Spike-timing-dependent plasticity

Results: 48



#Item
1Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science

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

Language: English - Date: 2014-10-13 19:51:13
2Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity Bernhard Nessler1*, Michael Pfeiffer1,2, Lars Buesing1, Wolfgang Maass1 1 Institute for Theoretical Computer Scienc

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity Bernhard Nessler1*, Michael Pfeiffer1,2, Lars Buesing1, Wolfgang Maass1 1 Institute for Theoretical Computer Scienc

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

Language: English - Date: 2014-10-13 19:51:18
3From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation Preprint accepted for publication in Neural Networksdoi: j.neunetAndrea Soltoggioa, Kenneth O

From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation Preprint accepted for publication in Neural Networksdoi: j.neunetAndrea Soltoggioa, Kenneth O

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Source URL: eplex.cs.ucf.edu

Language: English - Date: 2012-07-05 22:51:04
4Auditory Habituation via Spike-Timing Dependent Plasticity in Recurrent Neural Circuits Richard Veale Matthias Scheutz

Auditory Habituation via Spike-Timing Dependent Plasticity in Recurrent Neural Circuits Richard Veale Matthias Scheutz

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Source URL: hrilab.tufts.edu

Language: English - Date: 2013-01-04 17:46:18
    5Call for Participation: Beyond correlations: Developments in supervised learning algorithms for spiking neural networks Workshop at ICANN 2011, Helsinki, ,

    Call for Participation: Beyond correlations: Developments in supervised learning algorithms for spiking neural networks Workshop at ICANN 2011, Helsinki, ,

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    Source URL: www.cis.hut.fi

    Language: English - Date: 2011-05-12 09:25:10
    6Journal of Physiology - Paris–18  Contents lists available at ScienceDirect Journal of Physiology - Paris journal homepage: www.elsevier.com/locate/jphysparis

    Journal of Physiology - Paris–18 Contents lists available at ScienceDirect Journal of Physiology - Paris journal homepage: www.elsevier.com/locate/jphysparis

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    Source URL: www-sop.inria.fr

    Language: English - Date: 2010-12-02 12:59:19
    7J Stat Phys: 565–602 DOIs10955How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation

    J Stat Phys: 565–602 DOIs10955How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation

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    Source URL: www-sop.inria.fr

    Language: English - Date: 2009-08-25 07:25:13
    8Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity David J. Jilk, Daniel M. Cer, and Randall C. O’Reilly Department of Psychology University of Colorado, Boulder 345

    Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity David J. Jilk, Daniel M. Cer, and Randall C. O’Reilly Department of Psychology University of Colorado, Boulder 345

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    Source URL: psych.colorado.edu

    Language: English - Date: 2003-06-14 00:35:46
    9CSIM : A Neural C ircuit SIM ulator Version 1.1 User Manual  c

    CSIM : A Neural C ircuit SIM ulator Version 1.1 User Manual c

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    Source URL: www.lsm.tugraz.at

    Language: English - Date: 2006-07-10 09:06:08
    10

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    Source URL: www.tnb.ua.ac.be

    Language: English - Date: 2014-02-10 10:38:41