Table of Contents

• Numerical simulations of an optimal algorithm for supervised learningArnaud Buhot, Juan Manuel Torres Moreno, Mirta B. Gordon.
• From source separation to ICA: an introduction to the special sessionChristian Jutten.
• Neural network adative wavelets for function approximationYong Fang, Tommy W. S. Chow.
• Error measure for identifying chaotic attractorsTomas Hrycej.
• Optimization of the asymptotic performance of time-domain convolutive source separation algorithmsNabil Charkani, Yannick Deville.
• Recurrent neural networks and motor programsPaul I. Miller.
• Knowledge extraction from neural networks for signal interpretationFrédéric Alexandre, Jean-Francois Remm.
• Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequencesAna Isabel González, Manuel Graña, Alicia D Anjou, F. Xabier Albizuri, Marie Cottrell.
• Real neurons in real networksTom W. Scutt, Barbara Webb.
• Neural network cooperation for handwritten digit recognition: a comparison of four methodsYvon Autret, Andre Thepaut.
• Two neural network methods for multidimensional scalingMichiel C. van Wezel, Joost N. Kok, Walter A. Kosters.
• Probabilistic self organized map - application to classificationFatiha Anouar, Fouad Badran, Sylvie Thiria.
• A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibriaSeungjin Choi, Ruey-Wen Liu.
• A competitive learning algorithm for separating binary sourcesPetteri Pajunen.
• Connectionist rule processing using recursive auto-associative memoryMichael St Aubyn.
• Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densitiesLei Xu, Chi Chiu Cheung, Jiong Ruan, Shun-ichi Amari.
• Bayesian online learning in the perceptronOle Winther, Sara A. Solla.
• Synchronization and oscillations in the visual cortex: a stochastic model using a spike memory termM. Mougeot.
• Aspects of psychological computations in scene recognitionPhilippe G. Schyns.
• Composition methods for the integration of dynamical neural networksYves Moreau, Joos Vandewalle.
• Extended Bayesian learningSteffen Gutjahr, Christian Nautze.
• Time delay neural network for target-intercept problem solvingA. Korgul.
• Blind equalization with a linear feedforward neural networkX.-R. Cao, J. Zhu, J. Si.
• Noise robustness in the perceptronMauro Copelli.
• Neural network for color contrast gain controlMichael D Zmura.
• Evidence of efficiency of recurrent neural networks with ARMA-like unitsJean-Philippe Draye, Davor Pavisic, Guy Cheron, Gaetan Libert.
• New criterion of identification in the multilayered perceptron modellingMorgan Mangeas, Marie Cottrell, Jian-Feng Yao.
• Size invariance by dynamic scaling in neural vision systemsGotz Meierfrankenfeld, Klaus Kopecz.
• Scene classification by an artificial neural networkJeanny Hérault.
• From retinal circuits to motion processing: a neuromorphic approach to velocity estimationAntonio B. Torralba, Jeanny Hérault.
• The class of linear separability methodMohamed Tajine, David A. Elizondo, Emile Fiesler, Jerzy J. Korczak.
• Precursor networks for training the binary perceptronBart Van Rompaey.
• Nonlinear source separation: the post-nonlinear mixturesAnisse Taleb, Christian Jutten.
• State-space modeling using self-organizing mapsHeikki Hyötyniemi.
• Equivalence of a radial basis function NN and a perceptronIgor Grabec.
• Independence is far from normalMark Girolami, Colin Fyfe.
• Kohonen maps versus vector quantization for data analysisEric de Bodt, Michel Verleysen, Marie Cottrell.
• Measuring topology preservation in maps of real-world dataJ. Michael Herrmann, Hans-Ulrich Bauer, Thomas Villmann.
• How can the human visual system process a natural scene in under 150ms? Experiments and neural network modelsSimon J. Thorpe.
• An algebra for recognition of spatio-temporal formsGeorges Vaucher.
• I.C.A.: conditions on cumulants and information theoretic approachJean-Pierre Nadal, Néstor Parga.
• A fuzzy Artmap neural system for the prediction of turbulent velocity fieldsJoan Ferré-Giné, Robert Rallo, Alex Arenas, Francesc Giralt.
• Performance of weighted radial basis function classifiersLeonardo Maria Reyneri, Mirko Sgarbi.
• Extraction of crisp logical rules using constrained backpropagation networksWlodzislaw Duch, Rafal Adamczak, Krzysztof Grabczewski, Masumi Ishikawa, Hiroki Ueda.
• Exact asymptotic estimates of the storage capacities of the committee machines with overlapping and non-overlapping receptive fieldsChulan Kwon, Jong-Hoon Oh.
• A linear adaptive neural network for extraction of independent componentsZied Malouche, Odile Macchi.
• Speaker normalization with a mixture of recurrent networksEdmondo Trentin, Diego Giuliani.
• Application of a self-learning controller with continuous control signals based on the DOE-approachMartin A. Riedmiller.
• Inductive learning in animat-based neural networksM. Wexler.
• Almost sure convergence of the one-dimensional Kohonen algorithmAvec M. Benaïm, Jean-Claude Fort, Gilles Pagès.
• Optimal tuning curves for neurons spiking as a Poisson processNicolas Brunel, Jean-Pierre Nadal.
• Neuronal theories and technical systems for face recognitionRolf P. Würtz.
• Order between logic networks and stable neural networksYouichi Kobuchi.
• d-NARMA neural networks: a connectionist extension of ARARMA modelsDenis Bonnet, Véronique Perrault, Alain Grumbach.
• Sequential hypotheses tests for modelling neural networksUlrich Anders, Olaf Korn.
• Equivalent error bars for neural network classifiers trained by Bayesian inferencePeter Sykacek.
• Object Recognition with Banana WaveletsNorbert Krüger, Gabriele Peters. 61-66