Neural Networks, Volume 24

Volume 24, Number 1, January 2011

Editorial

• 
  Kenji Doya, Stephen Grossberg, John G. Taylor, DeLiang Wang:
  An excellent year and a transition. 1

Neural Networks Letters

• 
  Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Yangguang Liu, Xiaomin Wang, Tianrui Li:
  A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems. 12-18
• 
  Haibo Bao, Jinde Cao:
  Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay. 19-28

Neuroscience and Neuropsychology

• 
  Vassilis Cutsuridis:
  GABA inhibition modulates NMDA-R mediated spike timing dependent plasticity (STDP) in a biophysical model. 29-42
• 
  Yutaka Yamaguti, Shigeru Kuroda, Yasuhiro Fukushima, Minoru Tsukada, Ichiro Tsuda:
  A mathematical model for Cantor coding in the hippocampus. 43-53

Mathematical and Computational Analysis

• 
  Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
  Selecting salient objects in real scenes: An oscillatory correlation model. 54-64
• 
  Shangjiang Guo, Yuan Yuan:
  Delay-induced primary rhythmic behavior in a two-layer neural network. 65-74
• 
  Marcos Eduardo Valle, Peter Sussner:
  Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning. 75-90
• 
  Wei Wu, Jian Wang, Mingsong Cheng, Zhengxue Li:
  Convergence analysis of online gradient method for BP neural networks. 91-98
• 
  Jo-Anne Ting, Aaron D'Souza, Stefan Schaal:
  Bayesian robot system identification with input and output noise. 99-108

Engineering Design

• 
  Jongho Shin, H. Jin Kim, Youdan Kim:
  Adaptive support vector regression for UAV flight control. 109-120

Technology and Applications

• 
  Esther-Lydia Silva-Ramírez, Rafael Pino-Mejías, Manuel López-Coello, María-Dolores Cubiles-de-la-Vega:
  Missing value imputation on missing completely at random data using multilayer perceptrons. 121-129
• 
  Alexandra Scherbart, Tim W. Nattkemper:
  Looking inside self-organizing map ensembles with resampling and negative correlation learning. 130-141

Volume 24, Number 2, March 2011

Neural Networks Letters

• 
  João Sacramento, Andreas Wichert:
  Tree-like hierarchical associative memory structures. 143-147

Psychology and Cognitive Science

• 
  Satohiro Tajima, Masataka Watanabe:
  Acquisition of nonlinear forward optics in generative models: Two-stage "downside-up" learning for occluded vision. 148-158

Mathematical and Computational Analysis

• 
  Bei-Wei Lu, Lionel Pandolfo:
  Quasi-objective nonlinear principal component analysis. 159-170
• 
  Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
  Some comparisons of complexity in dictionary-based and linear computational models. 171-182
• 
  Masashi Sugiyama, Makoto Yamada, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe:
  Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. 183-198

Engineering Design

• 
  Razvan Pascanu, Herbert Jaeger:
  A neurodynamical model for working memory. 199-207

Technology and Applications

• 
  Gail A. Carpenter, Arun K. Ravindran:
  Searching the sky with CONFIGR-STARS. 208-216

Corrigendum

• 
  Karen E. Adolph, Lana Karasik, Catherine S. Tamis-LeMonda:
  Corrigendum to: "Using social information to guide action: Infants' locomotion over slippery slopes" [Neural Networks 23 (8-9) (2010) 1033-1042]. 217

Volume 24, Number 3, April 2011

Psychology and Cognitive Science

• 
  Sébastien Hélie, Robert Proulx, Bernard Lefebvre:
  Bottom-up learning of explicit knowledge using a Bayesian algorithm and a new Hebbian learning rule. 219-232

Neuroscience and Neuropsychology

• 
  Hatsuo Hayashi, Yukihiro Nonaka:
  Cooperation and competition between lateral and medial perforant path synapses in the dentate gyrus. 233-246
• 
  Cornelius Glackin, Liam P. Maguire, Liam McDaid, Heather M. Sayers:
  Receptive field optimisation and supervision of a fuzzy spiking neural network. 247-256
• 
  Richard Ivey, Daniel Bullock, Stephen Grossberg:
  A neuromorphic model of spatial lookahead planning. 257-266

Mathematical and Computational Analysis

• 
  Tatsuya Cho, Kentaro Katahira, Kazuo Okanoya, Masato Okada:
  Node perturbation learning without noiseless baseline. 267-272
• 
  Michael Kohler, Jens Mehnert:
  Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors. 273-279
• 
  Meiqin Liu, Senlin Zhang, Yaochu Jin:
  Multi-sensor optimal H_∞ fusion filters for delayed nonlinear intelligent systems based on a unified model. 280-290

Engineering Design

• 
  Mazad S. Zaveri, Dan W. Hammerstrom:
  Performance/price estimates for cortex-scale hardware: A design space exploration. 291-304

Neural Networks Letters

• 
  Bo Liu, Wenlian Lu, Tianping Chen:
  Global almost sure self-synchronization of Hopfield neural networks with randomly switching connections. 305-310

Volume 24, Number 4, May 2011

Psychology and Cognitive Science

• 
  Wataru Hinoshita, Hiroaki Arie, Jun Tani, Hiroshi G. Okuno, Tetsuya Ogata:
  Emergence of hierarchical structure mirroring linguistic composition in a recurrent neural network. 311-320

Neuroscience and Neuropsychology

• 
  Akihiro Funamizu, Ryohei Kanzaki, Hirokazu Takahashi:
  Distributed representation of tone frequency in highly decodable spatio-temporal activity in the auditory cortex. 321-332
• 
  Zhihua Wu, Aike Guo:
  A model study on the circuit mechanism underlying decision-making in Drosophila. 333-344

Mathematical and Computational Analysis

• 
  Hrushikesh N. Mhaskar:
  A generalized diffusion frame for parsimonious representation of functions on data defined manifolds. 345-359
• 
  Xiaoming Wang, Korris Fu-Lai Chung, Shitong Wang:
  Theoretical analysis for solution of support vector data description. 360-369
• 
  Eva Kaslik, Seenith Sivasundaram:
  Impulsive hybrid discrete-time Hopfield neural networks with delays and multistability analysis. 370-377
• 
  George A. Anastassiou:
  Multivariate sigmoidal neural network approximation. 378-386

Engineering Design

• 
  Ryotaro Kamimura:
  Selective information enhancement learning for creating interpretable representations in competitive learning. 387-405

Volume 24, Number 5, June 2011

Neuroscience and Neuropsychology

• 
  Sergiy Kochubey, Alexey V. Semyanov, Leonid Savtchenko:
  Network with shunting synapses as a non-linear frequency modulator. 407-416

Mathematical and Computational Analysis

• 
  Tyler McMillen, Patrick Simen, Sam Behseta:
  Hebbian learning in linear-nonlinear networks with tuning curves leads to near-optimal, multi-alternative decision making. 417-426
• 
  Zhengqiu Zhang, Kaiyu Liu:
  Existence and global exponential stability of a periodic solution to interval general bidirectional associative memory (BAM) neural networks with multiple delays on time scales. 427-439
• 
  Claudio Gallicchio, Alessio Micheli:
  Architectural and Markovian factors of echo state networks. 440-456
• 
  Zhengqiu Zhang, Yan Yang, Yesheng Huang:
  Global exponential stability of interval general BAM neural networks with reaction-diffusion terms and multiple time-varying delays. 457-465
• 
  Linda Ponta, Valentina Lanza, Michele Bonnin, Fernando Corinto:
  Emerging dynamics in neuronal networks of diffusively coupled hard oscillators. 466-475
• 
  Ling Jian, Zhonghang Xia, Xijun Liang, Chuanhou Gao:
  Design of a multiple kernel learning algorithm for LS-SVM by convex programming. 476-483

Engineering Design

• 
  Rupert C. J. Minnett, Andrew T. Smith, William C. Lennon Jr., Robert Hecht-Nielsen:
  Neural network tomography: Network replication from output surface geometry. 484-492

Technology and Applications

• 
  Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto:
  Learning parametric dynamic movement primitives from multiple demonstrations. 493-500
• 
  Vladimir Tomenko:
  Online dimensionality reduction using competitive learning and Radial Basis Function network. 501-511

Volume 24, Number 6, August 2011

• 
  Vassilis Cutsuridis, Tjitske Heida, Wlodek Duch, Kenji Doya:
  Neurocomputational models of brain disorders. 513-514
• 
  Roger D. Traub, Mark O. Cunningham, Miles A. Whittington:
  Chemical synaptic and gap junctional interactions between principal neurons: Partners in epileptogenesis. 515-525
• 
  Robert D. Vincent, Aaron C. Courville, Joelle Pineau:
  A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations. 526-537
• 
  Ming Luo, Jian Xu:
  Suppression of collective synchronization in a system of neural groups with washout-filter-aided feedback. 538-543
• 
  Quentin J. M. Huys, Michael Moutoussis, Jonathan Williams:
  Are computational models of any use to psychiatry? 544-551
• 
  Michele Migliore, Ignazio De Blasi, Domenico Tegolo, Rosanna Migliore:
  A modeling study suggesting how a reduction in the context-dependent input on CA1 pyramidal neurons could generate schizophrenic behavior. 552-559
• 
  Bernd Porr, Lynsey McCabe, Paolo di Prodi, Christoph Kolodziejski, Florentin Wörgötter:
  How feedback inhibition shapes spike-timing-dependent plasticity and its implications for recent Schizophrenia models. 560-567
• 
  X. Du, Ben H. Jansen:
  A neural network model of normal and abnormal auditory information processing. 568-574
• 
  Ahmed A. Moustafa, Mark A. Gluck:
  Computational cognitive models of prefrontal-striatal-hippocampal interactions in Parkinson's disease and schizophrenia. 575-591
• 
  Vassilis Cutsuridis:
  Origins of a repetitive and co-contractive biphasic pattern of muscle activation in Parkinson's disease. 592-601
• 
  Yixin Guo, Jonathan E. Rubin:
  Multi-site stimulation of subthalamic nucleus diminishes thalamocortical relay errors in a biophysical network model. 602-616
• 
  M. A. J. Lourens, Hil G. E. Meijer, Tjitske Heida, Enrico Marani, Stephan A. van Gils:
  The pedunculopontine nucleus as an additional target for deep brain stimulation. 617-630
• 
  Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire:
  A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. 631-645
• 
  Sridhar Krishnamurti, Lyle Drake, Justin King:
  Neural network modeling of central auditory dysfunction in Alzheimer's disease. 646-651
• 
  Rainer Stollhoff, Ingo Kennerknecht, Tobias Elze, Jürgen Jost:
  A computational model of dysfunctional facial encoding in congenital prosopagnosia. 652-664
• 
  Tom Foulsham, Jason J. S. Barton, Alan Kingstone, Richard J. Dewhurst, Geoffrey M. Underwood:
  Modeling eye movements in visual agnosia with a saliency map approach: Bottom-up guidance or top-down strategy? 665-677

Volume 24, Number 7, September 2011

Neuroscience and Neuropsychology

• 
  Gaetano Valenza, Giovanni Pioggia, Antonio Armato, Marcello Ferro, Enzo Pasquale Scilingo, Danilo De Rossi:
  A neuron-astrocyte transistor-like model for neuromorphic dressed neurons. 679-685
• 
  Stephen Grossberg, Karthik Srinivasan, Arash Yazdanbakhsh:
  On the road to invariant object recognition: How cortical area V2 transforms absolute to relative disparity during 3D vision. 686-692
• 
  Tadashi Yamazaki, Hidetoshi Ikeno, Yoshihiro Okumura, Shunji Satoh, Yoshimi Kamiyama, Yutaka Hirata, Keiichiro Inagaki, Akito Ishihara, Takayuki Kannon, Shiro Usui:
  Simulation Platform: A cloud-based online simulation environment. 693-698

Technology and Applications

• 
  Chuangyin Dang, Yabin Sun, Yuping Wang, Yang Yang:
  A deterministic annealing algorithm for the minimum concave cost network flow problem. 699-708
• 
  Rui Xu, Donald C. Wunsch II:
  BARTMAP: A viable structure for biclustering. 709-716
• 
  Hong-Gui Han, Qili Chen, Junfei Qiao:
  An efficient self-organizing RBF neural network for water quality prediction. 717-725

Mathematics and Computational Analysis

• 
  Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan:
  Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing. 726-734
• 
  Masashi Sugiyama, Taiji Suzuki, Yuta Itoh, Takafumi Kanamori, Manabu Kimura:
  Least-squares two-sample test. 735-751
• 
  Shaobo Lin, Feilong Cao, Zongben Xu:
  Essential rate for approximation by spherical neural networks. 752-758

Engineering Design

• 
  Xingjian Jing:
  An H_∞ control approach to robust learning of feedforward neural networks. 759-766
• 
  Kunihiko Fukushima:
  Increasing robustness against background noise: Visual pattern recognition by a neocognitron. 767-778

Neural Networks Letters

• 
  Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz:
  Evolutionary q-Gaussian radial basis function neural networks for multiclassification. 779-784

Book Reviews

• 
  Satoru Hayasaka:
  Book review. 785-786
• 
  Antje Ihlefeld:
  Book review. 787

Volume 24, Number 8, October 2011

• 
  Kostas I. Diamantaras, Lazaros S. Iliadis:
  Editorial for the special issue ICANN-2010. 789-790
• 
  Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
  A just-in-time adaptive classification system based on the intersection of confidence intervals rule. 791-800
• 
  Ravi Krishnan, Shivakesavan Ratnadurai, Deepak Subramanian, V. Srinivasa Chakravarthy, Maithreye Rengaswamy:
  Modeling the role of basal ganglia in saccade generation: Is the indirect pathway the explorer? 801-813
• 
  Anastasios Maronidis, Dimitris Bolis, Anastasios Tefas, Ioannis Pitas:
  Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets. 814-823
• 
  Marcin Blachnik, Wlodzislaw Duch:
  LVQ algorithm with instance weighting for generation of prototype-based rules. 824-830
• 
  Dimitrios H. Mantzaris, George C. Anastassopoulos, Adam V. Adamopoulos:
  Genetic algorithm pruning of probabilistic neural networks in medical disease estimation. 831-835
• 
  Lazaros S. Iliadis, Fotis P. Maris, Stavros Tachos:
  Soft computing techniques toward modeling the water supplies of Cyprus. 836-841
• 
  Harris Papadopoulos, Haris Haralambous:
  Reliable prediction intervals with regression neural networks. 842-851
• 
  Athanasios Voulodimos, Dimitrios I. Kosmopoulos, Galina V. Veres, Helmut Grabner, Luc Van Gool, Theodora A. Varvarigou:
  Online classification of visual tasks for industrial workflow monitoring. 852-860
• 
  Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens:
  A kernel-based framework to tensorial data analysis. 861-874
• 
  Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto:
  Estimating exogenous variables in data with more variables than observations. 875-880
• 
  Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
  Can dictionary-based computational models outperform the best linear ones? 881-887
• 
  Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero:
  A study of performance on microarray data sets for a classifier based on information theoretic learning. 888-896
• 
  Dominic Palmer-Brown, Chrisina Jayne:
  Snap-drift neural network for self-organisation and sequence learning. 897-905
• 
  Marko Tscherepanow, Marco Kortkamp, Marc Kammer:
  A hierarchical ART network for the stable incremental learning of topological structures and associations from noisy data. 906-916

Volume 24, Number 9, November 2011

• 
  Shin Ishii, Markus Diesmann, Kenji Doya:
  Multi-scale, multi-modal neural modeling and simulation. 917
• 
  Takayuki Kannon, Keiichiro Inagaki, Nilton Liuji Kamiji, Kouji Makimura, Shiro Usui:
  PLATO: Data-oriented approach to collaborative large-scale brain system modeling. 918-926
• 
  Tadashi Yamazaki, Hidetoshi Ikeno, Yoshihiro Okumura, Shunji Satoh, Yoshimi Kamiyama, Yutaka Hirata, Keiichiro Inagaki, Akito Ishihara, Takayuki Kannon, Shiro Usui:
  Reprint of: Simulation Platform: A cloud-based online simulation environment. 927-932
• 
  Michael Hawrylycz, Lydia Ng, Damon Page, John Morris, Christopher Lau, Sky Faber, Vance Faber, Susan Sunkin, Vilas Menon, Ed S. Lein, Allan Jones:
  Multi-scale correlation structure of gene expression in the brain. 933-942
• 
  Upinder S. Bhalla:
  Multiscale interactions between chemical and electric signaling in LTP induction, LTP reversal and dendritic excitability. 943-949
• 
  Jun Igarashi, Osamu Shouno, Tomoki Fukai, Hiroshi Tsujino:
  Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units. 950-960
• 
  Alexander D. Rast, Francesco Galluppi, Sergio Davies, Luis A. Plana, Cameron Patterson, Thomas Sharp, David R. Lester, Steve B. Furber:
  Concurrent heterogeneous neural model simulation on real-time neuromimetic hardware. 961-978
• 
  Seigo Nonaka, Honda Naoki, Shin Ishii:
  A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton. 979-989
• 
  Keiichiro Inagaki, Yutaka Hirata, Shiro Usui:
  A model-based theory on the signal transformation for microsaccade generation. 990-997
• 
  Stefan Lang, Vincent J. Dercksen, Bert J. Sakmann, Marcel Oberländer:
  Simulation of signal flow in 3D reconstructions of an anatomically realistic neural network in rat vibrissal cortex. 998-1011

Volume 24, Number 10, December 2011

Neural Networks Letters

• 
  Xiaoyang Liu, Tianping Chen, Jinde Cao, Wenlian Lu:
  Dissipativity and quasi-synchronization for neural networks with discontinuous activations and parameter mismatches. 1013-1021

Neuroscience and Neuropsychology

• 
  Shigeru Tanaka, Chan-Hong Moon, Mitsuhiro Fukuda, Seong-Gi Kim:
  Three-dimensional visual feature representation in the primary visual cortex. 1022-1035
• 
  Stephen Grossberg, Jeffrey E. Markowitz, Yongqiang Cao:
  On the road to invariant recognition: Explaining tradeoff and morph properties of cells in inferotemporal cortex using multiple-scale task-sensitive attentive learning. 1036-1049
• 
  Yongqiang Cao, Stephen Grossberg, Jeffrey E. Markowitz:
  How does the brain rapidly learn and reorganize view-invariant and position-invariant object representations in the inferotemporal cortex? 1050-1061
• 
  Dominic I. Standage, Martin Paré:
  Persistent storage capability impairs decision making in a biophysical network model. 1062-1073

Mathematical and Computational Analysis

• 
  Kazunori Iwata:
  An information-theoretic analysis of return maximization in reinforcement learning. 1074-1081
• 
  Simone Gori, Enrico Giora, Arash Yazdanbakhsh, Ennio Mingolla:
  A new motion illusion based on competition between two kinds of motion processing units: The Accordion Grating. 1082-1092
• 
  Arash Yazdanbakhsh, Simone Gori:
  Mathematical analysis of the Accordion Grating illusion: A differential geometry approach to introduce the 3D aperture problem. 1093-1101
• 
  Kazuho Watanabe, Masato Okada, Kazushi Ikeda:
  Divergence measures and a general framework for local variational approximation. 1102-1109
• 
  Longwen Huang, Yuwei Cui, Danke Zhang, Si Wu:
  Impact of noise structure and network topology on tracking speed of neural networks. 1110-1119
• 
  Alberto Llera, Marcel A. J. van Gerven, Vicenç Gómez, Ole Jensen, Hilbert J. Kappen:
  On the use of interaction error potentials for adaptive brain computer interfaces. 1120-1127

Engineering Design

• 
  Randa Herzallah, Miroslav Kárný:
  Fully probabilistic control design in an adaptive critic framework. 1128-1135
• 
  Jung Hoon Lee:
  Scaling-efficient in-situ training of CMOL CrossNet classifiers. 1136-1142
• 
  Hisako Takigawa-Imamura, Ikuko N. Motoike:
  Dendritic gates for signal integration with excitability-dependent responsiveness. 1143-1152