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Computational statistics / Cybernetics / Science / Neuroscience / Artificial neural network / Spiking neural network / Reinforcement learning / Spike-timing-dependent plasticity / Backpropagation / Neural networks / Machine learning / Computational neuroscience


Call for Participation: Beyond correlations: Developments in supervised learning algorithms for spiking neural networks Workshop at ICANN 2011, Helsinki, ,
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Document Date: 2011-05-12 09:25:10

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File Size: 82,07 KB

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City

Helsinki / /

Company

ICANN / Cambrige University Press / /

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Facility

University of Surrey / University of Surrey Furthermore / /

IndustryTerm

gradient-based learning algorithms / gradient-descent algorithms / multi-layer networks / recurrent networks / neural networks / natural neural networks / defined neural networks / computing / supervised learning algorithms / hand learning algorithms / Real-time computing / artificial neural networks / reservoir computing / learning algorithms / /

Organization

University of Surrey / University of Surrey Furthermore / Department of Computing / /

Person

Bernd Porr / Henry Markram / Eugene M. Izhikevich / Scott Notley / Dejan Pecevski / Richard G.M. Morris / Robert Legenstein / Kenneth D. Harris / Ashley J.S. Mills / Hui Zhong / Andrzej Kasi / Andre Gruning / Filip Ponulak / Guo Qiang Bi / Uwe Frey / Ming Poo / Thomas Natschl¨ager / Peter Ti / Wolfgang Maass / /

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Position

tackle / straight-forward / /

PublishedMedium

PLoS Computational Biology / Journal of Neuroscience / /

Technology

neuroscience / biofeedback / applying learning algorithms / gradient-descent algorithms / hand learning algorithms / supervised learning algorithms / Gradient-based algorithms / gradient-based learning algorithms / machine learning / pdf / bio-inspired algorithms / /

URL

http /

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