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UCL Neuroscience
Results: 176

#	Item
11	On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing Benjamin Schrauwen Electronics and Information Systems Department Ghent University Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:13 Artificial neural networks Computational neuroscience Computational statistics Digital signal processing Mathematical psychology Artificial neuron Quantization Normal distribution Liquid state machine
12	LETTER Communicated by Surya Ganguli Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:12 Dynamical systems Functional analysis Mathematical physics Statistical mechanics Computational neuroscience Lyapunov exponent Boolean network Artificial neural network Chaos theory Perturbation theory
13	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 Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:17 Neurophysiology Neuroscience Cellular neuroscience Memory Neurobiology Synaptic tagging Long-term potentiation Synaptic plasticity Long-term depression Schaffer collateral Ca2+/calmodulin-dependent protein kinase II AMPA receptor
14	Kernel Distribution Embeddings: Theory and Applications Arthur Gretton Gatsby Computational Neuroscience Unit Oxford, February 2012 Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2012-02-21 10:01:06
15	Variational Inference for Bayesian Mixtures of Factor Analysers Zoubin Ghahramani and Matthew J. Beal Gatsby Computational Neuroscience Unit University College London Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2001-01-08 11:51:12
16	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 Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2015-11-03 17:32:44
17	Optimal kernel choice for kernel hypothesis testing Arthur Gretton Gatsby Computational Neuroscience Unit MSR, Nov. 2012 Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2013-01-10 15:10:32
18	Nonparametric Indepedence Tests: Space Partitioning and Kernel Approaches Arthur Gretton1 and L´aszl´ o Gy¨ orfi2 1. Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-11-25 10:20:30
19	Learning with probabilities as inputs, using kernels Arthur Gretton Gatsby Computational Neuroscience Unit NIPS workshop on Probabilistic Numerics, 2015 Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2016-02-23 08:34:50
20	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. Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2007-02-16 12:45:58

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