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ORCIDNeural Networks, Volume 23
Volume 23, Number 1, January 2010
- Kenji Doya
, Stephen Grossberg, John G. Taylor:
Editorial for 2010. 1
- 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
- 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
- Xiaohua Wang, S. N. Balakrishnan:
Optimal neurocontroller synthesis for impulse-driven systems. 125-134
- 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
- Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang:
A simple method for designing efficient small-world neural networks. 155-159
- 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
- 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
- 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
- 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
- Hongyang Liu, Yan Ou, Jun Hu, Tingting Liu:
Delay-dependent stability analysis for continuous-time BAM neural networks with Markovian jumping parameters. 315-321
- Tobias Larsen, Rafal Bogacz:
Initiation and termination of integration in a decision process. 322-333
- 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
- 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
- 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
- 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
- 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
- Michael Klein, Hans Kamp, Guenther Palm, Kenji Doya:
A computational neural model of goal-directed utterance selection. 592-606
- Magnus Jändel:
A neural support vector machine. 607-613
- 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
- Wei Wu, Bo Liu, Tianping Chen:
Analysis of firing behaviors in networks of pulse-coupled oscillators with delayed excitatory coupling. 783-788
- 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
- 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
- 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
- Stephen Grossberg:
Towards building a neural networks community. 1135-1138
- 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
- Yulia Sandamirskaya, Gregor Schöner:
An embodied account of serial order: How instabilities drive sequence generation. 1164-1179
- 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
- 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
- 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
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