Neural Networks, Volume 23

Volume 23, Number 1, January 2010

• 
  Kenji Doya, Stephen Grossberg, John G. Taylor:
  Editorial for 2010. 1

Neural Networks Letters

• 
  Ezequiel Morsella, Stephen C. Krieger, John A. Bargh:
  Minimal neuroanatomy for a conscious brain: Homing in on the networks constituting consciousness. 14-15
• 
  Nikola K. Kasabov:
  To spike or not to spike: A probabilistic spiking neuron model. 16-19

Mathematical and Computational Analysis

• 
  Sumio Watanabe:
  Equations of states in singular statistical estimation. 20-34
• 
  Keisuke Yamazaki, Miki Aoyagi, Sumio Watanabe:
  Asymptotic analysis of Bayesian generalization error with Newton diagram. 35-43
• 
  Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui:
  Dimensionality reduction for density ratio estimation in high-dimensional spaces. 44-59
• 
  Pei-Yi Hao:
  New support vector algorithms with parametric insensitive/margin model. 60-73
• 
  Ângelo Cardoso, Andreas Wichert:
  Neocognitron and the Map Transformation Cascade. 74-88
• 
  Ke-Lin Du:
  Clustering: A neural network approach. 89-107
• 
  Jianye Sun:
  Local coupled feedforward neural network. 108-113
• 
  C. A. S. Batista, Sergio Roberto Lopes, Ricardo L. Viana, Antonio M. Batista:
  Delayed feedback control of bursting synchronization in a scale-free neuronal network. 114-124

Engineering and Design

• 
  Xiaohua Wang, S. N. Balakrishnan:
  Optimal neurocontroller synthesis for impulse-driven systems. 125-134

Technology and Applications

• 
  Furao Shen, Akihito Sudo, Osamu Hasegawa:
  An online incremental learning pattern-based reasoning system. 135-143
• 
  Gonzalo Pajares, María Guijarro, Angela Ribeiro:
  A Hopfield Neural Network for combining classifiers applied to textured images. 144-153

Volume 23, Number 2, March 2010

Neural Networks Letter

• 
  Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang:
  A simple method for designing efficient small-world neural networks. 155-159

Neuroscience and Neuropsychology

• 
  Florian Raudies, Heiko Neumann:
  A neural model of the temporal dynamics of figure-ground segregation in motion perception. 160-176
• 
  Carl H. Berdahl:
  A neural network model of Borderline Personality Disorder. 177-188

Mathematical and Computational Analysis

• 
  Lili Wang, Wenlian Lu, Tianping Chen:
  Coexistence and local stability of multiple equilibria in neural networks with piecewise linear nondecreasing activation functions. 189-200
• 
  Gan Huang, Jinde Cao:
  Delay-dependent multistability in recurrent neural networks. 201-209
• 
  Yonmook Park:
  Optimal and robust design of brain-state-in-a-box neural associative memories. 210-218
• 
  Kentaro Katahira, Tatsuya Cho, Kazuo Okanoya, Masato Okada:
  Optimal node perturbation in linear perceptrons with uncertain eligibility trace. 219-225
• 
  Md. Nurul Haque Mollah, Nayeema Sultana, Mihoko Minami, Shinto Eguchi:
  Robust extraction of local structures by the minimum beta-divergence method. 226-238
• 
  Ilya Sutskever, Geoffrey E. Hinton:
  Temporal-Kernel Recurrent Neural Networks. 239-243
• 
  Georg Holzmann, Helmut Hauser:
  Echo state networks with filter neurons and a delay&sum readout. 244-256
• 
  Junbin Gao, Paul Wing Hing Kwan, Daming Shi:
  Sparse kernel learning with LASSO and Bayesian inference algorithm. 257-264

Engineering and Design

• 
  Gregory P. Amis, Gail A. Carpenter:
  Self-supervised ARTMAP. 265-282
• 
  Robert J. May, Holger R. Maier, Graeme C. Dandy:
  Data splitting for artificial neural networks using SOM-based stratified sampling. 283-294

Technology and Applications

• 
  Xindi Cai, Ganesh K. Venayagamoorthy, Donald C. Wunsch II:
  Evolutionary swarm neural network game engine for Capture Go. 295-305
• 
  Thomas E. Portegys:
  A maze learning comparison of Elman, long short-term memory, and Mona neural networks. 306-313

Volume 23, Number 3, April 2010

Neural Networks Letter

• 
  Hongyang Liu, Yan Ou, Jun Hu, Tingting Liu:
  Delay-dependent stability analysis for continuous-time BAM neural networks with Markovian jumping parameters. 315-321

Psychology and Cognitive Science

• 
  Tobias Larsen, Rafal Bogacz:
  Initiation and termination of integration in a decision process. 322-333

Mathematical and Computational Analysis

• 
  Jianye Sun:
  Neural belief network. 334-340
• 
  Michiel Hermans, Benjamin Schrauwen:
  Memory in linear recurrent neural networks in continuous time. 341-355
• 
  Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano:
  Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method. 356-364
• 
  Xinjun Peng:
  TSVR: An efficient Twin Support Vector Machine for regression. 365-372
• 
  Li Zhang, Weida Zhou:
  On the sparseness of 1-norm support vector machines. 373-385

Technology and Applications

• 
  Henrique S. Hippert, James W. Taylor:
  An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting. 386-395
• 
  Youshen Xia, Mohamed S. Kamel, Henry Leung:
  A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method. 396-405
• 
  Julián Luengo, Salvador García, Francisco Herrera:
  A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method. 406-418
• 
  F. J. Rodríguez-Rajo, Gonzalo Astray, J. A. Ferreiro-Lage, M. J. Aira, M. V. Jato-Rodriguez, Juan C. Mejuto:
  Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate region. 419-425

Engineering Design

• 
  Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
  Split quaternion nonlinear adaptive filtering. 426-434
• 
  Gail A. Carpenter, Chaitanya Sai Gaddam:
  Biased ART: A neural architecture that shifts attention toward previously disregarded features following an incorrect prediction. 435-451
• 
  Jimmy Or:
  A hybrid CPG-ZMP control system for stable walking of a simulated flexible spine humanoid robot. 452-460

Letter to the Editors

• 
  Amparo Fúster-Sabater, Maria Eugenia Pazo-Robles, Pino Caballero-Gil:
  A simple linearization of the self-shrinking generator by means of cellular automata. 461-464

Volume 23, Number 4, May 2010

• 
  Vera Kurková, Roman Neruda, Jan Koutník:
  Editorial. 465
• 
  Nello Cristianini:
  Are we there yet? 466-470
• 
  Alexey Minin, Marina Velikova, Bernhard Lang, Hennie Daniels:
  Comparison of universal approximators incorporating partial monotonicity by structure. 471-475
• 
  Banchar Arnonkijpanich, Alexander Hasenfuss, Barbara Hammer:
  Local matrix learning in clustering and applications for manifold visualization. 476-486
• 
  Krzysztof Dobosz, Wlodzislaw Duch:
  Understanding neurodynamical systems via Fuzzy Symbolic Dynamics. 487-496
• 
  Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm:
  Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training. 497-509
• 
  Hong Zhang, Masumi Ishikawa:
  The performance verification of an evolutionary canonical particle swarm optimizer. 510-516
• 
  Simeon A. Bamford, Alan F. Murray, David J. Willshaw:
  Synaptic rewiring for topographic mapping and receptive field development. 517-527
• 
  Kunihiko Fukushima:
  Neural network model for completing occluded contours. 528-540
• 
  Marek Grzes, Daniel Kudenko:
  Online learning of shaping rewards in reinforcement learning. 541-550
• 
  Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber:
  Parameter-exploring policy gradients. 551-559
• 
  Stanislav Slusny, Roman Neruda, Petra Vidnerová:
  Comparison of behavior-based and planning techniques on the small robot maze exploration problem. 560-567
• 
  Pavel Kordík, Jan Koutník, Jan Drchal, Oleg Kovárík, Miroslav Cepek, Miroslav Snorek:
  Meta-learning approach to neural network optimization. 568-582

Volume 23, Number 5, June 2010

Neural Networks Letters

• 
  Bipul Luitel, Ganesh K. Venayagamoorthy:
  Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems. 583-586
• 
  Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy:
  Adaptive critics for dynamic optimization. 587-591

Psychology and Cognitive Science

• 
  Michael Klein, Hans Kamp, Guenther Palm, Kenji Doya:
  A computational neural model of goal-directed utterance selection. 592-606

Neuroscience and Neuropsychology

• 
  Magnus Jändel:
  A neural support vector machine. 607-613

Mathematical and Computational Analysis

• 
  Cristian Filici:
  Error estimation in the neural network solution of ordinary differential equations. 614-617
• 
  Jianjun Wang, Zongben Xu:
  New study on neural networks: the essential order of approximation. 618-624
• 
  Jun Namikawa, Jun Tani:
  Learning to imitate stochastic time series in a compositional way by chaos. 625-638
• 
  Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama:
  Efficient exploration through active learning for value function approximation in reinforcement learning. 639-648
• 
  Pierre Baldi, Laurent Itti:
  Of bits and wows: A Bayesian theory of surprise with applications to attention. 649-666

Volume 23, Number 6, August 2010

• 
  Tomoki Fukai, Yuji Ikegaya, Stefan Rotter:
  Analysis and modeling of massively parallel neural signals - 2010 Special Issue. 667-668
• 
  Daisuke Ishikawa, Naoya Takahashi, Takuya Sasaki, Atsushi Usami, Norio Matsuki, Yuji Ikegaya:
  Fluorescent pipettes for optically targeted patch-clamp recordings. 669-672
• 
  Jamie L. Reed, Jon H. Kaas:
  Statistical analysis of large-scale neuronal recording data. 673-684
• 
  Luca Leonardo Bologna, Valentina Pasquale, Matteo Garofalo, Mauro Gandolfo, Pieter Laurens Baljon, Alessandro Maccione, Sergio Martinoia, Michela Chiappalone:
  Investigating neuronal activity by SPYCODE multi-channel data analyzer. 685-697
• 
  Dong Cui, Xianzeng Liu, You Wan, Xiaoli Li:
  Estimation of genuine and random synchronization in multivariate neural series. 698-704
• 
  Sebastien Louis, Christian Borgelt, Sonja Grün:
  Complexity distribution as a measure for assembly size and temporal precision. 705-712
• 
  Robin A. A. Ince, Riccardo Senatore, Ehsan Arabzadeh, Fernando Montani, Mathew E. Diamond, Stefano Panzeri:
  Information-theoretic methods for studying population codes. 713-727
• 
  Sonja B. Hofer, Thomas D. Mrsic-Flogel, Domonkos Horvath, Benedikt Grothe, Nicholas A. Lesica:
  Optimization of population decoding with distance metrics. 728-732
• 
  Hidekazu Kaneko, Hiroshi Tamura, Shunta Tate, Takahiro Kawashima, Shinya S. Suzuki, Ichiro Fujita:
  Multineuronal vectorization is more efficient than time-segmental vectorization for information extraction from neuronal activities in the inferior temporal cortex. 733-742
• 
  Narihisa Matsumoto, Shotaro Akaho, Yasuko Sugase-Miyamoto, Masato Okada:
  Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reduction. 743-751
• 
  Ken Nakae, Yukito Iba, Yasuhiro Tsubo, Tomoki Fukai, Toshio Aoyagi:
  Bayesian estimation of phase response curves. 752-763
• 
  Shigeru Shinomoto:
  Fitting a stochastic spiking model to neuronal current injection data. 764-769
• 
  Liang Chen, Wei Xue, Naoyuki Tokuda:
  Classification of 2-dimensional array patterns: Assembling many small neural networks is better than using a large one. 770-781

Volume 23, Number 7, September 2010

Neural Networks Letter

• 
  Wei Wu, Bo Liu, Tianping Chen:
  Analysis of firing behaviors in networks of pulse-coupled oscillators with delayed excitatory coupling. 783-788

Neuroscience and Neuropsychology

• 
  Yash P. Gad, Thomas J. Anastasio:
  Simulating the shaping of the fastigial deep nuclear saccade command by cerebellar Purkinje cells. 789-804
• 
  Marat U. Akhmet, Duygu Arugaslan, Enes Yilmaz:
  Stability analysis of recurrent neural networks with piecewise constant argument of generalized type. 805-811

Mathematical and Computational Analysis

• 
  Hong Chen, Luoqing Li, Jiangtao Peng:
  Semi-supervised learning based on high density region estimation. 812-818
• 
  Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov:
  Evolving spiking neural networks for audiovisual information processing. 819-835
• 
  Isao T. Tokuda, Cheol E. Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer:
  The role of chaotic resonance in cerebellar learning. 836-842
• 
  Takafumi Kanamori:
  Deformation of log-likelihood loss function for multiclass boosting. 843-864
• 
  Xiangyu Kong, Changhua Hu, Chongzhao Han:
  A self-stabilizing MSA algorithm in high-dimension data stream. 865-871
• 
  Changjin Xu, Xianhua Tang, Maoxin Liao:
  Frequency domain analysis for bifurcation in a simplified tri-neuron BAM network model with two delays. 872-880

Engineering Design

• 
  Yuriy V. Pershin, Massimiliano Di Ventra:
  Experimental demonstration of associative memory with memristive neural networks. 881-886
• 
  Rodrigo T. Peres, Carlos Eduardo Pedreira:
  A new local-global approach for classification. 887-891
• 
  Mahmood Amiri, Hamed Davande, Alireza Sadeghian, Sylvain Chartier:
  Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks. 892-904
• 
  Sylvie Renaud, Jean Tomas, Noëlle Lewis, Yannick Bornat, Adel Daouzli, Michael Rudolph, Alain Destexhe, Sylvain Saïghi:
  PAX: A mixed hardware/software simulation platform for spiking neural networks. 905-916
• 
  Cristiano Cervellera, Danilo Macciò, Marco Muselli:
  Efficient global maximum likelihood estimation through kernel methods. 917-925
• 
  Kunihiko Fukushima:
  Neocognitron trained with winner-kill-loser rule. 926-938

Volume 23, Numbers 8-9, October - November 2010

• 
  Stephen Grossberg, Andrew N. Meltzoff, Javier R. Movellan, Nora S. Newcombe:
  Social cognition: From babies to robots. 939
• 
  Stephen Grossberg, Tony Vladusich:
  How do children learn to follow gaze, share joint attention, imitate their teachers, and use tools during social interactions? 940-965
• 
  Andrew N. Meltzoff, Rechele Brooks, Aaron P. Shon, Rajesh P. N. Rao:
  "Social" robots are psychological agents for infants: A test of gaze following. 966-972
• 
  Nicholas J. Butko, Javier R. Movellan:
  Detecting contingencies: An infomax approach. 973-984
• 
  Peter Mundy, William Jarrold:
  Infant joint attention, neural networks and social cognition. 985-997
• 
  Cordula Vesper, Stephen A. Butterfill, Günther Knoblich, Natalie Sebanz:
  A minimal architecture for joint action. 998-1003
• 
  Daniel M. Messinger, Paul Ruvolo, Naomi V. Ekas, Alan Fogel:
  Applying machine learning to infant interaction: The development is in the details. 1004-1016
• 
  Peter J. Marshall, Cédric A. Bouquet, Amanda L. Thomas, Thomas F. Shipley:
  Motor contagion in young children: Exploring social influences on perception-action coupling. 1017-1025
• 
  Susan J. Hespos, Stacy R. Grossman, Megan M. Saylor:
  Infants' ability to parse continuous actions: Further evidence. 1026-1032
• 
  Karen E. Adolph, Lana Karasik, Catherine S. Tamis-LeMonda:
  Using social information to guide action: Infants' locomotion over slippery slopes. 1033-1042
• 
  Mark A. Sabbagh, Sydney F. R. Hopkins, Jeannette E. Benson, J. Randall Flanagan:
  Conceptual change and preschoolers' theory of mind: Evidence from load-force adaptation. 1043-1050
• 
  Andreas Roepstorff, Jörg Niewöhner, Stefan Beck:
  Enculturing brains through patterned practices. 1051-1059
• 
  David M. Sobel, David W. Buchanan, Jesse Butterfield, Odest Chadwicke Jenkins:
  Interactions between causal models, theories, and social cognitive development. 1060-1071
• 
  Helen Tager-Flusberg:
  The origins of social impairments in autism spectrum disorder: Studies of infants at risk. 1072-1076
• 
  Kai Vogeley, Gary Bente:
  "Artificial humans": Psychology and neuroscience perspectives on embodiment and nonverbal communication. 1077-1090
• 
  Kara D. Sage, Dare A. Baldwin:
  Social gating and pedagogy: Mechanisms for learning and implications for robotics. 1091-1098
• 
  Rachel L. Severson, Stephanie M. Carlson:
  Behaving as or behaving as if? Children's conceptions of personified robots and the emergence of a new ontological category. 1099-1103
• 
  Nathan P. Koenig, Leila Takayama, Maja J. Mataric:
  Communication and knowledge sharing in human-robot interaction and learning from demonstration. 1104-1112
• 
  Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. Meltzoff:
  Self discovery enables robot social cognition: Are you my teacher? 1113-1124
• 
  Giorgio Metta, Lorenzo Natale, Francesco Nori, Giulio Sandini, David Vernon, Luciano Fadiga, Claes von Hofsten, Kerstin Rosander, Manuel Lopes, José Santos-Victor, Alexandre Bernardino, Luis Montesano:
  The iCub humanoid robot: An open-systems platform for research in cognitive development. 1125-1134

Volume 23, Number 10, December 2010

Editorial

• 
  Stephen Grossberg:
  Towards building a neural networks community. 1135-1138

Neuroscience and Neuropsychology

• 
  Dustin Connor, Murray Shanahan:
  A computational model of a global neuronal workspace with stochastic connections. 1139-1154
• 
  Adnan Khashman:
  Modeling cognitive and emotional processes: A novel neural network architecture. 1155-1163

Psychology and Cognitive Science

• 
  Yulia Sandamirskaya, Gregor Schöner:
  An embodied account of serial order: How instabilities drive sequence generation. 1164-1179

Mathematical and Computational Analysis

• 
  Toru Aonishi, Yasunao Komatsu, Koji Kurata:
  Self-consistent signal-to-noise analysis of Hopfield model with unit replacement. 1180-1186
• 
  R. Jessop, Sue Ann Campbell:
  Approximating the stability region of a neural network with a general distribution of delays. 1187-1201
• 
  He Huang, Gang Feng, Jinde Cao:
  State estimation for static neural networks with time-varying delay. 1202-1207
• 
  Ezequiel López-Rubio:
  Probabilistic self-organizing maps for qualitative data. 1208-1225

Technology and Applications

• 
  Jukka-Pekka Kauppi, Kalle Martikainen, Ulla Ruotsalainen:
  Hierarchical classification of dynamically varying radar pulse repetition interval modulation patterns. 1226-1237
• 
  Ricardo de A. Araújo:
  Hybrid intelligent methodology to design translation invariant morphological operators for Brazilian stock market prediction. 1238-1251
• 
  Bing Lu, Alireza A. Dibazar, Theodore W. Berger:
  Noise-robust acoustic signature recognition using nonlinear Hebbian learning. 1252-1263
• 
  Hengjie Song, Chunyan Miao, Zhiqi Shen, Roel Wuyts, Maja D'Hondt, Francky Catthoor:
  Design of fuzzy cognitive maps using neural networks for predicting chaotic time series. 1264-1275

Engineering Design

• 
  Yongping Zhao, Jianguo Sun:
  A fast method to approximately train hard support vector regression. 1276-1285
• 
  Hua-Liang Wei, Stephen A. Billings, Yifan Zhao, Lingzhong Guo:
  An adaptive wavelet neural network for spatio-temporal system identification. 1286-1299