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
• 
  Thanasis G. Barbounis, John 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 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 Carlos 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, Liston 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
• 
  Horatiu Voicu, Michael D. Mauk:
  Parametric analysis of cerebellar LTD in eyelid conditioning. 1187-1190
• 
  Patrick D. Roberts, Christine V. Portfors, Nathaniel Sawtell, Richard Felix II:
  Model of auditory prediction in the dorsal cochlear nucleus via spike-timing dependent plasticity. 1191-1194
• 
  Patrick D. Roberts, Gerardo Lafferriere, Nathaniel Sawtell, Alan Williams, Curtis C. Bell:
  Dynamic regulation of spike-timing dependent plasticity in electrosensory processing. 1195-1198

Coding and optimal processing

• 
  Thomas Wennekers, Nihat Ay:
  A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions. 1199-1202
• 
  Marcelo A. Montemurro, Stefano Panzeri:
  Stimulus specificity of cortico-cortical connections optimizes information transmission. 1203-1205
• 
  Kazuhisa Fujita, Yoshiki Kashimori:
  Population coding of electrosensory stimulus in receptor network. 1206-1210
• 
  Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strösslin, Wulfram Gerstner:
  Adaptive sensory processing for efficient place coding. 1211-1214
• 
  Christopher J. Rozell, Don H. Johnson:
  Analyzing the robustness of redundant population codes in sensory and feature extraction systems. 1215-1218
• 
  Martin Rehn, Friedrich T. Sommer:
  Storing and restoring visual input with collaborative rank coding and associative memory. 1219-1223
• 
  José M. Delgado, Antonio Turiel, Néstor Parga:
  Receptive fields of simple cells from a taxonomic study of natural images and suppression of scale redundancy. 1224-1227

Hippocampus

• 
  Hiroaki Wagatsuma, Yoko Yamaguchi:
  Disambiguation in spatial navigation with theta phase coding. 1228-1232
• 
  William B. Levy, Xiangbao Wu:
  External activity and the freedom to recode. 1233-1237
• 
  Xiangbao Wu, William B. Levy:
  Decision functions that can support a hippocampal model. 1238-1243
• 
  Ashlie B. Hocking, William B. Levy:
  Gamma oscillations in a minimal CA3 model. 1244-1248
• 
  Bálint Takács, András Lörincz:
  Independent component analysis forms place cells in realistic robot simulations. 1249-1252
• 
  X. Yu, James J. Knierim, I. Lee, Harel Z. Shouval:
  Simulating place field dynamics using spike timing-dependent plasticity. 1253-1259
• 
  David S. Touretzky, Robert U. Muller:
  Place field dissociation and multiple maps in hippocampus. 1260-1263
• 
  Kit Longden:
  Model of CA1 place field formation with CA3 lesioned. 1264-1267

Visual system

• 
  Paul H. E. Tiesinga:
  Stimulus competition by inhibitory interference. 1268-1271
• 
  James A. Bednar, Risto Miikkulainen:
  Joint maps for orientation, eye, and direction preference in a self-organizing model of V1. 1272-1276
• 
  Jacek Turski:
  Computational harmonic analysis for human and robotic vision systems. 1277-1280
• 
  Brett J. Graham, David P. M. Northmore:
  A model of proximity measurement by the teleost nucleus isthmi. 1281-1285
• 
  Marco A. Huertas, Gregory D. Smith:
  A two-dimensional population density approach to modeling the dLGN/PGN network. 1286-1290
• 
  Stefanie Jegelka, James A. Bednar, Risto Miikkulainen:
  Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1. 1291-1296
• 
  Nadja Schinkel, Klaus R. Pawelzik, Udo A. Ernst:
  Optimal contour integration: When additive algorithms fail. 1297-1300
• 
  Neil D. B. Bruce, John K. Tsotsos:
  A statistical basis for visual field anisotropies. 1301-1304
• 
  Junmei Zhu, Christoph von der Malsburg:
  Associative memory of connectivity patterns. 1305-1308
• 
  Yiu-Fai Sit, Risto Miikkulainen:
  Self-organization of hierarchical visual maps with feedback connections. 1309-1312

Cognitive neuroscience and imaging

• 
  Péter András:
  Extraction of an activity pattern language from EEG data. 1313-1316
• 
  Franziska Koepke, Marco Loh, Albert Costa, Gustavo Deco:
  Neurodynamical approach to the picture-word interference effect. 1317-1321
• 
  Nicola De Pisapia, Todd S. Braver:
  A model of dual control mechanisms through anterior cingulate and prefrontal cortex interactions. 1322-1326
• 
  Shinya Ishii, Munetaka Shidara, Katsunari Shibata:
  A model to explain the emergence of reward expectancy neurons using reinforcement learning and neural network. 1327-1331
• 
  Jeremy R. Reynolds, Todd S. Braver, Joshua W. Brown, Stefan Van der Stigchel:
  Computational and neural mechanisms of task switching. 1332-1336
• 
  Won Sup Kim, Seung Kee Han:
  Phase analysis of single-trial EEGs: Phase resetting of alpha and theta rhythms. 1337-1340
• 
  Yuqiao Gu, Geir Halnes, Hans Liljenström, Dietrich von Rosen, Björn Wahlund, Hualou Liang:
  Modelling ECT effects by connectivity changes in cortical neural networks. 1341-1347
• 
  Alan H. Bond:
  Brain mechanisms for interleaving routine and creative action. 1348-1353
• 
  Erhan Öztop, Hiroshi Imamizu, Gordon Cheng, Mitsuo Kawato:
  A computational model of anterior intraparietal (AIP) neurons. 1354-1361

Data analysis and software

• 
  J. Vincent Toups, Paul H. E. Tiesinga:
  Methods for finding and validating neural spike patterns. 1362-1365
• 
  Nhamo Mtetwa, Leslie S. Smith:
  Smoothing and thresholding in neuronal spike detection. 1366-1370
• 
  Antti Pettinen, Olli Yli-Harja, Marja-Leena Linne:
  Comparison of automated parameter estimation methods for neuronal signaling networks. 1371-1374
• 
  Ping Du, Todd W. Troyer:
  A segmentation algorithm for zebra finch song at the note level. 1375-1379
• 
  Mingzhou (Joe) Song, Hongbin Wang:
  A spike sorting framework using nonparametric detection and incremental clustering. 1380-1384
• 
  Jesse A. Gillis, Liang Zhang, Frances K. Skinner:
  Deficiencies in traditional measures of in vitro hippocampal rhythms. 1385-1390

Volume 69, Numbers 13-15, August 2006

Blind Source Separation and Independent Component Analysis - Selected papers from the ICA 2004 meeting, Granada, Spain

• 
  Carlos García Puntonet, Elmar Wolfgang Lang:
  Blind source separation and independent component analysis. 1413
• 
  Samareh Samadi, Massoud Babaie-Zadeh, Christian Jutten:
  Quasi-optimal EASI algorithm based on the Score Function Difference (SFD). 1415-1424
• 
  Susana Hornillo-Mellado, Rubén Martín-Clemente, Carlos García Puntonet, José I. Acha, Juan Manuel Górriz Sáez:
  Maximization of statistical moments for blind separation of sources revisited. 1425-1434
• 
  David Blanco, Bernard Mulgrew, Steve McLaughlin, Diego P. Ruiz, María C. Carrión:
  The use of ICA in multiplicative noise. 1435-1441
• 
  J. M. Górriz, Carlos García Puntonet, Fernando Rojas, R. Martin, Susana Hornillo-Mellado, Elmar Wolfgang Lang:
  Optimizing blind source separation with guided genetic algorithms. 1442-1457
• 
  Massoud Babaie-Zadeh, Christian Jutten, Ali Mansour:
  Sparse ICA via cluster-wise PCA. 1458-1466
• 
  Jordi Solé i Casals, Marcos Faúndez-Zanuy:
  Application of the mutual information minimization to speaker recognition/identification improvement. 1467-1474
• 
  Hilit Unger, Yehoshua Y. Zeevi:
  Blind separation of spatio-temporal Synfire sources and visualization of neural cliques. 1475-1484
• 
  Peter Gruber, Kurt Stadlthanner, Matthias Böhm, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Carlos García Puntonet, Juan Manuel Górriz Sáez:
  Denoising using local projective subspace methods. 1485-1501
• 
  Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig:
  Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. 1502-1512
• 
  Hyun-Jin Park, Te-Won Lee:
  Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution. 1513-1528
• 
  Luciano Sarperi, Xu Zhu, Asoke K. Nandi:
  Low-complexity ICA based blind multiple-input multiple-output OFDM receivers. 1529-1539

Regular Papers

• 
  Enrique Romero, René Alquézar:
  A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies. 1540-1552
• 
  Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger:
  A neurocomputational model of stochastic resonance and aging. 1553-1560
• 
  Francisco J. Veredas, Francisco J. Vico, José M. Alonso:
  Evolving networks of integrate-and-fire neurons. 1561-1569
• 
  Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz:
  Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. 1570-1581
• 
  Ralf Möller:
  First-order approximation of Gram-Schmidt orthonormalization beats deflation in coupled PCA learning rules. 1582-1590
• 
  Shigang Yue, F. Claire Rind, Matthias S. Keil, Jorge Cuadri, Richard Stafford:
  A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment. 1591-1598
• 
  Christoph Rasche:
  Speed estimation with propagation maps. 1599-1607
• 
  Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller:
  From outliers to prototypes: Ordering data. 1608-1618
• 
  Kun Yuan, Jinde Cao, Jianming Deng:
  Exponential stability and periodic solutions of fuzzy cellular neural networks with time-varying delays. 1619-1627
• 
  Liang Zhao, Juan C. G. Cáceres, Antonio P. G. Damiance, Harold Szu:
  Chaotic dynamics for multi-value content addressable memory. 1628-1636
• 
  V. V. Smirnov:
  A generalized addressing concept for correlative memory and neural networks. 1637-1644
• 
  Aiko Miyamura Ideta:
  Stability of feedback error learning method with time delay. 1645-1654

Letters

• 
  Yuangui Li, Chen Lin, Weidong Zhang:
  Improved sparse least-squares support vector machine classifiers. 1655-1658
• 
  Danian Zheng, Jiaxin Wang, Yannan Zhao:
  Training sparse MS-SVR with an expectation-maximization algorithm. 1659-1664
• 
  Jiahai Wang:
  An improved discrete Hopfield neural network for Max-Cut problems. 1665-1669
• 
  Loris Nanni, Alessandra Lumini:
  An experimental comparison of ensemble of classifiers for biometric data. 1670-1673
• 
  Zhiwu Lu:
  An iterative algorithm for entropy regularized likelihood learning on Gaussian mixture with automatic model selection. 1674-1677
• 
  Loris Nanni, Alessandra Lumini:
  An approach for improving face recognition in presence of inaccurate detection. 1678-1682
• 
  Fengxi Song, David Zhang, Jing-Yu Yang:
  A novel dimensionality-reduction approach for face recognition. 1683-1687
• 
  Loris Nanni, Alessandra Lumini:
  MppS: An ensemble of support vector machine based on multiple physicochemical properties of amino acids. 1688-1690
• 
  Elisa Ricci, Luca Rugini, Renzo Perfetti:
  SVM-based CDMA receiver with incremental active learning. 1691-1696
• 
  Jian Yang, David Zhang, Jing-Yu Yang:
  Locally principal component learning for face representation and recognition. 1697-1701
• 
  Loris Nanni, Alessandra Lumini:
  Random Bands: A novel ensemble for fingerprint matching. 1702-1705
• 
  Alessandra Lumini, Loris Nanni:
  An advanced multi-modal method for human authentication featuring biometrics data and tokenised random numbers. 1706-1710
• 
  Shaffi Noushath, G. Hemantha Kumar, P. Shivakumara:
  Diagonal Fisher linear discriminant analysis for efficient face recognition. 1711-1716
• 
  Lifeng Shang, Jiancheng Lv, Zhang Yi:
  Rigid medical image registration using PCA neural network. 1717-1722
• 
  Sang-Woo Ban, Minho Lee:
  Selective attention-based novelty scene detection in dynamic environments. 1723-1727
• 
  Elisa Ricci, Renzo Perfetti:
  Improved pruning strategy for radial basis function networks with dynamic decay adjustment. 1728-1732
• 
  Guiyu Feng, Dewen Hu, David Zhang, Zongtan Zhou:
  An alternative formulation of kernel LPP with application to image recognition. 1733-1738
• 
  Loris Nanni:
  A reliable method for designing an automatic karyotyping system. 1739-1742
• 
  Shiliang Sun, Changshui Zhang:
  An optimal kernel feature extractor and its application to EEG signal classification. 1743-1748
• 
  Adriano L. I. Oliveira:
  Estimation of software project effort with support vector regression. 1749-1753
• 
  Ángel Navia-Vázquez, Emilio Parrado-Hernández:
  Support vector machine interpretation. 1754-1759
• 
  Yiguang Liu, Zhisheng You, Liping Cao:
  On the almost periodic solution of generalized Hopfield neural networks with time-varying delays. 1760-1767
• 
  Claudio Varini, Andreas Degenhard, Tim W. Nattkemper:
  ISOLLE: LLE with geodesic distance. 1768-1771
• 
  Reza Rastegar, Arash Hariri:
  The Population-Based Incremental Learning Algorithm converges to local optima. 1772-1775
• 
  Ping Li, Jinde Cao:
  Stability in static delayed neural networks: A nonlinear measure approach. 1776-1781
• 
  Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Zheng:
  Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network. 1782-1786
• 
  Yan Huang, Xiao-Song Yang:
  Hyperchaos and bifurcation in a new class of four-dimensional Hopfield neural networks. 1787-1795
• 
  Xiaoyang Tan, Jun Liu, Songcan Chen:
  Sub-intrapersonal space analysis for face recognition. 1796-1801
• 
  Changjie Yu, Jihong Zhu, Jinchun Hu, Zengqi Sun:
  Experimental modeling using modified cascade correlation RBF networks for a four DOF tilt rotor aircraft platform. 1802-1805
• 
  Yu-Jie Zheng, Jian Yang, Jing-Yu Yang, Xiaojun Wu:
  A reformative kernel Fisher discriminant algorithm and its application to face recognition. 1806-1810

Volume 69, Numbers 16-18, October 2006

Brain Inspired Cognitive Systems - Selected papers from the 1st International Conference on Brain Inspired Cognitive Systems (BICS 2004)

• 
  Amir Hussain, Leslie S. Smith, Igor Alexander:
  Brain inspired cognitive systems (BICS 2004). 1825-1826
• 
  Kunihiko Fukushima, Masayuki Kikuchi:
  Symmetry axis extraction by a neural network. 1827-1836
• 
  Ramin Pichevar, Jean Rouat, Le Tan Thanh Tai:
  The oscillatory dynamic link matcher for spiking-neuron-based pattern recognition. 1837-1849
• 
  Victoria J. Hodge, Simon O'Keefe, Jim Austin:
  A binary neural decision table classifier. 1850-1859
• 
  Il Song Han:
  Mixed-signal neuron-synapse implementation for large-scale neural network. 1860-1867
• 
  Ali S. Zayed, Amir Hussain, Rudwan Abdullah:
  A novel multiple-controller incorporating a radial basis function neural network based generalized learning model. 1868-1881
• 
  Ahsan Abdullah, Amir Hussain:
  A new biclustering technique based on crossing minimization. 1882-1896
• 
  Laura Bonzano, Marco Bove, Sergio Martinoia:
  Effects of NMDA and non-NMDA receptors antagonists on the dynamic behavior of cultured cortical networks. 1897-1903
• 
  Zhijun Yang, Alan F. Murray:
  An artificial early visual model adopting spike-timing-dependent plasticity. 1904-1911
• 
  Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche:
  Learning under weight constraints in networks of temporal encoding spiking neurons. 1912-1922
• 
  Jason P. Garforth, Sue L. McHale, Anthony Meehan:
  Executive attention, task selection and attention-based learning in a neurally controlled simulated robot. 1923-1945
• 
  Juan Navarro, Eduardo Sánchez, Antonio Canedo:
  Spatio-temporal information coding in the cuneate nucleus. 1946-1953
• 
  Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii:
  Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors. 1954-1961
• 
  Jordi Cosp, Jordi Madrenas, Daniel Fernández:
  Design and basic blocks of a neuromorphic VLSI analogue vision system. 1962-1970
• 
  Chiara Bartolozzi, Giacomo Indiveri:
  Selective attention implemented with dynamic synapses and integrate-and-fire neurons. 1971-1976
• 
  Nickolaos F. Fragopanagos, John G. Taylor:
  Modelling the interaction of attention and emotion. 1977-1983
• 
  Ivan Moura:
  A model of agent consciousness and its implementation. 1984-1995
• 
  Martin Böhme, Michael Dorr, Christopher Krause, Thomas Martinetz, Erhardt Barth:
  Eye movement predictions on natural videos. 1996-2004
• 
  Matthew Hartley, Neill R. Taylor, John G. Taylor:
  Understanding spike-time-dependent plasticity: A biologically motivated computational model. 2005-2016

Regular papers

• 
  Chin-Chen Chang:
  Adaptive multiple sets of CSS features for hand posture recognition. 2017-2025
• 
  Ram Narayan Yadav, Nimit Kumar, Prem Kumar Kalra, Joseph John:
  Learning with generalized-mean neuron model. 2026-2032
• 
  K. W. Lau, Hujun Yin, Simon J. Hubbard:
  Kernel self-organising maps for classification. 2033-2040
• 
  André da Motta Salles Barreto, Helio J. C. Barbosa, Nelson F. F. Ebecken:
  GOLS - Genetic orthogonal least squares algorithm for training RBF networks. 2041-2064
• 
  Hyung-Min Park, Chandra Shekhar Dhir, Sang-Hoon Oh, Soo-Young Lee:
  A filter bank approach to independent component analysis for convolved mixtures. 2065-2077
• 
  Cheng-Jian Lin, Yong-Ji Xu:
  A novel genetic reinforcement learning for nonlinear fuzzy control problems. 2078-2089
• 
  Bingwen Liu, Lihong Huang:
  Global exponential stability of BAM neural networks with recent-history distributed delays and impulses. 2090-2096
• 
  Jie Ni, Qing Song:
  Dynamic pruning algorithm for multilayer perceptron based neural control systems. 2097-2111
• 
  Takahiko Koike, Jun Saiki:
  Stochastic saliency-based search model for search asymmetry with uncertain targets. 2112-2126
• 
  Vladimir Kvasnicka, Jiri Pospichal:
  Deductive rules in holographic reduced representation. 2127-2139
• 
  Tamoghna Das, I. N. Kar, S. Chaudhury:
  Simple neuron-based adaptive controller for a nonholonomic mobile robot including actuator dynamics. 2140-2151
• 
  Yanqing Liu, Wansheng Tang:
  Existence and exponential stability of periodic solution for BAM neural networks with periodic coefficients and delays. 2152-2160
• 
  C. Harpham, Christian W. Dawson:
  The effect of different basis functions on a radial basis function network for time series prediction: A comparative study. 2161-2170
• 
  Peter Raicevic:
  Parallel reinforcement learning using multiple reward signals. 2171-2179
• 
  Rémi Dubois, Brigitte Quenet, Y. Faisandier, Gérard Dreyfus:
  Building meaningful representations for nonlinear modeling of 1d- and 2d-signals: applications to biomedical signals. 2180-2192
• 
  Kyung-Joong Kim, Sung-Bae Cho:
  Evolved neural networks based on cellular automata for sensory-motor controller. 2193-2207
• 
  Qun Dai, Songcan Chen:
  Integrating the improved CBP model with kernel SOM. 2208-2216
• 
  Jianhua Zhao, Qibao Jiang:
  Probabilistic PCA for t distributions. 2217-2226
• 
  Ernst M. Kussul, Tatiana Baidyk:
  LIRA neural classifier for handwritten digit recognition and visual controlled microassembly. 2227-2235
• 
  Xue-wen Chen:
  Margin-based wrapper methods for gene identification using microarray. 2236-2243
• 
  Wei Lu, Jagath C. Rajapakse:
  ICA with Reference. 2244-2257
• 
  Debashis Ghosh:
  Finding cancer subtypes in microarray data using random projections. 2258-2267
• 
  Daniel Manrique, Juan Rios, Alfonso Rodríguez-Patón:
  Evolutionary system for automatically constructing and adapting radial basis function networks. 2268-2283
• 
  Mu-Chun Su, Jonathan Lee, Kuo-Lung Hsieh:
  A new ARTMAP-based neural network for incremental learning. 2284-2300
• 
  Wei Lin, Tianping Chen:
  Analysis of two restart algorithms. 2301-2308
• 
  Ilke Turkmen, Kerim Güney, Dervis Karaboga:
  Genetic tracker with neural network for single and multiple target tracking. 2309-2319
• 
  Wei Wang, Jean-Jacques E. Slotine:
  Fast computation with neural oscillators. 2320-2326
• 
  Chin-Chen Chang, Chia-Te Liao:
  An image coding scheme using SMVQ and support vector machines. 2327-2335

Letters

• 
  Loris Nanni, Alessandra Lumini:
  A deformation-invariant image-based fingerprint verification system. 2336-2339
• 
  Hiroshi Inazawa, Garrison W. Cottrell:
  Phase space learning in an autonomous dynamical neural network. 2340-2345
• 
  Shiguo Lian, Jinsheng Sun, Zhiquan Wang:
  Secure hash function based on neural network. 2346-2350
• 
  Mingjun Zhong:
  A variational method for learning sparse Bayesian regression. 2351-2355
• 
  André O. Falcão, Thibault Langlois, Andreas Wichert:
  Flexible kernels for RBF networks. 2356-2359
• 
  Hazem M. El-Bakry:
  New fast time delay neural networks using cross correlation performed in the frequency domain. 2360-2363
• 
  Yadong Wu, Qing-Xin Zhu, Shixin Sun, Hongying Zhang:
  Image restoration using variational PDE-based neural network. 2364-2368
• 
  Fei Han, De-Shuang Huang:
  Improved extreme learning machine for function approximation by encoding a priori information. 2369-2373
• 
  Xuyang Lou, Baotong Cui:
  New LMI conditions for delay-dependent asymptotic stability of delayed Hopfield neural networks. 2374-2378
• 
  Bing Guo, Dianhui Wang, Yan Shen, Zhong Liu:
  Hardware-software partitioning of real-time operating systems using Hopfield neural networks. 2379-2384
• 
  Haitao Zhao:
  Combining labeled and unlabeled data with graph embedding. 2385-2389
• 
  Loris Nanni, Alessandra Lumini:
  Empirical tests on BioHashing. 2390-2395
• 
  Jun Zhang, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu:
  A novel adaptive sequential niche technique for multimodal function optimization. 2396-2401
• 
  Loris Nanni:
  An advanced multi-matcher method for on-line signature verification featuring global features and tokenised random numbers. 2402-2406
• 
  Chun-Hou Zheng, De-Shuang Huang, Li Shang:
  Feature selection in independent component subspace for microarray data classification. 2407-2410
• 
  Songcan Chen, Daohong Li:
  Image binarization focusing on objects. 2411-2415
• 
  Barnabás Póczos, András Lörincz:
  Non-combinatorial estimation of independent autoregressive sources. 2416-2419
• 
  John Sum, Kevin Ho:
  On-line estimation of the final prediction error via recursive least-squares method. 2420-2424
• 
  Thomas Villmann, Frank-Michael Schleif, Barbara Hammer:
  Prototype-based fuzzy classification with local relevance for proteomics. 2425-2428
• 
  Taeshik Shon, Xeno Kovah, Jongsub Moon:
  Applying genetic algorithm for classifying anomalous TCP/IP packets. 2429-2433
• 
  Loris Nanni:
  A novel ensemble of classifiers for protein fold recognition. 2434-2437
• 
  Lei Xie, Jun Wu:
  Global optimal ICA and its application in MEG data analysis. 2438-2442
• 
  Hongtao Yin, Ping Fu, Shengwei Meng:
  Sampled FLDA for face recognition with single training image per person. 2443-2445
• 
  Renzo Perfetti, Elisa Ricci:
  Reduced complexity RBF classifiers with support vector centres and dynamic decay adjustment. 2446-2450
• 
  Juan L. Pedreño-Molina, Miguel Pinzolas, Juan Monzó-Cabrera:
  A new methodology for in situ calibration of a neural network-based software sensor for S-parameter prediction in six-port reflectometers. 2451-2455
• 
  Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
  On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment. 2456-2460
• 
  Andrew Teoh Beng Jin, Tee Connie:
  Remarks on BioHashing based cancelable biometrics in verification system. 2461-2464