh Chandra Bose:
  Adaptive conjugate gradient algorithm for perceptron training. 368-386
• 
  Guangmin Sun, Xiaoying Dong, Guandong Xu:
  Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier. 387-402
• 
  Dusan Ristanovic, B. D. Stefanovic, Nebojsa T. Milosevic, M. Grgurevic, J. B. Stankovic:
  Mathematical modeling and computational analysis of neuronal cell images: Application to dendritic arborization of Golgi-impregnated neurons in dorsal horns of the rat spinal cord. 403-423
• 
  Hongyong Zhao:
  Exponential stability and periodic oscillatory of bi-directional associative memory neural network involving delays. 424-448
• 
  Yuehui Chen, Bo Yang, Jiwen Dong:
  Time-series prediction using a local linear wavelet neural network. 449-465
• 
  T. G. Barbounis, J. B. Theocharis:
  Locally recurrent neural networks for long-term wind speed and power prediction. 466-496
• 
  Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang, Wolfram Gronwald, Hans Robert Kalbitzer:
  Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils. 497-522
• 
  Shaoyuan Li, Qing Chen, Guang-Bin Huang:
  Dynamic temperature modeling of continuous annealing furnace using GGAP-RBF neural network. 523-536
• 
  Sang-Bok Choi, Bum-Soo Jung, Sang-Woo Ban, Hirotaka Niitsuma, Minho Lee:
  Biologically motivated vergence control system using human-like selective attention model. 537-558
• 
  Sheng Chen:
  Local regularization assisted orthogonal least squares regression. 559-585
• 
  Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan Lee:
  A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems. 586-614

Volume 69, Numbers 7-9, March 2006

New Issues in Neurocomputing: 13th European Symposium on Artificial Neural Networks

• 
  Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi:
  New Issues in Neurocomputing. 625-626
• 
  Christopher Johansson, Martin Rehn, Anders Lansner:
  Attractor neural networks with patchy connectivity. 627-633
• 
  Michael Lawrence, Thomas P. Trappenberg, Alan Fine:
  Rapid learning and robust recall of long sequences in modular associator networks. 634-641
• 
  Jochen J. Steil:
  Online stability of backpropagation-decorrelation recurrent learning. 642-650
• 
  Marc Strickert, Udo Seiffert, Nese Sreenivasulu, Winfriede Weschke, Thomas Villmann, Barbara Hammer:
  Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. 651-659
• 
  Michael Biehl, Anarta Ghosh, Barbara Hammer:
  Learning vector quantization: The dynamics of winner-takes-all algorithms. 660-670
• 
  Joseph Rynkiewicz:
  Efficient estimation of multidimensional regression model using multilayer perceptrons. 671-678
• 
  Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
  Boosting by weighting critical and erroneous samples. 679-685
• 
  Arjun Chandra, Xin Yao:
  Evolving hybrid ensembles of learning machines for better generalisation. 686-700
• 
  Alexander Rainer Tassilo Gepperth, Stefan Roth:
  Applications of multi-objective structure optimization. 701-713
• 
  Stéphane Canu, Alexander J. Smola:
  Kernel methods and the exponential family. 714-720
• 
  S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman, Alexander J. Smola:
  Kernel extrapolation. 721-729
• 
  Fabrice Rossi, Nathalie Villa:
  Support vector machine for functional data classification. 730-742
• 
  Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu:
  Translation-invariant classification of non-stationary signals. 743-753
• 
  Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente:
  Robust analysis of MRS brain tumour data using t-GTM. 754-768
• 
  Silvia Chiappa, David Barber:
  EEG classification using generative independent component analysis. 769-777

Regular papers

• 
  Rubin Wang, Xianfa Jiao:
  Stochastic model and neural coding of large-scale neuronal population with variable coupling strength. 778-785
• 
  Nicolae Tudoroiu, Rajnikant V. Patel, Khashayar Khorasani:
  Neural network based control strategies for improving plasma characteristics in reactive ion etching. 786-802
• 
  Chuandong Li, Xiaofeng Liao, Rong Zhang:
  A global exponential robust stability criterion for interval delayed neural networks with variable delays. 803-809
• 
  Andreas Wichert:
  Cell assemblies for diagnostic problem-solving. 810-824
• 
  Xiaoqin Zeng, Daniel S. Yeung:
  Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. 825-837

Letters

• 
  Loris Nanni, Alessandra Lumini:
  A reliable method for HIV-1 protease cleavage site prediction. 838-841
• 
  Loris Nanni:
  An ensemble of classifiers for the diagnosis of erythemato-squamous diseases. 842-845
• 
  Loris Nanni, Alessandra Lumini:
  A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem. 846-849
• 
  Loris Nanni:
  Ensemble of classifiers for protein fold recognition. 850-853
• 
  Loris Nanni, Alessandra Lumini:
  Advanced methods for two-class problem formulation for on-line signature verification. 854-857
• 
  Loris Nanni, Alessandra Lumini:
  Human authentication featuring signatures and tokenised random numbers. 858-861
• 
  Loris Nanni:
  A reliable method for the diagnosis of gastric carcinoma. 862-865
• 
  Loris Nanni:
  Machine learning algorithms for T-cell epitopes prediction. 866-868
• 
  Loris Nanni:
  Experimental comparison of one-class classifiers for online signature verification. 869-873
• 
  Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun:
  Noise removal using a novel non-negative sparse coding shrinkage technique. 874-877
• 
  Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok:
  Nonnegative independent component analysis based on minimizing mutual information technique. 878-883
• 
  Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang:
  Optimal selection of time lags for TDSEP based on genetic algorithm. 884-887
• 
  Zhi-Lin Zhang, Zhang Yi:
  Robust extraction of specific signals with temporal structure. 888-893
• 
  Zhi-Lin Zhang, Zhang Yi:
  Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction. 894-899
• 
  Zhi-Lin Zhang, Zhang Yi:
  Extraction of a source signal whose kurtosis value lies in a specific range. 900-904
• 
  Gustavo Camps-Valls, Luis Gómez-Chova, Joan Vila-Francés, José David Martín-Guerrero, Antonio J. Serrano-López, Emilio Soria-Olivas:
  Enhancing decision-based neural networks through local competition. 905-908
• 
  Emilio Soria-Olivas, José David Martín-Guerrero, Antonio J. Serrano-López, Javier Calpe-Maravilla, Joan Vila-Francés, Gustavo Camps-Valls:
  Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function. 909-912
• 
  Xinshun Xu, Jun Ma:
  An efficient simulated annealing algorithm for the minimum vertex cover problem. 913-916
• 
  Zhenwei Shi, Changshui Zhang:
  Gaussian moments for noisy complexity pursuit. 917-921
• 
  José Salvador Sánchez, A. I. Marqués:
  An LVQ-based adaptive algorithm for learning from very small codebooks. 922-927
• 
  Zhizheng Liang, David Zhang, Pengfei Shi:
  Robust kernel discriminant analysis and its application to feature extraction and recognition. 928-933
• 
  P. Nagabhushan, D. S. Guru, B. H. Shekar:
  (2D)² FLD: An efficient approach for appearance based object recognition. 934-940
• 
  Yiguang Liu, Zhisheng You, Liping Cao:
  On stability of disturbed Hopfield neural networks with time delays. 941-948
• 
  Yanwei Pang, Zhengkai Liu, Nenghai Yu:
  A new nonlinear feature extraction method for face recognition. 949-953
• 
  Ming-Jung Seow, Vijayan K. Asari:
  Ratio rule and homomorphic filter for enhancement of digital colour image. 954-958
• 
  Anhua Wan, Jigen Peng, Miansen Wang:
  Exponential stability of a class of generalized neural networks with time-varying delays. 959-963
• 
  Xiao-Long Zhu, Xian-Da Zhang, Yongtao Su:
  A fast NPCA algorithm for online blind source separation. 964-968
• 
  Joon Shik Lim, Dianhui Wang, Yong-Soo Kim, Sudhir Gupta:
  A neuro-fuzzy approach for diagnosis of antibody deficiency syndrome. 969-974
• 
  Hae Kyung Jung, Joon Hwan Choi, Taejeong Kim:
  Solving alignment problems in neural spike sorting using frequency domain PCA. 975-978

Errata

• 
  Rong-Jong Wai, Chia-Jui Chang:
  Erratum to "Tracking control based on neural network strategy for robot manipulator" by R.-J. Wai: [Neurocomputing 51 (2003) 425-445]. 979
• 
  Shoujue Wang, Jiangliang Lai:
  Erratum to: 'Geometrical learning, descriptive geometry, and biomimetic pattern recognition' by S. Wang and J. Lai [Neurocomputing 67 (2005) 9-28]. 980-981

Volume 69, Numbers 10-12, June 2006

Computational Neuroscience: Trends in Research 2006

• 
  Todd Troyer:
  Computational Neuroscience: Trends in Research 2006. 999-1000

Cellular and biophysical models

• 
  Lian Zhou, Robert LoMauro, Farzan Nadim:
  The interaction between facilitation and depression of two release mechanisms in a single synapse. 1001-1005
• 
  Patrick Crotty, William B. Levy:
  Intersymbol interference in axonal transmission. 1006-1009
• 
  Malin Sandström, Johannes Hjorth, Anders Lansner, Jeanette Hellgren Kotaleski:
  The impact of the distribution of isoforms on CaMKII activation. 1010-1013
• 
  Marja-Leena Linne, Tuula O. Jalonen:
  Properties and roles of BK_Ca channels in cultured cerebellar granule neuron: Experimental and simulation studies. 1014-1019
• 
  Rodrigo Publio, Rodrigo Freire Oliveira, Antônio C. Roque-da-Silva:
  A realistic model of rod photoreceptor for use in a retina network model. 1020-1024
• 
  Maciej T. Lazarewicz, Chyze-Whee Ang, Gregory C. Carlson, Douglas A. Coulter, Leif H. Finkel:
  Analysis of NMDA-dependent voltage bistability in thin dendritic compartments. 1025-1029
• 
  Sorinel Adrian Oprisan, Carmen C. Canavier:
  Technique for eliminating nonessential components in the refinement of a model of dopamine neurons. 1030-1034

Compartmental models

• 
  Yu Zhuang:
  A parallel and efficient algorithm for multicompartment neuronal modelling. 1035-1038
• 
  William C. Gerken, L. K. Purvis, Robert J. Butera:
  Genetic algorithm for optimization and specification of a neuron model. 1039-1042
• 
  Takayuki Yamasaki, Teijiro Isokawa, Nobuyuki Matsui, Hidetoshi Ikeno, Ryohei Kanzaki:
  Reconstruction and simulation for three-dimensional morphological structure of insect neurons. 1043-1047
• 
  Fernanda Saraga, Xiaolei Zhang, Liang Zhang, Peter L. Carlen, Frances K. Skinner:
  Exploring gap junction location and density in electrically coupled hippocampal oriens interneurons. 1048-1052
• 
  Christina M. Weaver, Susan L. Wearne:
  The role of action potential shape and parameter constraints in optimization of compartment models. 1053-1057
• 
  Yulia Timofeeva, Gabriel J. Lord, Stephen Coombes:
  Dendritic cable with active spines: A modelling study in the spike-diffuse-spike framework. 1058-1061

Neuronal dynamics

• 
  Laurent Badel, Wulfram Gerstner, Magnus J. E. Richardson:
  Dependence of the spike-triggered average voltage on membrane response properties. 1062-1065
• 
  Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen:
  A novel approach to model neuronal signal transduction using stochastic differential equations. 1066-1069
• 
  Krisztina Szalisznyó, André Longtin, Leonard Maler:
  Altered sensory filtering and coding properties by synaptic dynamics in the electric sense. 1070-1075
• 
  Joanna Pressley, Todd W. Troyer:
  Temporal processing in the exponential integrate-and-fire model is nonlinear. 1076-1080
• 
  Aurel A. Lazar:
  A simple model of spike processing. 1081-1085
• 
  Robert L. Fry:
  Dual-matching as a problem solved by neurons. 1086-1090
• 
  Antti Saarinen, Marja-Leena Linne, Olli Yli-Harja:
  Modeling single neuron behavior using stochastic differential equations. 1091-1096

Oscillatory dynamics

• 
  Mikael Huss, Lorenzo Cangiano, Jeanette Hellgren Kotaleski:
  Modelling self-sustained rhythmic activity in lamprey hemisegmental networks. 1097-1102
• 
  Inbar Saraf-Sinik, Yair Manor:
  Role of frequency-dependent weighing of inputs on frequency regulation of a pacemaker-driven rhythm. 1103-1107
• 
  Uri Barkan, David Horn:
  Spatiotemporal clustering of synchronized bursting events in neuronal networks. 1108-1111
• 
  Roberto Fdez. Galán, Bard Ermentrout, Nathaniel N. Urban:
  Predicting synchronized neural assemblies from experimentally estimated phase-resetting curves. 1112-1115
• 
  Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano:
  Synchronization effects using a piecewise linear map-based spiking-bursting neuron model. 1116-1119
• 
  Vladimir Brezina, Alex Proekt, Klaudiusz R. Weiss:
  Cycle-to-cycle variability as an optimal behavioral strategy. 1120-1124
• 
  Abraham R. Schneider, Timothy J. Lewis, John Rinzel:
  Effects of correlated input and electrical coupling on synchrony in fast-spiking cell networks. 1125-1129

Network dynamics

• 
  Michelle Rudolph, Alain Destexhe:
  Event-based simulation strategy for conductance-based synaptic interactions and plasticity. 1130-1133
• 
  David Hsu, John M. Beggs:
  Neuronal avalanches and criticality: A dynamical model for homeostasis. 1134-1136
• 
  Quan Zou, Yannick Bornat, Jean Tomas, Sylvie Renaud, Alain Destexhe:
  Real-time simulations of networks of Hodgkin-Huxley neurons using analog circuits. 1137-1140
• 
  Cláudia Horta, Wolfram Erlhagen:
  Robust persistent activity in neural fields with asymmetric connectivity. 1141-1145
• 
  Shoji Tanaka, Hiroaki Ebi, Koki Yamashita:
  A new mode beyond the inverted-U region of the dopaminergic modulation of the prefrontal cortex. 1146-1149
• 
  Nadav Raichman, Vladislav Volman, Eshel Ben-Jacob:
  Collective plasticity and individual stability in cultured neuronal networks. 1150-1154
• 
  Mikael Lundqvist, Martin Rehn, Anders Lansner:
  Attractor dynamics in a modular network model of the cerebral cortex. 1155-1159
• 
  William W. Lytton, Mark Stewart:
  Rule-based firing for network simulations. 1160-1164
• 
  Christian H. Kasess, Calin I. Buia, Paul H. E. Tiesinga:
  A biophysical model of frequency-sweep selectivity in primary auditory cortex. 1165-1168
• 
  Daniel P. Knudsen, John T. Arsenault, Scott A. Hill, Donald M. O'Malley, Jorge V. José:
  Locomotor network modeling based on identified zebrafish neurons. 1169-1174
• 
  Daniel Martí, Gustavo Deco, Paolo Del Giudice, Maurizio Mattia:
  Reward-biased probabilistic decision-making: Mean-field predictions and spiking simulations. 1175-1178
• 
  Frank Emmert-Streib:
  Influence of the neural network topology on the learning dynamics. 1179-1182

Synaptic plasticity

• 
  Thomas J. Sullivan, Virginia R. de Sa:
  A self-organizing map with homeostatic synaptic scaling. 1183-1186
•