UCL Neuroscience

Results: 176



#Item
11On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing Benjamin Schrauwen Electronics and Information Systems Department Ghent University

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing Benjamin Schrauwen Electronics and Information Systems Department Ghent University

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2014-10-13 19:51:13
12LETTER Communicated by Surya Ganguli Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons

LETTER Communicated by Surya Ganguli Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2014-10-13 19:51:12
13Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression Claudia Clopath., Lorric Ziegler., Eleni Vasilaki, Lars Bu¨sing¤, Wulfram Gerstner* Laboratory of Computational Neuroscience, B

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression Claudia Clopath., Lorric Ziegler., Eleni Vasilaki, Lars Bu¨sing¤, Wulfram Gerstner* Laboratory of Computational Neuroscience, B

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2014-10-13 19:51:17
14Kernel Distribution Embeddings: Theory and Applications Arthur Gretton Gatsby Computational Neuroscience Unit Oxford, February 2012

Kernel Distribution Embeddings: Theory and Applications Arthur Gretton Gatsby Computational Neuroscience Unit Oxford, February 2012

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2012-02-21 10:01:06
    15Variational Inference for Bayesian Mixtures of Factor Analysers Zoubin Ghahramani and Matthew J. Beal Gatsby Computational Neuroscience Unit University College London

    Variational Inference for Bayesian Mixtures of Factor Analysers Zoubin Ghahramani and Matthew J. Beal Gatsby Computational Neuroscience Unit University College London

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    Source URL: www.gatsby.ucl.ac.uk

    Language: English - Date: 2001-01-08 11:51:12
      16Bayesian Manifold Learning: The Locally Linear Latent Variable Model Mijung Park, Wittawat Jitkrittum, Ahmad Qamar∗, Zolt´an Szab´o, Lars Buesing†, Maneesh Sahani Gatsby Computational Neuroscience Unit

      Bayesian Manifold Learning: The Locally Linear Latent Variable Model Mijung Park, Wittawat Jitkrittum, Ahmad Qamar∗, Zolt´an Szab´o, Lars Buesing†, Maneesh Sahani Gatsby Computational Neuroscience Unit

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      Source URL: www.gatsby.ucl.ac.uk

      Language: English - Date: 2015-11-03 17:32:44
        17Optimal kernel choice for kernel hypothesis testing Arthur Gretton Gatsby Computational Neuroscience Unit MSR, Nov. 2012

        Optimal kernel choice for kernel hypothesis testing Arthur Gretton Gatsby Computational Neuroscience Unit MSR, Nov. 2012

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        Source URL: www.gatsby.ucl.ac.uk

        Language: English - Date: 2013-01-10 15:10:32
          18Nonparametric Indepedence Tests: Space Partitioning and Kernel Approaches Arthur Gretton1 and L´aszl´ o Gy¨ orfi2 1. Gatsby Computational Neuroscience Unit

          Nonparametric Indepedence Tests: Space Partitioning and Kernel Approaches Arthur Gretton1 and L´aszl´ o Gy¨ orfi2 1. Gatsby Computational Neuroscience Unit

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          Source URL: www.gatsby.ucl.ac.uk

          Language: English - Date: 2010-11-25 10:20:30
            19Learning with probabilities as inputs, using kernels Arthur Gretton Gatsby Computational Neuroscience Unit NIPS workshop on Probabilistic Numerics, 2015

            Learning with probabilities as inputs, using kernels Arthur Gretton Gatsby Computational Neuroscience Unit NIPS workshop on Probabilistic Numerics, 2015

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            Source URL: www.gatsby.ucl.ac.uk

            Language: English - Date: 2016-02-23 08:34:50
              20Randomized Algorithms for Fast Bayesian Hierarchical Clustering Katherine A. Heller and Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London, London, WC1N 3AR, UK {heller,zoubin}@gatsby.ucl.

              Randomized Algorithms for Fast Bayesian Hierarchical Clustering Katherine A. Heller and Zoubin Ghahramani Gatsby Computational Neuroscience Unit University College London, London, WC1N 3AR, UK {heller,zoubin}@gatsby.ucl.

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              Source URL: mlg.eng.cam.ac.uk

              Language: English - Date: 2007-02-16 12:45:58