Neural computation

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  Año 2004, Vol. 16, Número 12

  • How Many Clusters? An Information-Theoretic Perspective

    William Bialek, Susanne Still

    págs. 2483-2506

    

  • A Learning Rule for Local Synaptic Interactions Between Excitation and Shunting Inhibition

    Chun-Hui Mo, Christof Koch, Ming Gu

    págs. 2507-2532

    

  • Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model

    Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli

    págs. 2533-2561

    

  • Image Representation by Complex Cell Responses

    Rolf P. Wurtz, Christoph von der Malsburg, Ingo J. Wundrich

    págs. 2563-2575

    

  • Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity

    David Horn, Ronen Segev, Eshel Ben-Jacob, Vladislav Volman, Erez Persi

    págs. 2577-2595

    

  • Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories

    Daniel J. Amit, Emanuele Curti, Gianluigi Mongillo, Giancarlo La Camera

    págs. 2597-2637

    

  • Canonical Correlation Analysis: An Overview with Application to Learning Methods

    John Shawe-Taylor, David R. Hardoon, Sandor Szedmak

    págs. 2639-2664

    

  • Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession

    Yoko Yamaguchi, Hiroaki Wagatsuma

    págs. 2665-2697

    

  • A Complex-Valued RTRL Algorithm for Recurrent Neural Networks

    Su Lee Goh, Danilo P. Mandic

    págs. 2699-2713