Artificial neuron

Results: 424



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21Microsoft Word - Rockwood Memorial Lecture 2015_V2.docx

Microsoft Word - Rockwood Memorial Lecture 2015_V2.docx

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Source URL: www.inc.ucsd.edu

Language: English - Date: 2015-04-13 20:17:23
22On 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
23Multilayer Perceptrons and Backpropagation Informatics 1 CG: Lecture 6 Mirella Lapata Reading: Kevin Gurney’s Introduction to Neural Networks,

Multilayer Perceptrons and Backpropagation Informatics 1 CG: Lecture 6 Mirella Lapata Reading: Kevin Gurney’s Introduction to Neural Networks,

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Source URL: www.inf.ed.ac.uk

Language: English - Date: 2016-01-31 15:41:31
24Recurrent Neural Net Learning and Vanishing Gradient  International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(2):107{116, 1998 Sepp Hochreiter Institut fur Informatik

Recurrent Neural Net Learning and Vanishing Gradient International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(2):107{116, 1998 Sepp Hochreiter Institut fur Informatik

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:14:24
25Energy-efficient neuromorphic classifiers Daniel Mart´ı ∗ † , Mattia Rigotti ‡ †  Mingoo Seok § and Stefano Fusi †

Energy-efficient neuromorphic classifiers Daniel Mart´ı ∗ † , Mattia Rigotti ‡ † Mingoo Seok § and Stefano Fusi †

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Source URL: arxiv.org

Language: English - Date: 2015-07-01 20:19:56
26Journal of Machine Learning Research–217  Submitted 8/03; Published 2/04 Generalization Error Bounds for Threshold Decision Lists Martin Anthony

Journal of Machine Learning Research–217 Submitted 8/03; Published 2/04 Generalization Error Bounds for Threshold Decision Lists Martin Anthony

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Source URL: www.maths.lse.ac.uk

Language: English - Date: 2004-02-19 16:06:51
27Noname manuscript No. (will be inserted by the editor) Mathematical analysis of the primary network effect Etienne Emmrich1 , Joachim Kaldasch2 1

Noname manuscript No. (will be inserted by the editor) Mathematical analysis of the primary network effect Etienne Emmrich1 , Joachim Kaldasch2 1

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Source URL: www.math.tu-berlin.de

Language: English - Date: 2012-02-06 05:54:27
28Informatics 1 CG – Tutorial 2 Week 3 The goal of this tutorial is to deepen your understanding of perceptrons in general as well as the backpropagation algorithm used for training multilayer perceptrons. You should mak

Informatics 1 CG – Tutorial 2 Week 3 The goal of this tutorial is to deepen your understanding of perceptrons in general as well as the backpropagation algorithm used for training multilayer perceptrons. You should mak

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Source URL: www.inf.ed.ac.uk

Language: English - Date: 2015-01-23 06:08:04
29Neuroscience–91  REVIEW A TALE OF TWO SPECIES: NEURAL INTEGRATION IN ZEBRAFISH AND MONKEYS M. JOSHUA * AND S. G. LISBERGER

Neuroscience–91 REVIEW A TALE OF TWO SPECIES: NEURAL INTEGRATION IN ZEBRAFISH AND MONKEYS M. JOSHUA * AND S. G. LISBERGER

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Source URL: www.nbb.cornell.edu

Language: English
30Spiking Neural Networks Introduction 3  v(t) (mV)

Spiking Neural Networks Introduction 3 v(t) (mV)

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Source URL: www.inrialpes.fr

Language: English - Date: 2008-11-13 06:07:09