Neural computation

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  Año 2003, Vol. 15, Número 7

  • Background Synaptic Activity as a Switch Between Dynamical States in a Network

    Emilio Salinas

    págs. 1439-1475

    

  • Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma

    Robert Tibshirani, Trevor Hastie, Jerome Friedman

    págs. 1477-1480

    

  • Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization

    Gal Chechik

    págs. 1481-1510

    

  • Relating STDP to BCM

    Niraj S. Desai, Eugene M. Izhikevich

    págs. 1511-1523

    

  • Learning Innate Face Preferences

    James A. Bednar, Risto Miikkulainen

    págs. 1525-1557

    

  • Learning Optimized Features for Hierarchical Models of Invariant Object Recognition

    Heiko Wersing, Edgar Körner

    págs. 1559-1588

    

  • Soft Learning Vector Quantization

    Klaus Obermayer, Sambu Seo

    págs. 1589-1604

    

  • An Efficient Approximation Algorithm for Finding a Maximum Clique Using Hopfield Network Learning

    Zheng Tang, Qi Ping Cao, Rong Long Wang

    págs. 1605-1619

    

  • The Effect of Noise on a Class of Energy-Based Learning Rules

    D. Remondini, A. Bazzani, G.C. Castellani, Nathan Intrator

    págs. 1621-1640

    

  • Approximation by Fully Complex Multilayer Perceptrons

    Tülay Adali, Taehwan Kim

    págs. 1641-1666

    

  • Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel

    S. Sathiya Keerthi, Chih-Jen Lin

    págs. 1667-1689

    

  • Comparison of Model Selection for Regression

    Yunqian Ma, Vladimir Cherkassky

    págs. 1691-1714