Neural computation

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  Año 2002, Vol. 14, Número 11

  • Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations

    Henry Markram, Wolfgang Maass, Thomas Natschläger

    págs. 2531-2560

    

  • Universal Approximation of Multiple Nonlinear Operators by Neural Networks

    Tianping Chen, Andrew D. Back

    págs. 2561-2566

    

  • Long-Term Reward Prediction in TD Models of the Dopamine System

    David S. Touretzky, Nathaniel D Daw

    págs. 2567-2583

    

  • Invariant Object Recognition in the Visual System with Novel Views of 3D Objects

    Simon M. Stringer, Edmund Rolls

    págs. 2585-2596

    

  • Dynamical Working Memory and Timed Responses: The Role of Reverberating Loops in the Olivo-Cerebellar System

    Werner M. Kistler, Chris I. De Zeeuw

    págs. 2597-2626

    

  • Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition

    Xiaohui Xie, H. Sebastian Seung, Richard H. R. Hahnloser

    págs. 2627-2646

    

  • An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models

    Harri Valpola, Juha Karhunen

    págs. 2647-2692

    

  • Data-Reusing Recurrent Neural Adaptive Filters

    Danilo P. Mandic

    págs. 2693-2707

    

  • Training a Single Sigmoidal Neuron Is Hard

    J. Sima

    págs. 2709-2728

    

  • Two Timescale Analysis of the Alopex Algorithm for Optimization

    P. S. Sastry, M. Magesh, K. P. Unnikrishnan

    págs. 2729-2750

    

  • A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method

    Tommy W. S. Chow, Siu-Yeung Cho

    págs. 2751-2789