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    NECO
    2006
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    Response Variability in Balanced Cortical Networks
    13 years 5 months ago
    Response Variability in Balanced Cortical Networks
    Download  www.gatsby.ucl.ac.uk
    Alexander Lerchner, Cristina Ursta, John Hertz, Ma...
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    NECO
    2006
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    Memory Capacity for Sequences in a Recurrent Network with Biological Constraints
    13 years 5 months ago
    Memory Capacity for Sequences in a Recurrent Network with Biological Constraints
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    Christian Leibold, Richard Kempter
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    NECO
    2006
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    An Oscillatory Neural Model of Multiple Object Tracking
    13 years 5 months ago
    An Oscillatory Neural Model of Multiple Object Tracking
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    Yakov B. Kazanovich, Roman Borisyuk
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    NECO
    2006
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    Analysis of Synchronization Between Two Modules of Pulse Neural Networks with Excitatory and Inhibitory Connections
    13 years 5 months ago
    Analysis of Synchronization Between Two Modules of Pulse Neural Networks with Excitatory and Inhibitory Connections
    Download  brain.cc.kogakuin.ac.jp
    Takashi Kanamaru
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    NECO
    2006
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    The Crystallizing Substochastic Sequential Machine Extractor: CrySSMEx
    13 years 5 months ago
    The Crystallizing Substochastic Sequential Machine Extractor: CrySSMEx
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    Henrik Jacobsson
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    NECO
    2006
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    Polychronization: Computation with Spikes
    13 years 5 months ago
    Polychronization: Computation with Spikes
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    Eugene M. Izhikevich
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    NECO
    2006
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    Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
    13 years 5 months ago
    Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
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    Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
    Aapo Hyvärinen
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    NECO
    2006
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    Enhancing Density-Based Data Reduction Using Entropy
    13 years 5 months ago
    Enhancing Density-Based Data Reduction Using Entropy
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    D. Huang, Tommy W. S. Chow
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    NECO
    2006
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    A Fast Learning Algorithm for Deep Belief Nets
    13 years 5 months ago
    A Fast Learning Algorithm for Deep Belief Nets
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    Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh
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    NECO
    2006
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    Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors
    13 years 5 months ago
    Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors
    Download  people.ee.duke.edu
    Mark Girolami, Simon Rogers
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