Connectionists: Neurocomputing volume 70 (issues 13-15)
Tom Heskes
t.heskes at science.ru.nl
Tue Jun 5 04:13:59 EDT 2007
Neurocomputing volume 70 (issues 13-15)
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SPECIAL PAPERS
(Selected papers from the 3rd International Conference on Development
and Learning, edited by Gedeon Deák, Marni Stewart Bartlett and Tony Jebara)
New trends in Cognitive Science: Integrative approaches to learning and
development (editorial)
Gedeon O. Deák, Marni Stewart Bartlett and Tony Jebara
A unified model of early word learning: Integrating statistical and
social cues
Chen Yu and Dana H. Ballard
To each his own: The caregiver's role in a computational model of gaze
following
Christof Teuscher and Jochen Triesch
Affordances, effectivities, and assisted imitation: Caregivers and the
directing of attention
Patricia Zukow-Goldring and Michael A. Arbib
EEG evidence for mirror neuron activity during the observation of human
and robot actions: Toward an analysis of the human qualities of
interactive robots
Lindsay M. Oberman, Joseph P. McCleery, Vilayanur S. Ramachandran and
Jaime A. Pineda
Information maximization in face processing
Marian Stewart Bartlett
Visual object concept discovery: Observations in congenitally blind
children, and a computational approach
Jake V. Bouvrie and Pawan Sinha
Unique association between self-occlusion and double-touching towards
binding vision and touch
Yuichiro Yoshikawa, Koh Hosoda and Minoru Asada
Segmentation of textures defined on flat vs. layered surfaces using
neural networks: Comparison of 2D vs. 3D representations
Sejong Oh and Yoonsuck Choe
A probabilistic model of eye movements in concept formation
Jonathan D. Nelson and Garrison W. Cottrell
A model of Frame and Verb Compliance in language acquisition
Rutvik Desai
Towards a construction-based framework for development of language,
event perception and social cognition: Insights from grounded robotics
and simulation
Peter Ford Dominey
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SPECIAL PAPERS
(Time series prediction competition: the CATS benchmark, edited by
Amaury Lendasse, Erkki Oja, Olli Simula and Michel Verleysen)
Time series prediction competition: The CATS benchmark (editorial)
Amaury Lendasse, Erkki Oja, Olli Simula and Michel Verleysen
CATS benchmark time series prediction by Kalman smoother with
cross-validated noise density
Simo Särkkä, Aki Vehtari and Jouko Lampinen
Time series prediction with recurrent neural networks trained by a
hybrid PSO–EA algorithm
Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy and Donald C. Wunsch II
Time series prediction of the CATS benchmark using Fourier bandpass
filters and competitive associative nets
Shuichi Kurogi, Miho Sawa and Takamasa Ueno
Symmetric-embedding prediction of the CATS benchmark
P.F. Verdes, P.M. Granitto, M.I. Széliga, A. Rébola and H.A. Ceccatto
Time series prediction with ensemble models applied to the CATS benchmark
Jörg D. Wichard and Maciej Ogorza?ek
TVCAR models for forecasting
Federico Palacios-González
Time series prediction with a weighted bidirectional multi-stream
extended Kalman filter
Xiao Hu, Danil V. Prokhorov and Donald C. Wunsch II
Forecasting the CATS benchmark with the Double Vector Quantization method
Geoffroy Simon, John A. Lee, Marie Cottrell and Michel Verleysen
Multigrid-based fuzzy systems for time series prediction: CATS competition
L.J. Herrera, H. Pomares, I. Rojas, A. Guillén, J. González, M. Awad and
A. Herrera
Time series prediction using chaotic neural networks on the CATS benchmark
Igor Beliaev and Robert Kozma
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REGULAR PAPERS
On linear separability of data sets in feature space
Degang Chen, Qiang He and Xizhao Wang
A project neural network for solving degenerate convex quadratic program
Xiaoping Xue and Wei Bian
Nonlinear system identification with recurrent neural networks and
dead-zone Kalman filter algorithm
José de Jesús Rubio and Wen Yu
Multi-program approach for simulating recorded extracellular signals
generated by neurons coupled to microelectrode arrays
Paolo Massobrio, Giuseppe Massobrio and Sergio Martinoia
Exponential synchronization of stochastic perturbed chaotic delayed
neural networks
Yonghui Sun, Jinde Cao and Zidong Wang
New criteria of global exponential stability for a class of generalized
neural networks with time-varying delays
Huaguang Zhang and Gang Wang
Global exponential stability of delayed cellular neural networks with
impulses
Yonghui Xia, Jinde Cao and Sui Sun Cheng
An entropy-based quantum neuro-fuzzy inference system for classification
applications
Cheng-Jian Lin, I-Fang Chung and Cheng-Hung Chen
Periodic solution for nonautonomous bidirectional associative memory
neural networks with impulses
Zhanji Gui, Xiao-Song Yang and Weigao Ge
Incremental support vector machines and their geometrical analyses
Kazushi Ikeda and Takemasa Yamasaki
Robust exponential stability analysis of neural networks with multiple
time delays
Zhanshan Wang, Huaguang Zhang and Wen Yu
Hysteretic Hopfield network with dynamic tunneling for crossbar switch
and N-queens problem
P. Thangavel and D. Gladis
A self-organizing map of sigma–pi units
Cornelius Weber and Stefan Wermter
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BRIEF PAPERS
A novel hysteretic chaotic neural network and its applications
Xiangdong Liu and Chunbo Xiu
Comments and further improvements on “New LMI conditions for
delay-dependent asymptotic stability of delayed Hopfield neural networks”
Xuyang Lou and Baotong Cui
Two-dimensional nearest neighbor discriminant analysis
Xipeng Qiu and Lide Wu
Recurrent network simulations of two types of non-concentric retinal
ganglion cells
Wang-Qiang Niu and Jing-Qi Yuan
Training T-S norm neural networks to refine weights for fuzzy if–then rules
Xi-Zhao Wang, Chun-Ru Dong and Tie-Gang Fan
Statistical criteria for early-stopping of support vector machines
Tatyana V. Bandos, Gustavo Camps-Valls and Emilio Soria-Olivas
Liquid state machine and its separation ability as function of
electrical parameters of cell
Grzegorz M. Wojcik and Wieslaw A. Kaminski
Stability analysis of a discrete Hopfield neural network with delay
Eric C.C. Tsang, S.S. Qiu and Daniel S. Yeung
Optimal solution to crossbar packet-switch problems using a sequential
binary Hopfield neural network
Sancho Salcedo-Sanz and Jose A. Portilla-Figueras
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JOURNAL SITE: http://www.elsevier.com/locate/neucom
SCIENCE DIRECT: http://www.sciencedirect.com/science/journal/09252312
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