Neural Networks, Volume 18

Volume 18, Number 1, January 2005

• Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
  A year of exciting Special Issues! 13-
  
• Osamu Watanabe, Masayuki Kikuchi:
  Nonlinearity of the population activity to transparent motion. 15-22
  
• Kunihiko Fukushima:
  Use of non-uniform spatial blur for image comparison: symmetry axis extraction. 23-32
  
• Kunihiko Fukushima:
  Restoring partly occluded patterns: a neural network model. 33-43
  
• Fabrice Rossi, Brieuc Conan-Guez:
  Functional multi-layer perceptron: a non-linear tool for functional data analysis. 45-60
  
• Sanjay S. P. Rattan, William W. Hsieh:
  Complex-valued neural networks for nonlinear complex principal component analysis. 61-69
  
• Jun Nakanishi, Jay A. Farrell, Stefan Schaal:
  Composite adaptive control with locally weighted statistical learning. 71-90
  
• Pierre Courrieu:
  Function approximation on non-Euclidean spaces. 91-102
  

Volume 18, Number 2, March 2005

• Robert Hecht-Nielsen:
  Cogent confabulation. 111-115
  
• Manolis Wallace, Nicolas Tsapatsoulis, Stefanos D. Kollias:
  Intelligent initialization of resource allocating RBF networks. 117-122
  

• Md. Monirul Islam, Kazuyuki Murase:
  Chaotic dynamics of a behavior-based miniature mobile robot: effects of environment and control structure. 123-144
  
• Chanchal Chatterjee:
  Adaptive algorithms for first principal eigenvector computation. 145-159
  
• He Huang, Daniel W. C. Ho, Jinde Cao:
  Analysis of global exponential stability and periodic solutions of neural networks with time-varying delays. 161-170
  
• Sanqing Hu, Derong Liu:
  On the global output convergence of a class of recurrent neural networks with time-varying inputs. 171-178
  

• Giuseppe Alia, Enrico Martinelli:
  NEUROM: a ROM based RNS digital neuron. 179-189
  

• Alpha V. Pernía-Espinoza, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Ana González-Marcos:
  TAO-robust backpropagation learning algorithm. 191-204
  

• Athanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola:
  Experimentally optimal nu in support vector regression for different noise models and parameter settings. 205-
  

Volume 18, Number 3, April 2005

• Tomohiro Shibata, Hiromitsu Tabata, Stefan Schaal, Mitsuo Kawato:
  A model of smooth pursuit in primates based on learning the target dynamics. 213-224
  
• Bryan A. Strange, Andrew Duggins, William D. Penny, Raymond J. Dolan, Karl J. Friston:
  Information theory, novelty and hippocampal responses: unpredicted or unpredictable? 225-230
  

• Wenlian Lu, Tianping Chen:
  Dynamical behaviors of Cohen-Grossberg neural networks with discontinuous activation functions. 231-242
  
• Hongtao Lu, Zhenya He:
  Global exponential stability of delayed competitive neural networks with different time scales. 243-250
  
• Kazushi Ikeda, Tsutomu Aoishi:
  An asymptotic statistical analysis of support vector machines with soft margins. 251-259
  

• Ralph Linsker:
  Improved local learning rule for information maximization and related applications. 261-265
  
• Dmitry V. Lebedev, Jochen J. Steil, Helge Ritter:
  The dynamic wave expansion neural network model for robot motion planning in time-varying environments. 267-285
  

• Gail A. Carpenter, Siegfried Martens, Ogi J. Ogas:
  Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks. 287-295
  
• Ah-Hwee Tan, Hong Pan:
  Predictive neural networks for gene expression data analysis. 297-306
  

Volume 18, Number 4, May 2005

• John G. Taylor, Klaus R. Scherer, Roddy Cowie:
  Emotion and brain: Understanding emotions and modelling their recognition. 313-316
  
• David Sander, Didier Grandjean, Klaus R. Scherer:
  A systems approach to appraisal mechanisms in emotion. 317-352
  
• John G. Taylor, Nickolaos F. Fragopanagos:
  The interaction of attention and emotion. 353-369
  
• Roddy Cowie, Ellen Douglas-Cowie, Cate Cox:
  Beyond emotion archetypes: Databases for emotion modelling using neural networks. 371-388
  
• Nickolaos F. Fragopanagos, John G. Taylor:
  Emotion recognition in human-computer interaction. 389-405
  
• Laurence Devillers, Laurence Vidrascu, Lori Lamel:
  Challenges in real-life emotion annotation and machine learning based detection. 407-422
  
• Spiros Ioannou, Amaryllis Raouzaiou, Vassilis Tzouvaras, Theofilos P. Mailis, Kostas Karpouzis, Stefanos D. Kollias:
  Emotion recognition through facial expression analysis based on a neurofuzzy network. 423-435
  
• Theologos Athanaselis, Stelios Bakamidis, Ioannis Dologlou, Roddy Cowie, Ellen Douglas-Cowie, Cate Cox:
  ASR for emotional speech: Clarifying the issues and enhancing performance. 437-444
  
• Lola Cañamero:
  Emotion understanding from the perspective of autonomous robots research. 445-455
  

Volume 18, Number 5-6, July-August 2005

• Danil V. Prokhorov, Daniel S. Levine, Fredric M. Ham, William Howell:
  Welcome to the special issue. 457-
  
• Anatoli Gorchetchnikov, Massimiliano Versace, Michael E. Hasselmo:
  A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay. 458-466
  
• Ashok Patel, Bart Kosko:
  Stochastic resonance in noisy spiking retinal and sensory neuron models. 467-478
  
• Peng Xu, Pamela Abshire:
  Quantifying information and performance for flash detection in the blowfly photoreceptor. 479-487
  
• Keith Bush, James F. Knight, Charles Anderson:
  Optimizing conductance parameters of cortical neural models via electrotonic partitions. 488-496
  
• Walter J. Freeman, Mark D. Holmes:
  Metastability, instability, and state transition in neocortex. 497-504
  
• Yoshihiko Horio, Tohru Ikeguchi, Kazuyuki Aihara:
  A mixed analog/digital chaotic neuro-computer system for quadratic assignment problems. 505-513
  
• Hiroomi Hikawa:
  FPGA implementation of self organizing map with digital phase locked loops. 514-522
  
• Yoshio Kon'no, Toshimichi Saito, Hiroyuki Torikai:
  Rich dynamics of pulse-coupled spiking neurons with a triangular base signal. 523-531
  
• Emílio Del Moral Hernandez:
  Non-homogenous neural networks with chaotic recursive nodes: Connectivity and multi-assemblies structures in recursive processing elements architectures. 532-540
  
• David Casasent, Yu-Chiang Frank Wang:
  A hierarchical classifier using new support vector machines for automatic target recognition. 541-548
  
• Kazuya Tohyama, Kunihiko Fukushima:
  Neural network model for extracting optic flow. 549-556
  
• Cesar Torres-Huitzil, Bernard Girau, Claudio Castellanos Sánchez:
  On-chip visual perception of motion: A bio-inspired connectionist model on FPGA. 557-565
  
• Holger Bekel, Gunther Heidemann, Helge Ritter:
  Interactive image data labeling using self-organizing maps in an augmented reality scenario. 566-574
  
• Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola Kasabov:
  Incremental learning of feature space and classifier for face recognition. 575-584
  
• Hui Kong, Lei Wang, Eam Khwang Teoh, Xuchun Li, Jian-Gang Wang, Ronda Venkateswarlu:
  Generalized 2D principal component analysis for face image representation and recognition. 585-594
  
• John A. Drakopoulos, Ahmad Abdulkader:
  Training neural networks with heterogeneous data. 595-601
  
• Alex Graves, Jürgen Schmidhuber:
  Framewise phoneme classification with bidirectional LSTM and other neural network architectures. 602-610
  
• Matthew Hartley, Neill R. Taylor, John G. Taylor:
  Subfield variations in hippocampal processing--components of a spatial navigation system. 611-619
  
• Dominic I. Standage, Thomas P. Trappenberg, Raymond M. Klein:
  Modelling divided visual attention with a winner-take-all network. 620-627
  
• René Doursat, Jean Petitot:
  Dynamical systems and cognitive linguistics: toward an active morphodynamical semantics. 628-638
  
• Ana Maria C. Aleksandrowicz, Daniel S. Levine:
  Neural dynamics of psychotherapy: what modeling might tell us about us. 639-645
  
• Olivier Ménard, Hervé Frezza-Buet:
  Model of multi-modal cortical processing: Coherent learning in self-organizing modules. 646-655
  
• Mototaka Suzuki, Dario Floreano, Ezequiel A. Di Paolo:
  The contribution of active body movement to visual development in evolutionary robots. 656-665
  
• Kazuko Itoh, Hiroyasu Miwa, Hideaki Takanobu, Atsuo Takanishi:
  Application of neural network to humanoid robots--development of co-associative memory model. 666-673
  
• Gavin C. Cawley, Nicola L. C. Talbot:
  Constructing Bayesian formulations of sparse kernel learning methods. 674-683
  
• Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
  Handling missing values in support vector machine classifiers. 684-692
  
• Carl Gold, Alex Holub, Peter Sollich:
  Bayesian approach to feature selection and parameter tuning for support vector machine classifiers. 693-701
  
• Roland Memisevic, Geoffrey E. Hinton:
  Improving dimensionality reduction with spectral gradient descent. 702-710
  
• Ryotaro Kamimura:
  Unifying cost and information in information-theoretic competitive learning. 711-718
  
• Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, José Carlos Príncipe:
  A new classifier based on information theoretic learning with unlabeled data. 719-726
  
• Pablo A. Estévez, Cristián J. Figueroa, Kazumi Saito:
  Cross-entropy embedding of high-dimensional data using the neural gas model. 727-737
  
• Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov:
  A model of evolution and learning. 738-745
  
• Diego Federici:
  A regenerating spiking neural network. 746-754
  
• Ashraf M. Abdelbar, Mostafa A. El-Hemaly, Emad A. M. Andrews, Donald C. Wunsch II:
  Recurrent neural networks with backtrack-points and negative reinforcement applied to cost-based abduction. 755-764
  
• Haixiang Shi, Lipo Wang:
  Broadcast scheduling in wireless multihop networks using a neural-network-based hybrid algorithm. 765-771
  
• Frederick G. Harmon, Andrew A. Frank, Sanjay S. Joshi:
  The control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle using a CMAC neural network. 772-780
  
• Tugba Taskaya-Temizel, Matthew C. Casey:
  A comparative study of autoregressive neural network hybrids. 781-789
  
• Shi Zhong:
  Efficient streaming text clustering. 790-798
  
• Vasilios Zorkadis, Dimitris A. Karras, M. Panayotou:
  Efficient information theoretic strategies for classifier combination, feature extraction and performance evaluation in improving false positives and false negatives for spam e-mail filtering. 799-807
  
• Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria J. Cardoso:
  Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment. 808-817
  
• Tuan Zea Tan, Hiok Chai Quek, Geok See Ng:
  Ovarian cancer diagnosis by hippocampus and neocortex-inspired learning memory structures. 818-825
  
• Adam E. Gaweda, Mehmet Kerem Müezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier:
  Individualization of pharmacological anemia management using reinforcement learning. 826-834
  
• Derong Liu, Xiaoxu Xiong, Zeng-Guang Hou, Bhaskar DasGupta:
  Identification of motifs with insertions and deletions in protein sequences using self-organizing neural networks. 835-842
  
• Anshu Saksena, Dennis Lucarelli, I-Jeng Wang:
  Bayesian model selection for mining mass spectrometry data. 843-849
  
• Matthew J. Kyan, Ling Guan, Steven Liss:
  Refining competition in the self-organising tree map for unsupervised biofilm image segmentation. 850-860
  

Volume 18, Number 7, September 2005

• Juan C. Valle-Lisboa, Florencia Reali, Héctor Anastasía, Eduardo Mizraji:
  Elman topology with sigma-pi units: An application to the modeling of verbal hallucinations in schizophrenia. 863-877
  
• Thomas Voegtlin, Peter Ford Dominey:
  Linear recursive distributed representations. 878-895
  

• Konstantinos Koutroumbas, Nicholas Kalouptsidis:
  Generalized hamming networks and applications. 896-913
  
• Zongben Xu, Fei-Long Cao:
  Simultaneous L^p-approximation order for neural networks. 914-923
  
• Miki Aoyagi, Sumio Watanabe:
  Stochastic complexities of reduced rank regression in Bayesian estimation. 924-933
  

• Konstantinos P. Ferentinos:
  Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms. 934-950
  
• Daming Shi, Daniel S. Yeung, Junbin Gao:
  Sensitivity analysis applied to the construction of radial basis function networks. 951-957
  
• Takashi Takahashi, Takio Kurita:
  A robust classifier combined with an auto-associative network for completing partly occluded images. 958-966
  
• José Castro, Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez:
  Data-partitioning using the Hilbert space filling curves: Effect on the speed of convergence of Fuzzy ARTMAP for large database problems. 967-984
  

• Abdulhamit Subasi, Ahmet Alkan, Etem Koklukaya, M. Kemal Kiymik:
  Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing. 985-997
  
• Arthur Flexer, Herbert Bauer, Jürgen Pripfl, Georg Dorffner:
  Using ICA for removal of ocular artifacts in EEG recorded from blind subjects. 998-1005
  

• Tianping Chen:
  Letter to the Editor. 1006-1007
  
• Jiye Zhang:
  Reply to Letter to the Editor. 1008-1009
  

Volume 18, Number 8, October 2005

Neural Networks and Kernel Methods for Structured Domains

• Barbara Hammer, Craig Saunders, Alessandro Sperduti:
  Special issue on neural networks and kernel methods for structured domains. 1015-1018
  
• Xing-Ming Zhao, Yiu-ming Cheung, De-Shuang Huang:
  A novel approach to extracting features from motif content and protein composition for protein sequence classification. 1019-1028
  
• Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri:
  Learning protein secondary structure from sequential and relational data. 1029-1039
  
• Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
  Recursive neural networks for processing graphs with labelled edges: theory and applications. 1040-1050
  
• Thomas Voegtlin:
  Recursive principal components analysis. 1051-1063
  
• Marco Gori, Alessandro Sperduti:
  The loading problem for recursive neural networks. 1064-1079
  
• Pierre Baldi, Michal Rosen-Zvi:
  On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks. 1080-1086
  
• Menita Carozza, Salvatore Rampone:
  An incremental regression method for graph structured data. 1087-1092
  
• Liva Ralaivola, Sanjay Joshua Swamidass, Hiroto Saigo, Pierre Baldi:
  Graph kernels for chemical informatics. 1093-1110
  
• Marco Cuturi, Jean-Philippe Vert:
  The context-tree kernel for strings. 1111-1123
  

Volume 18, Number 9, November 2005

• Thomas Strösslin, Denis Sheynikhovich, Ricardo Chavarriaga, Wulfram Gerstner:
  Robust self-localisation and navigation based on hippocampal place cells. 1125-1140
  
• Erik Fransén:
  Functional role of entorhinal cortex in working memory processing. 1141-1149
  
• Marc W. Howard, Vaidehi S. Natu:
  Place from time: Reconstructing position from a distributed representation of temporal context. 1150-1162
  
• Adam Johnson, A. David Redish:
  Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model. 1163-1171
  
• Michael E. Hasselmo, Howard Eichenbaum:
  Hippocampal mechanisms for the context-dependent retrieval of episodes. 1172-1190
  
• John E. Lisman, Lucia M. Talamini, Antonino Raffone:
  Recall of memory sequences by interaction of the dentate and CA3: A revised model of the phase precession. 1191-1201
  
• Péter Érdi, Zsófia Huhn, Tamás Kiss:
  Hippocampal theta rhythms from a computational perspective: Code generation, mood regulation and navigation. 1202-1211
  
• Kenneth A. Norman, Ehren L. Newman, Adler J. Perotte:
  Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal. 1212-1228
  
• Edmund T. Rolls, Simon M. Stringer:
  Spatial view cells in the hippocampus, and their idiothetic update based on place and head direction. 1229-1241
  
• William B. Levy, Ashlie B. Hocking, Xiangbao Wu:
  Interpreting hippocampal function as recoding and forecasting. 1242-1264
  
• Mark A. Gluck, Catherine Myers, Martijn Meeter:
  Cortico-hippocampal interaction and adaptive stimulus representation: A neurocomputational theory of associative learning and memory. 1265-1279
  
• Francesco P. Battaglia, Gary R. Sutherland, Stephen L. Cowen, Bruce L. Mc Naughton, Kenneth D. Harris:
  Firing rate modulation: A simple statistical view of memory trace reactivation. 1280-1291
  

Volume 18, Number 10, December 2005

• Yiguang Liu, Zhisheng You, Liping Cao:
  A functional neural network computing some eigenvalues and eigenvectors of a special real matrix. 1293-1300
  

• Thomas Natschläger, Wolfgang Maass:
  Dynamics of information and emergent computation in generic neural microcircuit models. 1301-1308
  

• Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano:
  A novel information geometric approach to variable selection in MLP networks. 1309-1318
  
• Matthias S. Keil, Gabriel Cristóbal, Thorsten Hansen, Heiko Neumann:
  Recovering real-world images from single-scale boundaries with a novel filling-in architecture. 1319-1331
  
• Hongyong Zhao, Jinde Cao:
  New conditions for global exponential stability of cellular neural networks with delays. 1332-1340
  

• Yahya H. Zweiri, Lakmal D. Seneviratne, Kaspar Althoefer:
  Stability analysis of a three-term backpropagation algorithm. 1341-1347
  

• Yuanqing Li, Jun Wang:
  A network model for blind source extraction in various ill-conditioned cases. 1348-1356
  

• Francisco Aboitiz, Ricardo García, Enzo Brunetti, Conrado Bosman:
  Imitation and memory in language origins. 1357
  

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