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    Journal: Neural Networks

    Volume 23, Issue 8-9

    939 -- 0Stephen Grossberg, Andrew N. Meltzoff, Javier R. Movellan, Nora S. Newcombe. Social cognition: From babies to robots
    940 -- 965Stephen Grossberg, Tony Vladusich. How do children learn to follow gaze, share joint attention, imitate their teachers, and use tools during social interactions?
    966 -- 972Andrew N. Meltzoff, Rechele Brooks, Aaron P. Shon, Rajesh P. N. Rao. Social robots are psychological agents for infants: A test of gaze following
    973 -- 984Nicholas J. Butko, Javier R. Movellan. Detecting contingencies: An infomax approach
    985 -- 997Peter Mundy, William Jarrold. Infant joint attention, neural networks and social cognition
    998 -- 1003Cordula Vesper, Stephen Butterfill, Günther Knoblich, Natalie Sebanz. A minimal architecture for joint action
    1004 -- 1016Daniel M. Messinger, Paul Ruvolo, Naomi V. Ekas, Alan Fogel. Applying machine learning to infant interaction: The development is in the details
    1017 -- 1025Peter J. Marshall, Cédric A. Bouquet, Amanda L. Thomas, Thomas F. Shipley. Motor contagion in young children: Exploring social influences on perception-action coupling
    1026 -- 1032Susan J. Hespos, Stacy R. Grossman, Megan M. Saylor. Infants ability to parse continuous actions: Further evidence
    1033 -- 1042Karen E. Adolph, Lana Karasik, Catherine S. Tamis-LeMonda. Using social information to guide action: Infants locomotion over slippery slopes
    1043 -- 1050Mark A. Sabbagh, Sydney F. R. Hopkins, Jeannette E. Benson, J. Randall Flanagan. Conceptual change and preschoolers theory of mind: Evidence from load-force adaptation
    1051 -- 1059Andreas Roepstorff, Jörg Niewöhner, Stefan Beck. Enculturing brains through patterned practices
    1060 -- 1071David M. Sobel, David W. Buchanan, Jesse Butterfield, Odest Chadwicke Jenkins. Interactions between causal models, theories, and social cognitive development
    1072 -- 1076Helen Tager-Flusberg. The origins of social impairments in autism spectrum disorder: Studies of infants at risk
    1077 -- 1090Kai Vogeley, Gary Bente. Artificial humans : Psychology and neuroscience perspectives on embodiment and nonverbal communication
    1091 -- 1098Kara D. Sage, Dare A. Baldwin. Social gating and pedagogy: Mechanisms for learning and implications for robotics
    1099 -- 1103Rachel 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
    1104 -- 1112Nathan P. Koenig, Leila Takayama, Maja J. Mataric. Communication and knowledge sharing in human-robot interaction and learning from demonstration
    1113 -- 1124Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. Meltzoff. Self discovery enables robot social cognition: Are you my teacher?
    1125 -- 1134Giorgio 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

    Volume 23, Issue 7

    783 -- 788Wei Wu, Bo Liu, Tianping Chen. Analysis of firing behaviors in networks of pulse-coupled oscillators with delayed excitatory coupling
    789 -- 804Yash P. Gad, Thomas J. Anastasio. Simulating the shaping of the fastigial deep nuclear saccade command by cerebellar Purkinje cells
    805 -- 811M. U. Akhmet, D. Arugaslan, E. Yilmaz. Stability analysis of recurrent neural networks with piecewise constant argument of generalized type
    812 -- 818Hong Chen, Luoqing Li, Jiangtao Peng. Semi-supervised learning based on high density region estimation
    819 -- 835Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov. Evolving spiking neural networks for audiovisual information processing
    836 -- 842Isao Tokuda, Cheol E. Han, Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer. The role of chaotic resonance in cerebellar learning
    843 -- 864Takafumi Kanamori. Deformation of log-likelihood loss function for multiclass boosting
    865 -- 871Xiangyu Kong, Changhua Hu, Chongzhao Han. A self-stabilizing MSA algorithm in high-dimension data stream
    872 -- 880Changjin Xu, Xianhua Tang, Maoxin Liao. Frequency domain analysis for bifurcation in a simplified tri-neuron BAM network model with two delays
    881 -- 886Yuriy V. Pershin, Massimiliano Di Ventra. Experimental demonstration of associative memory with memristive neural networks
    887 -- 891Rodrigo T. Peres, Carlos E. Pedreira. A new local-global approach for classification
    892 -- 904Mahmood Amiri, Hamed Davande, Alireza Sadeghian, Sylvain Chartier. Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks
    905 -- 916Sylvie 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
    917 -- 925Cristiano Cervellera, Danilo Macciò, Marco Muselli. Efficient global maximum likelihood estimation through kernel methods
    926 -- 938Kunihiko Fukushima. Neocognitron trained with winner-kill-loser rule

    Volume 23, Issue 6

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

    Volume 23, Issue 5

    583 -- 586Bipul Luitel, Ganesh K. Venayagamoorthy. Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems
    587 -- 591Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy. Adaptive critics for dynamic optimization
    592 -- 606Michael Klein, Hans Kamp, Guenther Palm, Kenji Doya. A computational neural model of goal-directed utterance selection
    607 -- 613Magnus Jändel. A neural support vector machine
    618 -- 624Jianjun Wang, ZongBen Xu. New study on neural networks: the essential order of approximation
    625 -- 638Jun Namikawa, Jun Tani. Learning to imitate stochastic time series in a compositional way by chaos
    639 -- 648Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama. Efficient exploration through active learning for value function approximation in reinforcement learning
    649 -- 666Pierre Baldi, Laurent Itti. Of bits and wows: A Bayesian theory of surprise with applications to attention

    Volume 23, Issue 4

    465 -- 0Vera Kurková, Roman Neruda, Jan Koutník. Editorial
    466 -- 470Nello Cristianini. Are we there yet?
    471 -- 475Alexey Minin, Marina Velikova, Bernhard Lang, Hennie Daniels. Comparison of universal approximators incorporating partial monotonicity by structure
    476 -- 486Banchar Arnonkijpanich, Alexander Hasenfuss, Barbara Hammer. Local matrix learning in clustering and applications for manifold visualization
    487 -- 496Krzysztof Dobosz, Wlodzislaw Duch. Understanding neurodynamical systems via Fuzzy Symbolic Dynamics
    497 -- 509Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm. Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training
    510 -- 516Hong Zhang, Masumi Ishikawa. The performance verification of an evolutionary canonical particle swarm optimizer
    517 -- 527Simeon A. Bamford, Alan F. Murray, David J. Willshaw. Synaptic rewiring for topographic mapping and receptive field development
    528 -- 540Kunihiko Fukushima. Neural network model for completing occluded contours
    541 -- 550Marek Grzes, Daniel Kudenko. Online learning of shaping rewards in reinforcement learning
    551 -- 559Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber. Parameter-exploring policy gradients
    560 -- 567Stanislav Slusny, Roman Neruda, Petra Vidnerová. Comparison of behavior-based and planning techniques on the small robot maze exploration problem
    568 -- 582Pavel Kordík, Jan Koutník, Jan Drchal, Oleg Kovárík, Miroslav Cepek, Miroslav Snorek. Meta-learning approach to neural network optimization

    Volume 23, Issue 3

    315 -- 321Hongyang Liu, Yan Ou, Jun Hu, Tingting Liu. Delay-dependent stability analysis for continuous-time BAM neural networks with Markovian jumping parameters
    322 -- 333Tobias Larsen, Rafal Bogacz. Initiation and termination of integration in a decision process
    334 -- 340Jianye Sun. Neural belief network
    341 -- 355Michiel Hermans, Benjamin Schrauwen. Memory in linear recurrent neural networks in continuous time
    356 -- 364Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano. Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method
    365 -- 372Xinjun Peng. TSVR: An efficient Twin Support Vector Machine for regression
    373 -- 385Li Zhang, Weida Zhou. On the sparseness of 1-norm support vector machines
    386 -- 395Henrique 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
    396 -- 405Youshen Xia, Mohamed S. Kamel, Henry Leung. A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method
    406 -- 418Julián 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
    419 -- 425F. 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
    426 -- 434Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic. Split quaternion nonlinear adaptive filtering
    435 -- 451Gail A. Carpenter, Chaitanya Sai Gaddam. Biased ART: A neural architecture that shifts attention toward previously disregarded features following an incorrect prediction
    452 -- 460Jimmy Or. A hybrid CPG-ZMP control system for stable walking of a simulated flexible spine humanoid robot
    461 -- 464Amparo Fúster-Sabater, Maria Eugenia Pazo-Robles, Pino Caballero-Gil. A simple linearization of the self-shrinking generator by means of cellular automata

    Volume 23, Issue 2

    155 -- 159Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang. A simple method for designing efficient small-world neural networks
    160 -- 176Florian Raudies, Heiko Neumann. A neural model of the temporal dynamics of figure-ground segregation in motion perception
    189 -- 200Lili Wang, Wenlian Lu, Tianping Chen. Coexistence and local stability of multiple equilibria in neural networks with piecewise linear nondecreasing activation functions
    201 -- 209Gan Huang, Jinde Cao. Delay-dependent multistability in recurrent neural networks
    210 -- 218Yonmook Park. Optimal and robust design of brain-state-in-a-box neural associative memories
    219 -- 225Kentaro Katahira, Tatsuya Cho, Kazuo Okanoya, Masato Okada. Optimal node perturbation in linear perceptrons with uncertain eligibility trace
    226 -- 238Md. Nurul Haque Mollah, Nayeema Sultana, Mihoko Minami, Shinto Eguchi. Robust extraction of local structures by the minimum beta-divergence method
    239 -- 243Ilya Sutskever, Geoffrey E. Hinton. Temporal-Kernel Recurrent Neural Networks
    244 -- 256Georg Holzmann, Helmut Hauser. Echo state networks with filter neurons and a delay&sum readout
    257 -- 264Junbin Gao, Paul W. Kwan, Daming Shi. Sparse kernel learning with LASSO and Bayesian inference algorithm
    265 -- 282Gregory P. Amis, Gail A. Carpenter. Self-supervised ARTMAP
    283 -- 294Robert J. May, Holger R. Maier, Graeme C. Dandy. Data splitting for artificial neural networks using SOM-based stratified sampling
    295 -- 305Xindi Cai, Ganesh K. Venayagamoorthy, Donald C. Wunsch II. Evolutionary swarm neural network game engine for Capture Go
    306 -- 313Thomas E. Portegys. A maze learning comparison of Elman, long short-term memory, and Mona neural networks

    Volume 23, Issue 10

    1135 -- 1138Stephen Grossberg. Towards building a neural networks community
    1139 -- 1154Dustin Connor, Murray Shanahan. A computational model of a global neuronal workspace with stochastic connections
    1155 -- 1163Adnan Khashman. Modeling cognitive and emotional processes: A novel neural network architecture
    1164 -- 1179Yulia Sandamirskaya, Gregor Schöner. An embodied account of serial order: How instabilities drive sequence generation
    1180 -- 1186Toru Aonishi, Yasunao Komatsu, Koji Kurata. Self-consistent signal-to-noise analysis of Hopfield model with unit replacement
    1187 -- 1201R. Jessop, S. A. Campbell. Approximating the stability region of a neural network with a general distribution of delays
    1202 -- 1207He Huang, Gang Feng, Jinde Cao. State estimation for static neural networks with time-varying delay
    1208 -- 1225Ezequiel López-Rubio. Probabilistic self-organizing maps for qualitative data
    1226 -- 1237Jukka-Pekka Kauppi, Kalle Martikainen, Ulla Ruotsalainen. Hierarchical classification of dynamically varying radar pulse repetition interval modulation patterns
    1238 -- 1251Ricardo de A. Araújo. Hybrid intelligent methodology to design translation invariant morphological operators for Brazilian stock market prediction
    1252 -- 1263Bing Lu, Alireza A. Dibazar, Theodore W. Berger. Noise-robust acoustic signature recognition using nonlinear Hebbian learning
    1264 -- 1275Hengjie 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
    1276 -- 1285Yongping Zhao, Jianguo Sun. A fast method to approximately train hard support vector regression
    1286 -- 1299H. L. Wei, S. A. Billings, Y. F. Zhao, L. Z. Guo. An adaptive wavelet neural network for spatio-temporal system identification

    Volume 23, Issue 1

    1 -- 0Kenji Doya, Stephen Grossberg, John G. Taylor. Editorial for 2010
    14 -- 15Ezequiel Morsella, Stephen C. Krieger, John A. Bargh. Minimal neuroanatomy for a conscious brain: Homing in on the networks constituting consciousness
    16 -- 19Nikola Kasabov. To spike or not to spike: A probabilistic spiking neuron model
    20 -- 34Sumio Watanabe. Equations of states in singular statistical estimation
    35 -- 43Keisuke Yamazaki, Miki Aoyagi, Sumio Watanabe. Asymptotic analysis of Bayesian generalization error with Newton diagram
    44 -- 59Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui. Dimensionality reduction for density ratio estimation in high-dimensional spaces
    60 -- 73Pei-Yi Hao. New support vector algorithms with parametric insensitive/margin model
    74 -- 88Ângelo Cardoso, Andreas Wichert. Neocognitron and the Map Transformation Cascade
    89 -- 107K.-L. Du. Clustering: A neural network approach
    108 -- 113Jianye Sun. Local coupled feedforward neural network
    114 -- 124C. A. S. Batista, S. R. Lopes, R. L. Viana, A. M. Batista. Delayed feedback control of bursting synchronization in a scale-free neuronal network
    125 -- 134Xiaohua Wang, S. N. Balakrishnan. Optimal neurocontroller synthesis for impulse-driven systems
    135 -- 143Shen Furao, Akihito Sudo, Osamu Hasegawa. An online incremental learning pattern-based reasoning system
    144 -- 153Gonzalo Pajares, María Guijarro, Angela Ribeiro. A Hopfield Neural Network for combining classifiers applied to textured images
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