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ORCIDNeural Networks, Volume 21
Volume 21, Number 1, January 2008
- Kenji Doya
, Stephen Grossberg, John G. Taylor:
Neural Networks goes electronic at twenty! 1-2 - Tadahiro Taniguchi, Tetsuo Sawaragi:
Incremental acquisition of multiple nonlinear forward models based on differentiation process of schema model. 13-27 - L. Sivridis, Athanasia Kotini, Photios A. Anninos:
The process of learning in neural net models with Poisson and Gauss connectivities. 28-35
- Nikolay Y. Nikolaev, Lilian M. de Menezes:
Sequential Bayesian kernel modelling with non-Gaussian noise. 36-47 - Katsuyuki Hagiwara, Kenji Fukumizu:
Relation between weight size and degree of over-fitting in neural network regression. 48-58 - Krzysztof Patan:
Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks. 59-64
- Stephan Kirstein, Heiko Wersing, Edgar Körner:
A biologically motivated visual memory architecture for online learning of objects. 65-77
- Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso:
The unimodal model for the classification of ordinal data. 78-91 - Holger Fröhlich, Andreas Hoenselaar, Jonas Eichner, Holger Rosenbrock, Gerald Birk, Andreas Zell:
Automated classification of the behavior of rats in the forced swimming test with support vector machines. 92-101 - Shiwei Wang, D. L. Yu:
Adaptive RBF network for parameter estimation and stable air-fuel ratio control. 102-112
Volume 21, Numbers 2-3, March-April 2008
- David G. Brown, Jennie Si, Ron Sun:
Special Issue on Advances in Neural Networks Research: IJCNN'07. 113
- Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara:
Threshold control of chaotic neural network. 114-121 - Valentina Lanza, Fernando Corinto, Marco Gilli:
On the study of cellular nonlinear networks via amplitude and phase dynamics. 122-129 - Gerardo Noriega:
Modeling propagation delays in the development of SOMs - a parallel with abnormal brain growth in autism. 130-139 - Hiroyuki Torikai, Atsuo Funew, Toshimichi Saito:
Digital spiking neuron and its learning for approximation of various spike-trains. 140-149 - Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue:
Multilayer in-place learning networks for modeling functional layers in the laminar cortex. 150-159 - Hujun Yin:
On multidimensional scaling and the embedding of self-organising maps. 160-169
- Carlos Alzate, Johan A. K. Suykens:
A regularized kernel CCA contrast function for ICA. 170-181 - Rui Chang, Wilfried Brauer, Martin Stetter:
Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference. 182-192 - Eiji Mizutani, Stuart E. Dreyfus:
Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature. 193-203 - Vladimir Pestov:
An axiomatic approach to intrinsic dimension of a dataset. 204-213 - Yiming Wu, Xiuwen Liu, Washington Mio:
Learning representations for object classification using multi-stage optimal component analysis. 214-221 - Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe:
A new nonlinear similarity measure for multichannel signals. 222-231 - Zhirong Yang, Jorma Laaksonen:
Principal whitened gradient for information geometry. 232-240
- Aydin Farajidavar, Sohrab Saeb, Khosrow Behbehani:
Incorporating synaptic time-dependent plasticity and dynamic synapse into a computational model of wind-up. 241-249 - José Fernando Fontanari, Leonid I. Perlovsky:
How language can help discrimination in the Neural Modelling Fields framework. 250-256 - Walter J. Freeman:
A pseudo-equilibrium thermodynamic model of information processing in nonlinear brain dynamics. 257-265 - Nikola K. Kasabov, Vishal Jain, Lubica Benuskova:
Integrating evolving brain-gene ontology and connectionist-based system for modeling and knowledge discovery. 266-275 - Randal A. Koene, Michael E. Hasselmo:
Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions CA3 and CA1. 276-288 - Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouchourelou:
Modeling a flexible representation machinery of human concept learning. 289-302 - Colin Molter, Yoko Yamaguchi:
Impact of temporal coding of presynaptic entorhinal cortex grid cells on the formation of hippocampal place fields. 303-310 - Gualtiero Piccinini:
Some neural networks compute, others don't. 311-321 - Adam Ponzi:
Dynamical model of salience gated working memory, action selection and reinforcement based on basal ganglia and dopamine feedback. 322-330 - Kazuhiro Shimonomura, Takayuki Kushima, Tetsuya Yagi:
Binocular robot vision emulating disparity computation in the primary visual cortex. 331-340 - Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan:
Improved mapping of information distribution across the cortical surface with the support vector machine. 341-348
- Hisashi Aomori, Tsuyoshi Otake, Nobuaki Takahashi, Mamoru Tanaka:
Sigma-delta cellular neural network for 2D modulation. 349-357 - Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo:
Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming. 358-367 - Angelo Ciaramella, Sergio Cocozza, Francesco Iorio, Gennaro Miele, Francesco Napolitano, Michele Pinelli, Giancarlo Raiconi, Roberto Tagliaferri:
Interactive data analysis and clustering of genomic data. 368-378 - Alexandru George Floares:
A reverse engineering algorithm for neural networks, applied to the subthalamopallidal network of basal ganglia. 379-386 - Brandon D. Gallas, David G. Brown:
Reader studies for validation of CAD systems. 387-397 - Javid J. Huseynov, Shankar B. Baliga, Alan Widmer, Zvi Boger:
An adaptive method for industrial hydrocarbon flame detection. 398-405 - Qingshan Liu, Jun Wang:
Two k-winners-take-all networks with discontinuous activation functions. 406-413 - Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, M. S. Hane Aung, Sylvie Chabaud, Thomas Bachelot, David Pérol, Thérèse Gargi, Valérie Bourdès, Stéphane Bonnevay, Sylvie Négrier:
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. 414-426 - Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo, Jay A. Baker, Georgia D. Tourassi:
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. 427-436 - Fabian Ojeda, Johan A. K. Suykens, Bart De Moor:
Low rank updated LS-SVM classifiers for fast variable selection. 437-449 - Xiang Peng, Irwin King:
Robust BMPM training based on second-order cone programming and its application in medical diagnosis. 450-457 - Danil V. Prokhorov:
Toyota Prius HEV neurocontrol and diagnostics. 458-465 - Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Harley:
Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and multiple FACTS devices. 466-475 - Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski:
Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers. 476-483 - Dipti Srinivasan, Vishal Sharma, Kar-Ann Toh:
Reduced multivariate polynomial-based neural network for automated traffic incident detection. 484-492 - Bryan D. Thompson, Mahmood R. Azimi-Sadjadi:
Iterative multi-channel coherence analysis with applications. 493-501 - Yu-Chiang Frank Wang, David P. Casasent:
New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. 502-510
- Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout:
Compact hardware liquid state machines on FPGA for real-time speech recognition. 511-523 - Jayawan H. B. Wijekoon, Piotr Dudek:
Compact silicon neuron circuit with spiking and bursting behaviour. 524-534
- Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Hendrik L. Tolman, Alexei A. Belochitski:
Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors. 535-543
- Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. 544-550
Volume 21, Number 4, May 2008
- Stefan Schaal, Yoshihiko Nakamura, Paolo Dario:
Special issue on robotics and neuroscience. 551-552 - Jeffrey L. McKinstry, Anil K. Seth, Gerald M. Edelman, Jeffrey L. Krichmar:
Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices. 553-561 - Christian Faubel, Gregor Schöner:
Learning to recognize objects on the fly: A neurally based dynamic field approach. 562-576 - Renaud Ronsse, Philippe Lefèvre, Rodolphe Sepulchre:
Robotics and neuroscience: A rhythmic interaction. 577-583 - Jun Tani, Ryunosuke Nishimoto, Rainer W. Paine:
Achieving "organic compositionality" through self-organization: Reviews on brain-inspired robotics experiments. 584-603 - Christian Smith, Mattias Bratt, Henrik I. Christensen:
Teleoperation for a ball-catching task with significant dynamics. 604-620 - Arash Mahboobin, Patrick J. Loughlin, Mark S. Redfern, Stuart O. Anderson, Christopher G. Atkeson, Jessica K. Hodgins:
Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds. 621-627 - Benoît Girard, Nicolas Tabareau, Quang-Cuong Pham, Alain Berthoz, Jean-Jacques E. Slotine:
Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection. 628-641 - Auke Jan Ijspeert:
Central pattern generators for locomotion control in animals and robots: A review. 642-653 - Samuel K. Au, Max Berniker, Hugh M. Herr:
Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits. 654-666 - Christophe Maufroy, Hiroshi Kimura, Kunikatsu Takase:
Towards a general neural controller for quadrupedal locomotion. 667-681 - Jan Peters, Stefan Schaal:
Reinforcement learning of motor skills with policy gradients. 682-697
Volume 21, Number 5, June 2008
- William Gnadt, Stephen Grossberg:
SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal. 699-758 - Giuseppe Emiliano La Cara, Mauro Ursino:
A model of contour extraction including multiple scales, flexible inhibition and attention. 759-773 - Kunihiko Fukushima:
Extraction of visual motion and optic flow. 774-785
- Peter Auer, Harald Burgsteiner, Wolfgang Maass:
A learning rule for very simple universal approximators consisting of a single layer of perceptrons. 786-795
Volume 21, Number 6, August 2008
- Danilo P. Mandic, Wlodzislaw Duch:
Preface. 797-798 - Yoshiyuki Asai, Apratim Guha, Alessandro E. P. Villa:
Deterministic neural dynamics transmitted through neural networks. 799-809 - Francisco J. Veredas, Héctor Mesa, Luis A. Martínez:
Imprecise correlated activity in self-organizing maps of spiking neurons. 810-816 - Elisa Magosso, Cristiano Cuppini, Andrea Serino, Giuseppe Di Pellegrino, Mauro Ursino:
A theoretical study of multisensory integration in the superior colliculus by a neural network model. 817-829 - Simon McGregor:
Further results in multiset processing with neural networks. 830-837 - Jirí Grim, Jan Hora:
Iterative principles of recognition in probabilistic neural networks. 838-846 - Ying Wu, Colin Fyfe, Pei Ling Lai:
Two forms of immediate reward reinforcement learning for exploratory data analysis. 847-855 - Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun:
Combining experts in order to identify binding sites in yeast and mouse genomic data. 856-861 - Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Event detection and localization for small mobile robots using reservoir computing. 862-871 - Giuliano Grossi, Federico Pedersini:
FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization. 872-879
Volume 21, Number 7, September 2008
- Vito Logar, Ales Belic, Blaz Koritnik, Simon Brezan, Janez Zidar, Rihard Karba, Drago Matko:
Using ANNs to predict a subject's response based on EEG traces. 881-887 - Simon M. Stringer, Edmund T. Rolls:
Learning transform invariant object recognition in the visual system with multiple stimuli present during training. 888-903 - Iván Olier, Alfredo Vellido:
Advances in clustering and visualization of time series using GTM through time. 904-913 - Jiann-Ming Wu, Meng-Hong Chen, Zheng-Han Lin:
Independent component analysis based on marginal density estimation using weighted Parzen windows. 914-924 - Sven Buchholz, Gerald Sommer:
On Clifford neurons and Clifford multi-layer perceptrons. 925-935 - Riadh Mtibaa, Masanori Idesawa, Yutaka Sakaguchi, Fumihiko Ishida:
A computational model of perceptual grouping and 3D surface completion in the mime effect. 936-944 - Sébastien Issanchou, Jean-Pierre Gauchi:
Computer-aided optimal designs for improving neural network generalization. 945-950 - César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz:
Multilogistic regression by means of evolutionary product-unit neural networks. 951-961 - Jacques Demongeot, Sylvain Sené:
Boundary conditions and phase transitions in neural networks. Simulation results. 962-970 - Jacques Demongeot, Christelle Jézéquel, Sylvain Sené:
Boundary conditions and phase transitions in neural networks. Theoretical results. 971-979 - Kenji Nagata, Sumio Watanabe:
Asymptotic behavior of exchange ratio in exchange Monte Carlo method. 980-988 - Haikun Wei, Shun-ichi Amari:
Dynamics of learning near singularities in radial basis function networks. 989-1005 - J. Manuel Cano Izquierdo, Julio Ibarrola, Miguel Pinzolas, Miguel Almonacid:
dNSP: A biologically inspired dynamic Neural network approach to Signal Processing. 1006-1019 - Koichi Odajima, Yoichi Hayashi, Gong Tianxia, Rudy Setiono:
Greedy rule generation from discrete data and its use in neural network rule extraction. 1020-1028 - Nadia Mammone, Francesco Carlo Morabito:
Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy. 1029-1040 - Sébastien Hélie:
Energy minimization in the nonlinear dynamic recurrent associative memory. 1041-1044
Volume 21, Number 8, October 2008
- Jan G. Bjaalie, Sten Grillner, Shiro Usui:
Neuroinformatics: Databases, tools, and computational modeling for studying the nervous system. 1045-1046 - Tomoki Kazawa, Hidetoshi Ikeno, Ryohei Kanzaki:
Development and application of a neuroinformatics environment for neuroscience and neuroethology. 1047-1055 - Akira Sato, Yukiko Sekine, Chihiro Saruta, Hirozumi Nishibe, Noriyuki Morita, Yumi Sato, Tetsushi Sadakata, Yo Shinoda, Toshio Kojima, Teiichi Furuichi:
Cerebellar development transcriptome database (CDT-DB): Profiling of spatio-temporal gene expression during the postnatal development of mouse cerebellum. 1056-1069 - Andreas V. M. Herz, Ralph Meier, Martin P. Nawrot, Willi Schiegel, Tiziano Zito:
G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics. 1070-1075 - Martyn Fletcher, Bojian Liang, Leslie Smith, Alastair Knowles, Thomas W. Jackson, Mark Jessop, Jim Austin:
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project. 1076-1084 - Ralph Meier, Ulrich Egert, Ad Aertsen, Martin P. Nawrot:
FIND - A unified framework for neural data analysis. 1085-1093 - Jie Cui, Lei Xu, Steven L. Bressler, Mingzhou Ding, Hualou Liang:
BSMART: A Matlab/C. 1094-1104 - Xiaoli Li, John G. R. Jefferys, John Fox, Xin Yao:
Neuronal population oscillations of rat hippocampus during epileptic seizures. 1105-1111 - Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Shinji Kakei, Lauren Sergio, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal:
Variational Bayesian least squares: An application to brain-machine interface data. 1112-1131 - Gleb Bezgin, Egon Wanke, Antje Krumnack, Rolf Kötter:
Deducing logical relationships between spatially registered cortical parcellations under conditions of uncertainty. 1132-1145 - Brad Aisa, Brian Mingus, Randy O'Reilly:
The Emergent neural modeling system. 1146-1152 - Ruggero Scorcioni, David J. Hamilton, Giorgio A. Ascoli:
Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit. 1153-1163 - Marc de Kamps, Volker Baier, Johannes Drever, Melanie Dietz, Lorenz Mösenlechner, Frank van der Velde:
The state of MIIND. 1164-1181 - Wentao Huang, Licheng Jiao, Jianhua Jia:
Modeling contextual modulation in the primary visual cortex. 1182-1196 - Kazuhiro Shimonomura, Tetsuya Yagi:
Neuromorphic VLSI vision system for real-time texture segregation. 1197-1204 - Antoine Naud, Shiro Usui:
Exploration of a collection of documents in neuroscience and extraction of topics by clustering. 1205-1211
Volume 21, Number 9, November 2008
- George Mengov, Henrik Egbert, Stefan Pulov, Kalin Georgiev:
Emotional balances in experimental consumer choices. 1213-1219 - Alexandra Laflamme-Sanders, Mu Zhu:
LAGO on the unit sphere. 1220-1223 - Yuichi Yamashita, Miki Takahasi, Tetsu Okumura, Maki Ikebuchi, Hiroko Yamada, Madoka Suzuki, Kazuo Okanoya, Jun Tani:
Developmental learning of complex syntactical song in the Bengalese finch: A neural network model. 1224-1231 - Liel Rubinsky, Nadav Raichman, Jacob Lavee, Hanan Frenk, Eshel Ben-Jacob:
Spatio-temporal motifs 'remembered' in neuronal networks following profound hypothermia. 1232-1237 - Konrad Schindler, Luc Van Gool, Béatrice de Gelder:
Recognizing emotions expressed by body pose: A biologically inspired neural model. 1238-1246 - Kay Henning Brodersen, William D. Penny, Lee M. Harrison, Jean Daunizeau, Christian C. Ruff, Emrah Düzel, Karl J. Friston, Klaas E. Stephan:
Integrated Bayesian models of learning and decision making for saccadic eye movements. 1247-1260 - Shunji Satoh, Shiro Usui:
Computational theory and applications of a filling-in process at the blind spot. 1261-1271 - Joaquín J. Torres, Joaquín Marro, Jesús M. Cortés, B. Wemmenhove:
Instabilities in attractor networks with fast synaptic fluctuations and partial updating of the neurons activity. 1272-1277 - Masashi Sugiyama, Neil Rubens:
A batch ensemble approach to active learning with model selection. 1278-1286 - Habiboulaye Amadou Boubacar, Stéphane Lecoeuche, Salah Maouche:
SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering. 1287-1301 - Luís M. Silva, Joaquim Marques de Sá, Luís A. Alexandre:
Data classification with multilayer perceptrons using a generalized error function. 1302-1310 - Leila Ait Gougam, Mouloud Tribeche, Fawzia Mekideche-Chafa:
A systematic investigation of a neural network for function approximation. 1311-1317 - Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. 1318-1327 - Ralph Linsker:
Neural network learning of optimal Kalman prediction and control. 1328-1343 - Nicolás García-Pedrajas, Domingo Ortiz-Boyer:
Boosting random subspace method. 1344-1362 - Fernanda L. Minku, Teresa Bernarda Ludermir:
Clustering and co-evolution to construct neural network ensembles: An experimental study. 1363-1379 - Narayan Srinivasa, Stephen Grossberg:
A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model. 1380-1391 - Lin Wu, Pierre Baldi:
Learning to play Go using recursive neural networks. 1392-1400 - Sunho Park, Seungjin Choi:
A constrained sequential EM algorithm for speech enhancement. 1401-1409 - Elif Derya Übeyli:
Implementing eigenvector methods/probabilistic neural networks for analysis of EEG signals. 1410-1417 - Eiji Mizutani, Stuart E. Dreyfus:
Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203]. 1418
Volume 21, Number 10, December 2008
- Masumi Ishikawa, Kenji Doya:
Mini-special issue: ICONIP 2007. 1419 - Sungmoon Jeong, Sang-Woo Ban, Minho Lee:
Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment. 1420-1430 - Hirotsugu Okuno, Tetsuya Yagi:
A visually guided collision warning system with a neuromorphic architecture. 1431-1438 - Hee-Sang Ko, Kwang Y. Lee, Min-Jae Kang, Ho-Chan Kim:
Power quality control of an autonomous wind-diesel power system based on hybrid intelligent controller. 1439-1446 - Eiji Uchibe, Kenji Doya:
Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. 1447-1455 - Liang Hu, Huijun Gao, Wei Xing Zheng:
Novel stability of cellular neural networks with interval time-varying delay. 1458-1463 - Wei Wu, Dong Nan, Jinling Long, Yu-mei Ma:
A comment on "Relaxed conditions for radial-basis function networks to be universal approximators". 1464-1465 - Jun Namikawa, Jun Tani:
A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance. 1466-1475 - Joshua P. Salmon, Thomas Trappenberg:
Modeling the integration of expectations in visual search with centre-surround neural fields. 1476-1492 - Patryk A. Laurent:
The emergence of saliency and novelty responses from Reinforcement Learning principles. 1493-1499 - Wlodzislaw Duch, Pawel Matykiewicz, John Pestian:
Neurolinguistic approach to natural language processing with applications to medical text analysis. 1500-1510 - Willem Waegeman, Bernard De Baets, Luc Boullart:
Learning layered ranking functions with structured support vector machines. 1511-1523 - Simone G. O. Fiori:
Lie-group-type neural system learning by manifold retractions. 1524-1529 - Filip Piekniewski, Tomasz Schreiber:
Spontaneous scale-free structure of spike flow graphs in recurrent neural networks. 1530-1536 - Furao Shen, Osamu Hasegawa:
A fast nearest neighbor classifier based on self-organizing incremental neural network. 1537-1547 - Yongping Zhao, Jianguo Sun:
Robust support vector regression in the primal. 1548-1555 - Meng Joo Er, Yi Zhou:
Automatic generation of fuzzy inference systems via unsupervised learning. 1556-1566
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