Neural computation

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  Año 2005, Vol. 17, Número 8

  • How Close Are We to Understanding V1?

    David J. Field, Bruno Olshausen

    págs. 1665-1699

    

  • Motion Contrast Classification Is a Linearly Nonseparable Problem

    Ralf Wessel, Alireza S. Mahani

    págs. 1700-1705

    

  • Edgeworth-Expanded Gaussian Mixture Density Modeling

    Marc M. Van Hulle

    págs. 1706-1714

    

  • Movement Generation with Circuits of Spiking Neurons

    Wolfgang Maass, Prashant Joshi

    págs. 1715-1738

    

  • Cognitive Enhancement Mediated Through Postsynaptic Actions of Norepinephrine on Ongoing Cortical Activity

    Osamu Hoshino

    págs. 1739-1775

    

  • Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing

    Theo Geisel, Abigail Morrison, Markus Diesmann, Ad Aertsen, Carsten Mehring

    págs. 1776-1801

    

  • Dynamical Analysis of Continuous Higher-Order Hopfield Networks for Combinatorial Optimization

    Gonzalo Joya Caparrós, Miguel Atencia, Francisco Sandoval Hernández

    págs. 1802-1819

    

  • Some Generalized Sufficient Convergence Criteria for Nonlinear Continuous Neural Networks

    Jito Vanualailai, Shin-Ichi Nakagiri

    págs. 1820-1835

    

  • Estimation and Marginalization Using the Kikuchi Approximation Methods

    Payam Pakzad, Venkat Anantharam

    págs. 1836-1873